# Mavera

## Docs

- [Create brand voice](https://docs.mavera.io/api-reference/brand-voice/create-brand-voice.md): Create a new brand voice by providing source materials (URLs and/or documents). The AI will analyze the content and generate a brand voice profile. Processing happens asynchronously - poll the GET endpoint to check status.
- [Delete brand voice](https://docs.mavera.io/api-reference/brand-voice/delete-brand-voice.md): Permanently delete a brand voice.
- [Get brand voice](https://docs.mavera.io/api-reference/brand-voice/get-brand-voice.md): Get full details for a specific brand voice including all generated guidelines.
- [List brand voices](https://docs.mavera.io/api-reference/brand-voice/list-brand-voices.md): Get all brand voices for your workspaces.
- [Update brand voice](https://docs.mavera.io/api-reference/brand-voice/update-brand-voice.md): Update an existing brand voice. You can modify the label, usage context, and all generated content fields.
- [Create a custom persona](https://docs.mavera.io/api-reference/custom-personas/create-a-custom-persona.md): Create a custom AI-powered persona using one of three pipeline types:
- [Delete a custom persona](https://docs.mavera.io/api-reference/custom-personas/delete-a-custom-persona.md): Permanently delete a custom persona. Only custom personas can be deleted - base personas are protected. This action cannot be undone.
- [Generate persona suggestions](https://docs.mavera.io/api-reference/custom-personas/generate-persona-suggestions.md): Generate AI-powered persona suggestions for the North Star pipeline. Returns 2 persona options based on your business context. This endpoint is free - credits are only charged when you create a persona from a suggestion.
- [Get persona details](https://docs.mavera.io/api-reference/custom-personas/get-persona-details.md): Retrieve detailed information about a persona, including custom persona fields if applicable. Returns full details for custom personas including goals, pains, channels, and all pipeline-specific fields.
- [Update a custom persona](https://docs.mavera.io/api-reference/custom-personas/update-a-custom-persona.md): Update fields of a custom persona. Only custom personas can be modified - base personas are read-only. You can update the name, description, and any custom persona fields.
- [Create file record](https://docs.mavera.io/api-reference/files/create-file-record.md): Create a file record after uploading. This endpoint should be called AFTER uploading the file using the presigned URL from `/files/upload-url`. It creates the database record and updates storage usage tracking.
- [Delete file](https://docs.mavera.io/api-reference/files/delete-file.md): Permanently delete a file. This removes the file from storage and the database, and reclaims the storage quota.
- [Get file](https://docs.mavera.io/api-reference/files/get-file.md): Get full details for a specific file.
- [Get presigned upload URL](https://docs.mavera.io/api-reference/files/get-presigned-upload-url.md): Generate a presigned URL for direct file upload. This allows clients to upload files directly to storage without passing through the API server. After uploading, call `POST /files` to create the database record.
- [List files](https://docs.mavera.io/api-reference/files/list-files.md): Get all files/assets for your workspaces. Supports filtering by workspace, folder, file type, favorites, and search.
- [Toggle file favorite](https://docs.mavera.io/api-reference/files/toggle-file-favorite.md): Add or remove a file from your favorites. Returns the new favorite status.
- [Create a focus group](https://docs.mavera.io/api-reference/focus-groups/create-a-focus-group.md): Create a new AI-powered focus group study. Focus groups generate synthetic responses from personas for market research, product feedback, and audience insights.
- [Get focus group details](https://docs.mavera.io/api-reference/focus-groups/get-focus-group-details.md): Retrieves a focus group by ID. When status is `completed`, includes full results with responses grouped by question.
- [List focus groups](https://docs.mavera.io/api-reference/focus-groups/list-focus-groups.md): Returns a paginated list of focus groups for the authenticated user.
- [Create folder](https://docs.mavera.io/api-reference/folders/create-folder.md): Create a new folder in a workspace.
- [Delete folder](https://docs.mavera.io/api-reference/folders/delete-folder.md): Permanently delete a folder and all files inside it. This removes all files from storage and reclaims the storage quota.
- [Get folder](https://docs.mavera.io/api-reference/folders/get-folder.md): Get folder details with optional file contents.
- [List folders](https://docs.mavera.io/api-reference/folders/list-folders.md): Get all folders for a workspace. Supports filtering by favorites and search.
- [Toggle folder favorite](https://docs.mavera.io/api-reference/folders/toggle-folder-favorite.md): Add or remove a folder from your favorites. Returns the new favorite status.
- [Delete generation](https://docs.mavera.io/api-reference/generations/delete-generation.md): Permanently delete a generation.
- [Generate content](https://docs.mavera.io/api-reference/generations/generate-content.md): Generate AI content using a template. Uses credits. Supports both standard and streaming responses via the `stream` parameter.
- [Get generation](https://docs.mavera.io/api-reference/generations/get-generation.md): Get full details of a specific generation including all input/output data.
- [List generation apps](https://docs.mavera.io/api-reference/generations/list-generation-apps.md): Get all available generation app templates. These define what types of content you can generate.
- [List generations](https://docs.mavera.io/api-reference/generations/list-generations.md): List your generation history.
- [Update generation](https://docs.mavera.io/api-reference/generations/update-generation.md): Update a generation's title.
- [Delete Mave thread](https://docs.mavera.io/api-reference/mave/delete-mave-thread.md): Permanently delete a thread and all associated data.
- [Get Mave thread](https://docs.mavera.io/api-reference/mave/get-mave-thread.md): Get full thread details including all messages, sources, and personas used.
- [List Mave threads](https://docs.mavera.io/api-reference/mave/list-mave-threads.md): List your Mave conversation threads.
- [Send message to Mave](https://docs.mavera.io/api-reference/mave/send-message-to-mave.md): Send a message to Mave and get an AI-researched response. Creates a new thread if `thread_id` is not provided. Mave conducts comprehensive investigations using multiple data sources, personas, and fact-checking.
- [Update Mave thread](https://docs.mavera.io/api-reference/mave/update-mave-thread.md): Update a thread's title.
- [Cancel meeting recording](https://docs.mavera.io/api-reference/meetings/cancel-meeting-recording.md): Cancel a meeting recording. The meeting record is kept but marked as cancelled. Use this to stop a bot that's currently recording or to cancel a scheduled recording.
- [Create meeting bot](https://docs.mavera.io/api-reference/meetings/create-meeting-bot.md): Create a new meeting bot to record and transcribe a meeting. Supports Zoom, Google Meet, Microsoft Teams, and Webex. The bot will join the meeting immediately or at a scheduled time.
- [Create meeting schema](https://docs.mavera.io/api-reference/meetings/create-meeting-schema.md): Create a new custom schema for extracting structured data from meeting transcripts.
- [Delete meeting](https://docs.mavera.io/api-reference/meetings/delete-meeting.md): Delete a meeting and all its associated data including analysis, transcripts, and recordings. This action is irreversible.
- [Delete meeting schema](https://docs.mavera.io/api-reference/meetings/delete-meeting-schema.md): Delete a custom schema. You can only delete schemas that you created. Built-in schemas cannot be deleted.
- [Get meeting](https://docs.mavera.io/api-reference/meetings/get-meeting.md): Get detailed information about a specific meeting, including tasks, decisions, transcript summary, and analysis status.
- [Get meeting analysis](https://docs.mavera.io/api-reference/meetings/get-meeting-analysis.md): Get AI analysis results for a meeting, including summary, highlights, tasks, decisions, coaching metrics, and schema results.
- [Get meeting schema](https://docs.mavera.io/api-reference/meetings/get-meeting-schema.md): Get details of a specific schema, including all field definitions.
- [Get meeting schema results](https://docs.mavera.io/api-reference/meetings/get-meeting-schema-results.md): Get all schema extraction results for a meeting. Schemas are used to extract structured data from meeting transcripts.
- [Get meeting transcript](https://docs.mavera.io/api-reference/meetings/get-meeting-transcript.md): Get the transcript for a meeting. Supports multiple output formats and time range filtering.
- [List meeting schemas](https://docs.mavera.io/api-reference/meetings/list-meeting-schemas.md): Get all available meeting schemas, including built-in schemas, published marketplace schemas, and your custom schemas.
- [List meetings](https://docs.mavera.io/api-reference/meetings/list-meetings.md): Get all meetings for your workspaces. Supports filtering by status and workspace.
- [Run schema on meeting](https://docs.mavera.io/api-reference/meetings/run-schema-on-meeting.md): Run a schema against a meeting's transcript to extract structured data. Uses AI to analyze the transcript and extract field values based on the schema definition.
- [List available models](https://docs.mavera.io/api-reference/models/list-available-models.md): Returns the list of models currently available for chat completions. Each model object includes its capabilities and limits. This endpoint does not require authentication.
- [Analyze story for persona](https://docs.mavera.io/api-reference/news/analyze-story-for-persona.md): AI-powered analysis of how a persona perceives the news story. Uses credits.
- [Chat about a story](https://docs.mavera.io/api-reference/news/chat-about-a-story.md): Have a conversation with AI about a news story. Ask questions, get analysis, and understand the story better. Uses credits.
- [Get personalized news](https://docs.mavera.io/api-reference/news/get-personalized-news.md): Get personalized news stories based on your persona IDs. AI generates relevant keywords from your personas to filter news.
- [Get story details](https://docs.mavera.io/api-reference/news/get-story-details.md): Get full details for a news story including key points, Q&A, and history.
- [Get trending news](https://docs.mavera.io/api-reference/news/get-trending-news.md): Get trending news stories by category.
- [List available personas](https://docs.mavera.io/api-reference/personas/list-available-personas.md): Returns all personas accessible to the authenticated user. This includes base/global personas (available to everyone) and custom personas created within the user's workspaces. The `prompt` field is excluded from responses for IP protection.
- [Create project](https://docs.mavera.io/api-reference/projects/create-project.md): Create a new project within a workspace.
- [Get project](https://docs.mavera.io/api-reference/projects/get-project.md): Get detailed information about a specific project, including usage stats.
- [List projects](https://docs.mavera.io/api-reference/projects/list-projects.md): Get all projects the authenticated user has access to. Optionally filter by workspace.
- [Update project](https://docs.mavera.io/api-reference/projects/update-project.md): Update project settings. Owners, managers, and editors can update projects.
- [Create a response](https://docs.mavera.io/api-reference/responses/create-a-response.md): Generates a model response for the given input. Supports both non-streaming and SSE streaming responses via the OpenAI Responses API format. Inject a Mavera persona via `persona_id` to prepend a curated system prompt.
- [Health check](https://docs.mavera.io/api-reference/system/health-check.md): Returns the current health status of the API, including database connectivity. Use this endpoint to verify the service is operational. This endpoint does not require authentication.
- [Get usage statistics](https://docs.mavera.io/api-reference/usage/get-usage-statistics.md): Get current usage statistics for your subscription including credits, transcription minutes, storage, and API request metrics.
- [Chat about video analysis](https://docs.mavera.io/api-reference/video-analysis/chat-about-video-analysis.md): Have a conversation about a completed video analysis. The AI has full access to the analysis data and can explain metrics, provide recommendations, and answer questions.
- [Create a video analysis](https://docs.mavera.io/api-reference/video-analysis/create-a-video-analysis.md): Submit a video for comprehensive AI-powered analysis. The video will be processed in the background, analyzing emotional, cognitive, behavioral, and technical metrics.
- [Get video analysis](https://docs.mavera.io/api-reference/video-analysis/get-video-analysis.md): Retrieve a video analysis by ID. Returns full results when status is `completed`, including all metrics and chunk-level data.
- [List video analyses](https://docs.mavera.io/api-reference/video-analysis/list-video-analyses.md): Returns all video analyses for the authenticated user. Supports pagination and status filtering.
- [Create workspace](https://docs.mavera.io/api-reference/workspaces/create-workspace.md): Create a new workspace. Requires an active subscription.
- [Delete workspace](https://docs.mavera.io/api-reference/workspaces/delete-workspace.md): Delete a workspace and all associated data. Only the workspace owner can delete it.
- [Get workspace](https://docs.mavera.io/api-reference/workspaces/get-workspace.md): Get detailed information about a specific workspace.
- [Invite member](https://docs.mavera.io/api-reference/workspaces/invite-member.md): Invite a new member to the workspace. Only owners and managers can invite members.
- [List workspace members](https://docs.mavera.io/api-reference/workspaces/list-workspace-members.md): Get all members and pending invitations for a workspace.
- [List workspaces](https://docs.mavera.io/api-reference/workspaces/list-workspaces.md): Get all workspaces the authenticated user has access to, either as owner or member.
- [Remove member](https://docs.mavera.io/api-reference/workspaces/remove-member.md): Remove a member from the workspace. Owners and managers can remove members. Members can remove themselves.
- [Update member role](https://docs.mavera.io/api-reference/workspaces/update-member-role.md): Update a member's role in the workspace. Only owners and managers can update members.
- [Update workspace](https://docs.mavera.io/api-reference/workspaces/update-workspace.md): Update workspace settings. Only owners and managers can update workspaces.
- [Responses API](https://docs.mavera.io/changelog/responses-api.md): Mavera has migrated from Chat Completions to the OpenAI Responses API format
- [Credits and Budget Alerts](https://docs.mavera.io/cookbooks/credits-budget-alerts.md): Track credit usage in-app, estimate costs before calling, set budget alerts, and gracefully degrade when credits run low
- [Error Handling Patterns](https://docs.mavera.io/cookbooks/error-handling-patterns.md): Production-grade error handling for the Mavera API: retries, backoff, user-facing messages, and structured logging
- [Mavera Surfaces & Patterns](https://docs.mavera.io/cookbooks/mavera-surfaces.md): Reference for Chat, Focus Groups, Video Analysis, News Intelligence, Mave, structured outputs, and tool calling — choose the right surface for your use case
- [Migrate from Chat Completions to Responses API](https://docs.mavera.io/cookbooks/migrate-chat-to-responses.md): Step-by-step guide to migrate your Mavera integration from the Chat Completions API to the Responses API format
- [Migrate OpenAI to Mavera](https://docs.mavera.io/cookbooks/migrate-openai-to-mavera.md): Switch from OpenAI to Mavera with minimal code changes — base URL, persona_id, and SDK compatibility
- [Persona Selection by Use Case](https://docs.mavera.io/cookbooks/persona-selection.md): Choose the right Mavera persona for your audience, product, and research goal — with a practical matrix and code
- [Rate Limits in Production](https://docs.mavera.io/cookbooks/rate-limits-production.md): Proactive throttling, request queuing, concurrency control, and header-based rate limiting for high-volume Mavera integrations
- [Streaming Chat in React](https://docs.mavera.io/cookbooks/streaming-chat-react.md): Production-ready React component for Mavera chat streaming — SSE, state management, error handling, and UX polish
- [Brand Voice](https://docs.mavera.io/features/brand-voice.md): AI-powered brand voice profiles for consistent content
- [Content Generation](https://docs.mavera.io/features/content-generation.md): AI-powered content creation with templates
- [Files & Folders](https://docs.mavera.io/features/files.md): Upload, manage, and organize files and folders via the Mavera API
- [Focus Groups](https://docs.mavera.io/features/focus-groups.md): AI-powered synthetic focus group research
- [Mave Agent](https://docs.mavera.io/features/mave-agent.md): AI research agent with comprehensive multi-source analysis
- [Meetings](https://docs.mavera.io/features/meetings.md): Access meeting recordings, transcripts, AI analysis, and extract structured data with custom schemas
- [News Intelligence](https://docs.mavera.io/features/news-intelligence.md): AI-powered news monitoring and analysis
- [Personas](https://docs.mavera.io/features/personas.md): AI personas for targeted audience insights
- [Responses API](https://docs.mavera.io/features/responses.md): OpenAI Responses API with persona intelligence
- [Video Analysis](https://docs.mavera.io/features/video-analysis.md): AI-powered video and advertisement analysis
- [Workspaces & Projects](https://docs.mavera.io/features/workspaces.md): Organize your work with workspaces and projects, manage team members, and control budgets
- [Authentication](https://docs.mavera.io/guides/authentication.md): How to authenticate your API requests
- [Credits System](https://docs.mavera.io/guides/credits.md): Understanding how credits work and tracking usage
- [Error Handling](https://docs.mavera.io/guides/errors.md): Understanding and handling API errors
- [Function Calling](https://docs.mavera.io/guides/function-calling.md): Let Mavera call your code — define functions, the model decides when to use them, and you execute them locally
- [Practical Workflow Ideas](https://docs.mavera.io/guides/practical-workflow-ideas.md): 200+ workflows: content feedback loops, persona validation, and API integrations (Salesforce, HubSpot, Slack, Zendesk, etc.)
- [Rate Limits](https://docs.mavera.io/guides/rate-limits.md): Understanding and handling API rate limits
- [Streaming](https://docs.mavera.io/guides/streaming.md): Send tokens to users as they're generated instead of waiting for the full response
- [Structured Outputs](https://docs.mavera.io/guides/structured-outputs.md): Get guaranteed JSON responses that match your exact schema — with type-safe parsing via Pydantic and Zod
- [Domain Rating Comparison → Competitive Positioning](https://docs.mavera.io/integrations/ahrefs/domain-rating-positioning.md): Compare domain authority across competitors with Ahrefs and craft positioning messaging with Mavera
- [Ahrefs](https://docs.mavera.io/integrations/ahrefs/index.md): 4 production-ready jobs — top pages content replication, trending topic discovery, competitive domain positioning, and keyword-driven content at scale
- [Keyword Ideas → Generate at Scale](https://docs.mavera.io/integrations/ahrefs/keyword-generate-at-scale.md): Pull Ahrefs keyword suggestions, cluster by topic, and generate SEO content at scale with Mavera brand voice
- [Top Pages by Traffic → Content Replication](https://docs.mavera.io/integrations/ahrefs/top-pages-replication.md): Analyze top-performing Ahrefs pages and generate content briefs replicating successful patterns with Mavera
- [Content Explorer → Trending Topics](https://docs.mavera.io/integrations/ahrefs/trending-content-briefs.md): Discover trending content with Ahrefs Content Explorer and validate angles with Mavera Focus Groups
- [Earnings Calendar → Content Timing](https://docs.mavera.io/integrations/alpha-vantage/earnings-content-timing.md)
- [Economic Indicator → Focus Group](https://docs.mavera.io/integrations/alpha-vantage/economic-focus-group.md)
- [Alpha Vantage](https://docs.mavera.io/integrations/alpha-vantage/index.md): 4 production-ready jobs — market sentiment brand positioning, earnings calendar content timing, economic indicator focus groups with demographic personas, and sector performance vertical prioritization
- [Market Sentiment → Brand Positioning](https://docs.mavera.io/integrations/alpha-vantage/market-sentiment-positioning.md)
- [Sector Performance → Vertical Prioritization](https://docs.mavera.io/integrations/alpha-vantage/sector-vertical-prioritization.md)
- [Behavioral Cohort → Focus Group](https://docs.mavera.io/integrations/amplitude/behavioral-cohort-focus-group.md): Map Amplitude behavioral cohorts to Mavera personas and run Focus Groups to understand onboarding speed differences
- [Amplitude](https://docs.mavera.io/integrations/amplitude/index.md): 4 production-ready jobs — demographic persona calibration, user journey mapping, behavioral cohort focus groups, and revenue-driven pricing validation
- [User Activity Timeline → Journey Mapping](https://docs.mavera.io/integrations/amplitude/journey-mapping.md): Pull Amplitude user activity timelines for converting and non-converting users and map journey paths with Mave Agent
- [User Composition → Persona Calibration](https://docs.mavera.io/integrations/amplitude/persona-calibration.md): Pull Amplitude demographic composition data and calibrate Mavera personas to reflect your real user base
- [Revenue Analysis → Pricing Focus Group](https://docs.mavera.io/integrations/amplitude/pricing-focus-group.md): Pull Amplitude revenue metrics and ARPU by segment, then validate pricing changes with a Mavera Focus Group using Slider and NPS questions
- [Anthropic](https://docs.mavera.io/integrations/anthropic/index.md): 4 production-ready jobs — long document analysis for persona creation, transcript mega-analysis for quarterly intelligence, multi-source synthesis for brand voice extraction, and research report focus group question generation
- [Long Document Analysis → Persona Source](https://docs.mavera.io/integrations/anthropic/long-document-personas.md): Use Claude's 1M token context window to process entire annual reports, 10-K filings, or whitepapers in a single call — extract audience segments and decision-maker profiles, then create Mavera Custom Personas grounded in real market intelligence
- [Multi-Source Synthesis → Brand Voice](https://docs.mavera.io/integrations/anthropic/multi-source-brand-voice.md): Collect diverse writing samples from emails, blog posts, social media, and internal docs — Claude extracts vocabulary choices, sentence structures, tone markers, and rhetorical patterns to create an authentic Mavera Brand Voice profile
- [Research Report → Focus Group Questions](https://docs.mavera.io/integrations/anthropic/research-focus-group-questions.md): Extract key findings and controversial claims from industry research reports, auto-generate Focus Group questions that test whether target personas agree with the conclusions — turning static research into validated, audience-specific intelligence
- [Transcript Mega-Analysis](https://docs.mavera.io/integrations/anthropic/transcript-mega-analysis.md): Feed an entire quarter of meeting transcripts into Claude's long context window for cross-meeting pattern analysis — recurring objections, shifting priorities, competitor mentions, and sentiment trajectories, then enrich with Mavera
- [Brief → Generation Automation](https://docs.mavera.io/integrations/asana/brief-generation-automation.md)
- [Campaign Task Tracking → Content Status](https://docs.mavera.io/integrations/asana/campaign-task-tracking.md)
- [Asana](https://docs.mavera.io/integrations/asana/index.md): 3 production-ready jobs — campaign task tracking to content status reports, brief-to-generation automation, and sprint retro notes to messaging insights
- [Sprint Retro Notes → Messaging Insights](https://docs.mavera.io/integrations/asana/sprint-retro-messaging.md)
- [Customer Custom Attributes → Persona Source](https://docs.mavera.io/integrations/bigcommerce/customer-attribute-personas.md): Create Mavera personas from BigCommerce customer attribute segments for data-grounded content generation
- [BigCommerce](https://docs.mavera.io/integrations/bigcommerce/index.md): Integrate Mavera with BigCommerce — product review sentiment, customer attribute personas, and multi-channel content strategy
- [Multi-Channel Performance → Content Strategy](https://docs.mavera.io/integrations/bigcommerce/multi-channel-content.md): Generate channel-specific content strategies from BigCommerce multi-channel order performance data
- [Product Review Sentiment → Brand Health](https://docs.mavera.io/integrations/bigcommerce/review-sentiment-brand-health.md): Analyze BigCommerce product reviews with Mavera structured output for sentiment scores and brand health metrics
- [Call Recording Analysis](https://docs.mavera.io/integrations/close-crm/call-recording-analysis.md): Transcribe Close CRM call recordings and feed them into Mave Agent for structured meeting analysis — decisions, objections, next steps, and coaching insights
- [Email Sequence A/B Testing](https://docs.mavera.io/integrations/close-crm/email-ab-testing.md): Show top and worst-performing Close CRM cold emails to a Focus Group for qualitative A/B validation that explains the why behind engagement metrics
- [Close CRM](https://docs.mavera.io/integrations/close-crm/index.md): Integrate Mavera with Close CRM — email sequence A/B validation, call recording analysis, lead-to-persona automation, and smart view content generation
- [Lead-to-Persona Automation](https://docs.mavera.io/integrations/close-crm/lead-to-persona.md): Auto-create Mavera Custom Personas for each ICP segment based on Close CRM lead data — industry, company size, and title patterns
- [Smart View Content Generation](https://docs.mavera.io/integrations/close-crm/smart-view-content.md): Pull leads from Close CRM Smart Views and auto-generate personalized outreach content using Mavera's Generations API
- [Customer Attribute Personas](https://docs.mavera.io/integrations/customer-io/attribute-personas.md): Cluster Customer.io customer attributes by plan, industry, and usage tier to create Mavera Custom Personas for targeted content and focus groups
- [Campaign Event Analysis → Messaging Strategy](https://docs.mavera.io/integrations/customer-io/campaign-messaging-strategy.md): Pull Customer.io campaign metrics, identify winning message patterns, and generate new variations using Mave Agent and Mavera Generate
- [Customer.io](https://docs.mavera.io/integrations/customer-io/index.md): Integrate Mavera with Customer.io — campaign metric analysis, attribute-based personas, and webhook-driven research triggers
- [Webhook Event → Mave Research Trigger](https://docs.mavera.io/integrations/customer-io/webhook-mave-trigger.md): Listen for Customer.io reporting webhooks on churn signals and trigger Mave Agent retention research tailored to the customer's persona type
- [Audio Intelligence → Meeting Analysis](https://docs.mavera.io/integrations/deepgram/audio-intelligence-meetings.md): Use every audio intelligence feature Deepgram offers — sentiment, summarization, topic detection, entity detection, intent detection, and speaker diarization — for structured meeting intelligence via Mavera.
- [Customer Call Intelligence](https://docs.mavera.io/integrations/deepgram/customer-call-intelligence.md): Transcribe customer calls with diarization and per-utterance sentiment, mine customer language for pain points and product language, and build messaging playbooks via Mavera.
- [Deepgram](https://docs.mavera.io/integrations/deepgram/index.md): 5 production-ready jobs — audio intelligence meeting analysis, podcast content strategy, customer call messaging playbooks, live event streaming to real-time blog posts, and voice-of-customer brand voice extraction
- [Live Event Transcription → Real-Time Content](https://docs.mavera.io/integrations/deepgram/live-event-content.md): Use Deepgram's streaming transcription via WebSocket for live event coverage, batch transcript segments every 30 seconds, and send to Mavera Generate for live-blogging content.
- [Podcast Analysis Pipeline](https://docs.mavera.io/integrations/deepgram/podcast-analysis.md): Transcribe podcast episodes with topic detection and paragraph segmentation, then feed structured transcripts to Mavera for content strategy — topic heatmaps, resonance signals, and editorial calendars.
- [Voice of Customer → Brand Voice](https://docs.mavera.io/integrations/deepgram/voice-of-customer-brand-voice.md): Transcribe customer interviews and testimonial recordings, extract language patterns, and feed them into Mavera Brand Voice to create customer-authentic profiles.
- [Community Questions → FAQ Generation](https://docs.mavera.io/integrations/discord/community-faq-generation.md)
- [Community Sentiment Analysis](https://docs.mavera.io/integrations/discord/community-sentiment.md)
- [Feature Request Mining → Product Focus Group](https://docs.mavera.io/integrations/discord/feature-request-focus-group.md)
- [Discord](https://docs.mavera.io/integrations/discord/index.md): 4 production-ready jobs — community sentiment analysis, voice transcript persona language extraction, community FAQ generation, and feature request mining with product focus groups
- [Voice Transcript → Persona Language](https://docs.mavera.io/integrations/discord/voice-persona-language.md)
- [Ad Script → Production-Ready Audio](https://docs.mavera.io/integrations/elevenlabs/ad-script-audio-production.md)
- [Focus Group Results → Audio Report](https://docs.mavera.io/integrations/elevenlabs/focus-group-audio-report.md)
- [ElevenLabs](https://docs.mavera.io/integrations/elevenlabs/index.md): 5 production-ready jobs — persona voice cloning for branded audio, multilingual content localization via dubbing, focus group audio executive briefings, multi-voice speak session enhancement, and ad script to production-ready audio pipeline
- [Multilingual Content Localization](https://docs.mavera.io/integrations/elevenlabs/multilingual-localization.md)
- [Persona Voice Cloning → Branded Audio](https://docs.mavera.io/integrations/elevenlabs/persona-voice-cloning.md)
- [Speak Session Enhancement](https://docs.mavera.io/integrations/elevenlabs/speak-session-enhancement.md)
- [Competitor Review Mining](https://docs.mavera.io/integrations/g2/competitor-review-mining.md): Mine G2 competitor reviews for positioning opportunities using Mave Agent analysis
- [Feature Request Aggregation → Product Focus Group](https://docs.mavera.io/integrations/g2/feature-request-focus-group.md): Aggregate G2 feature requests, categorize with Mave, and run a Focus Group to prioritize for product roadmap
- [G2](https://docs.mavera.io/integrations/g2/index.md): Integrate Mavera with G2 — review sentiment personas, competitor review mining, brand voice refinement, social proof content, feature request focus groups, and market positioning tracking
- [Love/Hate → Brand Voice Refinement](https://docs.mavera.io/integrations/g2/love-hate-brand-voice.md): Extract love/hate phrases from G2 reviews to build a Mavera Brand Voice with preferred and avoid terms
- [Review Sentiment → Persona-Specific Messaging](https://docs.mavera.io/integrations/g2/review-persona-messaging.md): Pull G2 reviews segmented by reviewer role, create Mavera personas, and generate role-targeted marketing content
- [G2 Score Tracking → Market Positioning](https://docs.mavera.io/integrations/g2/score-tracking-positioning.md): Track G2 scores and competitor rankings to generate messaging adjustment recommendations with Mave Agent
- [Recommendation Quotes → Social Proof Content](https://docs.mavera.io/integrations/g2/social-proof-content.md): Extract G2 recommendation quotes and generate social proof marketing assets with Mavera
- [Audience Demographics → Persona Creation](https://docs.mavera.io/integrations/ga4/audience-demographics-personas.md): Pull GA4 demographic intersections (age, gender, country, device) with conversion metrics and create data-backed Mavera Custom Personas for your actual converting audience
- [Acquisition Channel × Persona Mapping](https://docs.mavera.io/integrations/ga4/channel-persona-mapping.md): Cross GA4 session source/medium with demographics to map each channel-audience intersection to a Mavera persona for channel-specific messaging
- [Conversion Path → Focus Group Validation](https://docs.mavera.io/integrations/ga4/conversion-focus-group.md): Pull GA4 funnel drop-off data and run a Mavera Focus Group to get qualitative persona feedback on why visitors abandon each step
- [Device Behavior → Creative Format Recommendations](https://docs.mavera.io/integrations/ga4/device-creative-recommendations.md): Pull GA4 device category, screen resolution, and engagement metrics to get Mave Agent recommendations on optimal ad formats, content layouts, and creative dimensions per device segment
- [Google Analytics (GA4)](https://docs.mavera.io/integrations/ga4/index.md): 7 production-ready jobs — demographic personas, interest-based content strategy, funnel focus groups, landing page refresh, real-time spike response, channel-persona mapping, and device-aware creative recommendations
- [Interest Category → Content Strategy](https://docs.mavera.io/integrations/ga4/interest-content-strategy.md): Pull GA4 interest category reports and use Mave Agent to research content opportunities that bridge your product with your audience's browsing interests
- [Landing Page Performance → Content Refresh](https://docs.mavera.io/integrations/ga4/landing-page-refresh.md): Pull underperforming high-traffic landing pages from GA4 and use Mavera Generate to rewrite copy for specific audience segments with brand voice
- [Real-Time Audience → Trending Response](https://docs.mavera.io/integrations/ga4/realtime-trending-response.md): Pull GA4 real-time active users by page and source, detect traffic spikes against your baseline, and use Mave Agent to diagnose the cause and recommend a response playbook
- [Ad Copy Performance × Persona Validation](https://docs.mavera.io/integrations/google-ads/ad-copy-persona-validation.md): Pull top-performing Google Ads copy and validate it through a Mavera Focus Group to learn which messages resonate with each persona.
- [Competitor Auction Insights → Battle Cards](https://docs.mavera.io/integrations/google-ads/auction-battle-cards.md): Pull auction insights from Google Ads to identify top competitors and generate AI-powered battle cards with Mave Agent.
- [Demographic Performance → Persona Refinement](https://docs.mavera.io/integrations/google-ads/demographic-persona-refinement.md): Pull gender and age conversion data from Google Ads to create data-backed Mavera personas calibrated to your real buyers.
- [Google Ads](https://docs.mavera.io/integrations/google-ads/index.md): 7 production-ready jobs — search term content strategy, ad copy persona validation, keyword-to-generate pipelines, demographic persona refinement, placement analysis, RSA testing, and auction battle cards
- [Keyword Research → Generate Pipeline](https://docs.mavera.io/integrations/google-ads/keyword-generate-pipeline.md): Discover keyword opportunities via Google Ads KeywordPlanIdeaService and feed them into Mavera Generate to produce SEO blog post drafts.
- [Display/YouTube Placement Analysis](https://docs.mavera.io/integrations/google-ads/placement-analysis.md): Analyze top Display and YouTube placements from Google Ads with Mave Agent to discover converting content themes and wasted spend.
- [Responsive Search Ad Variation Testing](https://docs.mavera.io/integrations/google-ads/rsa-variation-testing.md): Extract RSA asset performance from Google Ads and score headline/description combinations through a Mavera Focus Group by persona.
- [Search Term → Content Strategy](https://docs.mavera.io/integrations/google-ads/search-term-content-strategy.md): Pull top search terms from Google Ads and cluster them by intent with Mave Agent to build a data-driven content calendar.
- [Google Business Profile](https://docs.mavera.io/integrations/google-business/index.md): Integrate Mavera with Google Business Profile — multi-location review analysis, local persona creation, location content strategy, and response template generation
- [Review Themes → Local Content Strategy](https://docs.mavera.io/integrations/google-business/local-content-strategy.md): Extract review themes per location and generate location-specific marketing content with Mavera
- [Local Persona Creation](https://docs.mavera.io/integrations/google-business/local-personas.md): Create geo-specific Mavera personas from Google Business Profile review signals per location
- [Multi-Location Review Analysis](https://docs.mavera.io/integrations/google-business/multi-location-analysis.md): Pull reviews across all Google Business Profile locations and compare with Mave Agent for cross-location intelligence
- [Response Template Generation](https://docs.mavera.io/integrations/google-business/response-templates.md): Cluster review themes across locations and generate branded response templates for each theme
- [Candidate Pipeline → Employer Brand Personas](https://docs.mavera.io/integrations/greenhouse/candidate-brand-personas.md): Build Mavera personas from Greenhouse candidate segments (source × stage outcome) and run Focus Groups to validate employer messaging before publishing
- [Greenhouse](https://docs.mavera.io/integrations/greenhouse/index.md): Integrate Mavera with Greenhouse — candidate pipeline personas, job posting optimization, interview feedback analysis, and rejection reason brand perception
- [Interview Feedback → Hiring Persona](https://docs.mavera.io/integrations/greenhouse/interview-hiring-persona.md): Aggregate Greenhouse scorecards by hire outcome, send to Mave Agent, and get a data-driven success persona — trait profile that predicts strong hires
- [Job Posting Optimization](https://docs.mavera.io/integrations/greenhouse/job-posting-optimization.md): Run Focus Groups on Greenhouse job postings — Likert ratings for clarity, appeal, and authenticity plus open-ended feedback from synthetic candidate personas
- [Rejection Reason Analysis](https://docs.mavera.io/integrations/greenhouse/rejection-analysis.md): Group Greenhouse rejections by stage and reason, build personas, run Focus Group on brand perception — quantify the employer brand cost of your rejection process
- [Blog → Brand Voice](https://docs.mavera.io/integrations/hubspot/blog-brand-voice.md): Pull published blog posts from HubSpot CMS and create a Mavera Brand Voice profile for future content generation
- [Company Enrichment + Persona Creation](https://docs.mavera.io/integrations/hubspot/company-enrichment-personas.md): Pull target companies from HubSpot, enrich with Mave research, and create ABM buying committee personas
- [Contact Property → Focus Group Segmentation](https://docs.mavera.io/integrations/hubspot/contact-focus-group.md): Extract HubSpot contact segments by custom properties, create Mavera personas per segment, and run a Focus Group
- [Deal-Closed Content Replay](https://docs.mavera.io/integrations/hubspot/deal-closed-content-replay.md): Extract winning email copy from HubSpot Closed Won deals, distill a Brand Voice, and generate new variations
- [Engagement-Weighted Persona Refinement](https://docs.mavera.io/integrations/hubspot/engagement-weighted-personas.md): Pull HubSpot engagement data, score and tier contacts, then update Mavera personas so they evolve with your audience
- [Form Submission Analysis](https://docs.mavera.io/integrations/hubspot/form-submission-analysis.md): Batch-categorize HubSpot form free-text submissions by pain point, urgency, and use case with Mavera Chat
- [HubSpot](https://docs.mavera.io/integrations/hubspot/index.md): Integrate Mavera with HubSpot — lifecycle personas, deal replay, meeting analysis, form analysis, blog brand voice, and engagement-weighted refinement
- [Lifecycle Stage Persona Builder](https://docs.mavera.io/integrations/hubspot/lifecycle-persona-builder.md): Create Mavera personas from HubSpot lifecycle stages — subscriber, lead, MQL, SQL, customer, evangelist
- [Meeting Notes → Mave Research](https://docs.mavera.io/integrations/hubspot/meeting-notes-research.md): Aggregate HubSpot meeting notes and synthesize themes, objections, and competitive mentions with Mave
- [Integrations](https://docs.mavera.io/integrations/index.md): 50+ external APIs paired with Mavera — full pipelines with code for every job
- [Comment Analysis → Feature Messaging](https://docs.mavera.io/integrations/jira/comment-feature-messaging.md): Extract voice-of-the-customer language from Jira issue comments, build a Brand Voice, and generate feature messaging
- [Customer-Reported Issues → Persona Pain Points](https://docs.mavera.io/integrations/jira/customer-issue-personas.md): Pull customer-reported issues from Jira via JQL, analyze pain points with Mave Agent, and create pain-point personas
- [Epic Progress → Campaign Alignment](https://docs.mavera.io/integrations/jira/epic-campaign-alignment.md): Pull active epics from Jira, calculate child issue progress, and generate campaign strategy with Mave Agent
- [Jira](https://docs.mavera.io/integrations/jira/index.md): 4 production-ready jobs — customer-reported issue personas, sprint release content, epic-to-campaign alignment, and comment-driven feature messaging
- [Sprint Completion → Release Content](https://docs.mavera.io/integrations/jira/sprint-release-content.md): Pull completed sprint data from Jira, categorize resolved issues, and generate release notes plus changelog with Mavera
- [Flow Performance → Content Refresh](https://docs.mavera.io/integrations/klaviyo/flow-content-refresh.md): Pull Klaviyo flow metric aggregates to identify underperforming emails, then use Mavera Generate to rewrite content with your brand voice
- [Klaviyo](https://docs.mavera.io/integrations/klaviyo/index.md): 5 production-ready jobs — predictive persona enrichment, flow content refresh, segment overlap analysis, product affinity focus groups, and SMS vs. email creative testing
- [Predictive Analytics → Persona Enrichment](https://docs.mavera.io/integrations/klaviyo/predictive-persona-enrichment.md): Pull Klaviyo profiles with predictive CLV and churn risk, group by value tier, and create Mavera Custom Personas enriched with predictive data
- [Product Affinity → Focus Group](https://docs.mavera.io/integrations/klaviyo/product-affinity-focus-group.md): Pull Klaviyo catalog and purchase data, then run a Mavera Focus Group with Likert and NPS questions to validate cross-sell hypotheses before building flows
- [Segment Overlap Analysis](https://docs.mavera.io/integrations/klaviyo/segment-overlap-analysis.md): Pull all Klaviyo segments with member counts, identify overlaps, and use Mave Agent to recommend a simplified segmentation strategy
- [SMS vs. Email Creative Testing](https://docs.mavera.io/integrations/klaviyo/sms-vs-email-testing.md): Compare Klaviyo SMS and email campaign performance, then run a Mavera Focus Group to understand channel preferences and build a data-informed channel strategy
- [Pipeline Stage → Candidate Experience Focus Group](https://docs.mavera.io/integrations/lever/candidate-experience-focus-group.md): Use Lever opportunities by stage with Mavera personas and focus groups to get stage-by-stage candidate experience ratings
- [Lever](https://docs.mavera.io/integrations/lever/index.md): Integrate Mavera with Lever — pipeline stage candidate experience, source effectiveness for recruitment marketing, and offer acceptance analysis
- [Offer Acceptance Analysis](https://docs.mavera.io/integrations/lever/offer-acceptance-analysis.md): Use Lever accepted and declined offers with Mavera focus groups for acceptance factor analysis
- [Source Effectiveness → Recruitment Marketing](https://docs.mavera.io/integrations/lever/source-recruitment-marketing.md): Analyze Lever postings and source data with Mave and Generate for source-optimized recruitment content
- [Bug Report Sentiment → Product Focus Group](https://docs.mavera.io/integrations/linear/bug-report-focus-group.md): Pull customer-reported bugs from Linear and run synthetic focus groups to assess severity by persona segment
- [Cycle Velocity → Launch Planning](https://docs.mavera.io/integrations/linear/cycle-velocity-planning.md): Pull Linear cycle history and velocity data, then use Mave Agent to build a marketing launch timeline aligned with engineering capacity
- [Feature Release → Content Pipeline](https://docs.mavera.io/integrations/linear/feature-release-content.md): Query completed Linear issues and chain Mavera Generate calls for release notes, blog drafts, and social copy
- [Linear](https://docs.mavera.io/integrations/linear/index.md): 3 production-ready jobs — feature release content pipelines, bug report sentiment focus groups, and cycle velocity launch planning
- [Comment Analysis for Messaging](https://docs.mavera.io/integrations/linkedin-content/comment-analysis-messaging.md): Pull comments from high-engagement LinkedIn posts, analyze prospect language and objections via Mave, and build a messaging intelligence map
- [Employee Advocacy Content Generation](https://docs.mavera.io/integrations/linkedin-content/employee-advocacy.md): Pull company updates from LinkedIn, create a conversational Brand Voice, and generate employee-ready post variants for personal sharing
- [Company Page Analytics → Persona Refinement](https://docs.mavera.io/integrations/linkedin-content/follower-persona-refinement.md): Pull LinkedIn follower demographics, compare against existing Mavera personas, and create or update data-grounded persona profiles
- [LinkedIn Content](https://docs.mavera.io/integrations/linkedin-content/index.md): 4 production-ready jobs — follower demographics to persona refinement, post engagement to content strategy, comment analysis for messaging, and employee advocacy content generation
- [Post Engagement → Content Strategy](https://docs.mavera.io/integrations/linkedin-content/post-engagement-strategy.md): Analyze LinkedIn Company Page post engagement, identify winning patterns via Mave, and generate 10 new data-backed content concepts
- [LinkedIn Ad Copy Generation](https://docs.mavera.io/integrations/linkedin-marketing/ad-copy-generation.md): Pull existing LinkedIn ad copy and engagement metrics, distill a brand voice from top performers, and generate fresh ad copy variants with Mavera Generate.
- [Campaign Analytics → Content Brief](https://docs.mavera.io/integrations/linkedin-marketing/campaign-content-brief.md): Pull LinkedIn Campaign Manager analytics by industry, function, and seniority, then generate segment-specific content briefs with Mave Agent.
- [LinkedIn Marketing](https://docs.mavera.io/integrations/linkedin-marketing/index.md): 4 production-ready jobs — sponsored content focus groups, lead gen persona enrichment, campaign analytics briefs, and ad copy generation with brand voice
- [Lead Gen Form Response → Persona Enrichment](https://docs.mavera.io/integrations/linkedin-marketing/lead-gen-personas.md): Pull LinkedIn Lead Gen Form responses, aggregate by title/industry/company size, and create enriched Mavera personas from real lead data.
- [Sponsored Content → Focus Group Testing](https://docs.mavera.io/integrations/linkedin-marketing/sponsored-content-testing.md): Pull active LinkedIn Sponsored Content creatives and run them through a Mavera Focus Group with B2B personas for relevance scoring and feedback.
- [LinkedIn Talent Solutions](https://docs.mavera.io/integrations/linkedin-talent/index.md): Integrate Mavera with LinkedIn Talent Solutions — job distribution optimization and candidate data talent personas
- [Job Distribution → Performance-Optimized Descriptions](https://docs.mavera.io/integrations/linkedin-talent/job-description-optimization.md): Post jobs to LinkedIn, track performance, and use Mavera Focus Groups + Generate to iterate job descriptions for higher apply rates
- [Candidate Data → Talent Personas](https://docs.mavera.io/integrations/linkedin-talent/talent-pipeline-personas.md): Create data-grounded talent personas from LinkedIn RSC exports and test employer value propositions with Mavera Focus Groups
- [Email A/B Winner → Focus Group Why](https://docs.mavera.io/integrations/mailchimp/ab-focus-group.md): Pull Mailchimp A/B test results and run a Mavera Focus Group to understand the psychological drivers behind why one subject line outperformed another
- [Campaign Performance → Content Optimization](https://docs.mavera.io/integrations/mailchimp/campaign-content-optimization.md): Pull top-performing Mailchimp campaign data and extract winning content patterns into a Mavera Brand Voice trained on your actual email performance
- [Mailchimp](https://docs.mavera.io/integrations/mailchimp/index.md): 6 production-ready jobs — subscriber personas, campaign content optimization, A/B focus groups, interest-based content generation, re-engagement sequences, and open rate prediction
- [Audience Interest Tags → Content Generation](https://docs.mavera.io/integrations/mailchimp/interest-content-generation.md): Pull Mailchimp interest categories and subscriber counts to generate targeted email content per interest group using Mavera Generate with optional brand voice
- [Open Rate Prediction](https://docs.mavera.io/integrations/mailchimp/open-rate-prediction.md): Pull historical Mailchimp campaign data and run a Mavera Focus Group to predict which subject lines will perform best before you hit send
- [Re-Engagement Campaign Builder](https://docs.mavera.io/integrations/mailchimp/re-engagement-builder.md): Identify dormant Mailchimp subscribers by signup source and interest tags, then generate personalized multi-step re-engagement email sequences using Mavera Agent and Generate
- [Subscriber Segment → Persona Creation](https://docs.mavera.io/integrations/mailchimp/subscriber-persona-creation.md): Pull Mailchimp audience segments and member data to create segment-grounded Mavera Custom Personas from real subscriber demographics and engagement patterns
- [Ad Copy A/B with Focus Groups](https://docs.mavera.io/integrations/meta-ads/ad-copy-focus-group.md): Pull ad copy variants from Meta, run a Mavera Focus Group with target personas, and get pre-launch headline ratings and click intent signals
- [Ad Fatigue Detector](https://docs.mavera.io/integrations/meta-ads/ad-fatigue-detector.md): Detect ad fatigue by monitoring frequency and CTR trends per ad, then use Mave to research fresh creative angles before performance craters.
- [Audience Insight → Persona Mapping](https://docs.mavera.io/integrations/meta-ads/audience-persona-mapping.md): Pull demographic breakdowns from Meta Insights API, identify top audience segments, and map or create Mavera personas calibrated to your real paid audience
- [Campaign-to-Content Pipeline](https://docs.mavera.io/integrations/meta-ads/campaign-content-pipeline.md): Pull top-performing Meta ad campaigns by CTR, extract winning themes, create a Brand Voice, and generate long-form content that extends proven messaging across channels.
- [Ad Creative Comparison Matrix](https://docs.mavera.io/integrations/meta-ads/creative-comparison.md): Pull all active video creatives from Meta, run Video Analysis on each, and use Mave to produce a ranked comparison matrix with scale/kill recommendations
- [Cross-Platform Creative Optimization](https://docs.mavera.io/integrations/meta-ads/cross-platform-optimization.md): Analyze the same video creative across Facebook Feed, Instagram Stories, and Audience Network placements, then get placement-specific optimization recommendations.
- [Custom Audience → Focus Group Mirror](https://docs.mavera.io/integrations/meta-ads/custom-audience-mirror.md): Export Custom Audience definitions from Meta, create mirrored Mavera personas matching each targeting criteria, then run Focus Groups to pre-test creative without ad spend.
- [Meta Ads (Facebook / Instagram)](https://docs.mavera.io/integrations/meta-ads/index.md): Integrate Mavera with the Meta Marketing API — video ad analysis, creative comparison, audience persona mapping, ad copy focus groups, campaign content pipelines, fatigue detection, Reels analysis, and cross-platform optimization
- [Lookalike Audience Persona Expansion](https://docs.mavera.io/integrations/meta-ads/lookalike-persona-expansion.md): Analyze Lookalike seed audiences, identify adjacent demographic and psychographic segments, and create expansion personas for incremental reach testing.
- [Instagram Reels Analysis Pipeline](https://docs.mavera.io/integrations/meta-ads/reels-analysis.md): Pull Reels creatives from your ad account, run Video Analysis for hook effectiveness and emotional scoring, then run a Focus Group for qualitative feedback.
- [Ad Creative Video Analysis](https://docs.mavera.io/integrations/meta-ads/video-analysis.md): Pull video ad creatives from Meta, upload to Mavera Assets, and run Video Analysis for emotional, cognitive, and behavioral scoring
- [Cohort Analysis → Content Strategy](https://docs.mavera.io/integrations/mixpanel/cohort-content-strategy.md): Compare retained vs. churned user behaviors from Mixpanel and generate retention content strategies with Mave Agent
- [Event-Based Persona Enrichment](https://docs.mavera.io/integrations/mixpanel/event-persona-enrichment.md): Export raw Mixpanel events, classify power-user vs. casual usage patterns, and update Mavera personas with behavioral data
- [Feature Adoption → Messaging Priorities](https://docs.mavera.io/integrations/mixpanel/feature-adoption-campaigns.md): Pull feature usage metrics from Mixpanel, identify underused features, run awareness focus groups, and generate feature adoption campaigns
- [Funnel Drop-off → Focus Group Investigation](https://docs.mavera.io/integrations/mixpanel/funnel-focus-group.md): Pull Mixpanel funnel data, identify worst drop-off steps, and run a Mavera Focus Group to diagnose abandonment reasons per persona
- [Mixpanel](https://docs.mavera.io/integrations/mixpanel/index.md): 5 production-ready jobs — user profile clustering to personas, funnel drop-off focus groups, cohort content strategy, event-based persona enrichment, and feature adoption campaigns
- [User Profile Clustering → Personas](https://docs.mavera.io/integrations/mixpanel/user-clustering-personas.md): Query Mixpanel Engage API profiles, cluster by usage intensity, and create behavior-grounded Mavera Custom Personas
- [Breaking News → Rapid Content](https://docs.mavera.io/integrations/newsapi/breaking-news-content.md): Monitor top headlines, score alignment to your brand via Mave, and generate LinkedIn posts, tweet threads, and blog intros for high-alignment stories
- [Competitor News Monitoring](https://docs.mavera.io/integrations/newsapi/competitor-monitoring.md): Search for competitor mentions across news sources, aggregate by entity, and produce structured competitive intelligence via Mave
- [NewsAPI](https://docs.mavera.io/integrations/newsapi/index.md): 4 production-ready jobs — persona-analyzed industry digests, competitor news monitoring with Mave synthesis, breaking news rapid content generation, and batch news sentiment tracking
- [Industry News → Persona-Analyzed Digest](https://docs.mavera.io/integrations/newsapi/persona-analyzed-digest.md): Pull today's top headlines for your industry, then run each story through Mavera Speak sessions with distinct executive personas for multi-perspective analysis
- [News Sentiment Tracking](https://docs.mavera.io/integrations/newsapi/sentiment-tracking.md): Track media sentiment around your brand or topics week over week with batched analysis and trend arrows
- [Competitive Wiki → Battle Cards](https://docs.mavera.io/integrations/notion/competitive-wiki-battle-cards.md)
- [Content Calendar → Generate Pipeline](https://docs.mavera.io/integrations/notion/content-calendar-pipeline.md)
- [Notion](https://docs.mavera.io/integrations/notion/index.md): 5 production-ready jobs — content calendar generation pipelines, meeting notes analysis, PRD focus groups, knowledge base brand voice extraction, and competitive wiki battle cards
- [Knowledge Base → Brand Voice](https://docs.mavera.io/integrations/notion/knowledge-base-brand-voice.md)
- [Meeting Notes → Mave Analysis](https://docs.mavera.io/integrations/notion/meeting-notes-analysis.md)
- [Product Requirements → Focus Group](https://docs.mavera.io/integrations/notion/prd-focus-group.md)
- [Embeddings → Knowledge Base Gap Filling](https://docs.mavera.io/integrations/openai/embeddings-knowledge-base.md): Embed content with text-embedding-3-large, find gaps via cosine similarity, and generate gap-filling content with Mavera
- [OpenAI](https://docs.mavera.io/integrations/openai/index.md): 5 production-ready jobs — Whisper transcription to meeting analysis, GPT vision video pre-processing, TTS audio content library, embeddings knowledge base gap filling, and Sora video generation with quality assessment loops
- [Sora Video Generation → Analysis Loop](https://docs.mavera.io/integrations/openai/sora-analysis-loop.md): Generate video scripts with Mavera, create video with Sora, and iterate through Mavera quality assessment until thresholds are met
- [TTS → Audio Content Library](https://docs.mavera.io/integrations/openai/tts-audio-content.md): Convert Mavera-generated content to high-quality audio using OpenAI TTS — blog intros, radio ads, podcast intros, and product announcements
- [GPT Vision → Video Analysis Pre-Processing](https://docs.mavera.io/integrations/openai/vision-video-preprocessing.md): Extract keyframes from video, describe them with GPT-4.1 vision, and send aggregated descriptions to Mavera for marketing analysis
- [Whisper Transcription → Meetings Pipeline](https://docs.mavera.io/integrations/openai/whisper-meetings-pipeline.md): Transcribe meeting audio with Whisper and analyze transcripts with Mavera's Mave Agent to extract action items, decisions, themes, and follow-ups
- [AI Summary → News Digest with Personas](https://docs.mavera.io/integrations/perigon/ai-summary-persona-digest.md)
- [Entity-Based Competitive Intelligence](https://docs.mavera.io/integrations/perigon/entity-competitive-intelligence.md)
- [Geographic News → Market-Specific Messaging](https://docs.mavera.io/integrations/perigon/geographic-market-messaging.md)
- [Perigon](https://docs.mavera.io/integrations/perigon/index.md): 4 production-ready jobs — story clustering for content calendars, entity-based competitive intelligence, AI summary news digests with personas, and geographic news for market-specific messaging
- [Story Clustering → Content Calendar](https://docs.mavera.io/integrations/perigon/story-clustering-calendar.md)
- [Activity-Based Persona Scoring](https://docs.mavera.io/integrations/pipedrive/activity-persona-scoring.md): Map Pipedrive activity patterns (calls, emails, meetings) to buyer personas and discover how many touchpoints each type needs before a demo
- [Pipedrive](https://docs.mavera.io/integrations/pipedrive/index.md): Integrate Mavera with Pipedrive — pipeline voice analysis, activity-based persona scoring, lost deal focus groups, and org-level account research
- [Lost Deal Focus Group](https://docs.mavera.io/integrations/pipedrive/lost-deal-focus-group.md): Create persona archetypes from Pipedrive lost-deal patterns and run Focus Groups to surface qualitative reasoning behind each loss category
- [Org-Level Account Research](https://docs.mavera.io/integrations/pipedrive/org-account-research.md): Use Mave Agent to research Pipedrive organizations and write cited intelligence briefs back as pinned notes
- [Pipeline Stage Voice Analysis](https://docs.mavera.io/integrations/pipedrive/pipeline-stage-voice.md): Analyze deal notes by Pipedrive pipeline stage to find messaging patterns that correlate with wins — and coach reps on what to use or avoid
- [Brand Tracker Data → Competitive Analysis](https://docs.mavera.io/integrations/qualtrics/brand-tracker-analysis.md): Enrich Qualtrics brand tracking data with Mavera web search for competitive intelligence and market dynamics research
- [CX Survey → Product Focus Group](https://docs.mavera.io/integrations/qualtrics/cx-product-focus-group.md): Identify low-scoring Qualtrics CX touchpoints and diagnose issues with Mavera Focus Groups for improvement planning
- [Employee Experience → Internal Personas](https://docs.mavera.io/integrations/qualtrics/employee-internal-personas.md): Create internal personas from Qualtrics employee engagement data and test company communications with Mavera Focus Groups
- [Enterprise Survey → Persona Library](https://docs.mavera.io/integrations/qualtrics/enterprise-persona-library.md): Export Qualtrics enterprise survey responses and build a comprehensive Mavera persona library from thousands of real answers
- [Qualtrics](https://docs.mavera.io/integrations/qualtrics/index.md): Integrate Mavera with Qualtrics — enterprise survey persona libraries, brand tracker enrichment, employee experience personas, and CX focus groups
- [AMA-Style Persona Interviews](https://docs.mavera.io/integrations/reddit/ama-persona-interviews.md): Collect AMA questions from Reddit, curate via Mave, and run in-depth Speak interviews with synthetic personas
- [Competitor Sentiment Tracking](https://docs.mavera.io/integrations/reddit/competitor-sentiment.md): Search Reddit for competitor mentions across subreddits, enrich with comments, and produce structured sentiment breakdowns via Mave
- [Reddit](https://docs.mavera.io/integrations/reddit/index.md): 6 production-ready jobs — subreddit voice mining, product feedback focus groups, trend-to-content pipelines, AMA-style persona interviews, competitor sentiment tracking, and pain point discovery for messaging
- [Pain Point Discovery for Messaging](https://docs.mavera.io/integrations/reddit/pain-point-messaging.md): Search Reddit problem threads, extract and rank top 10 pain points via Mave, then generate targeted ad copy for each
- [Product Feedback Focus Group Mirror](https://docs.mavera.io/integrations/reddit/product-feedback-mirror.md): Search Reddit for product mentions, create subreddit-demographic personas, and run Focus Groups comparing synthetic vs real feedback
- [Subreddit Voice Mining](https://docs.mavera.io/integrations/reddit/subreddit-voice-mining.md): Pull hot posts and comments from a subreddit, concatenate into a corpus, and create a Mavera Brand Voice that captures community language
- [Trend-to-Content Pipeline](https://docs.mavera.io/integrations/reddit/trend-content-pipeline.md): Monitor rising subreddit posts, filter for brand alignment via Mave, and generate trend-aligned content briefs
- [Account Intelligence Brief](https://docs.mavera.io/integrations/salesforce/account-intelligence-brief.md): Pull Account fields, Contacts, and Tasks/Notes from Salesforce, send to Mave Agent, and get a cited research brief with competitive context and messaging recommendations
- [Competitive Displacement Tracker](https://docs.mavera.io/integrations/salesforce/competitive-displacement.md): Query competitor mentions from Opportunity custom fields, aggregate by competitor, and generate AI-powered competitive battle cards via Mave Agent
- [CRM-to-Persona Pipeline](https://docs.mavera.io/integrations/salesforce/crm-to-persona-pipeline.md): Pull contacts from Salesforce via SOQL, group by title and industry, then create Mavera personas grounded in your actual buyer base
- [Customer Success Interview Prep](https://docs.mavera.io/integrations/salesforce/cs-interview-prep.md): Pull Account health, open Cases, and recent Activities from Salesforce, send to Mave Agent, and get tailored QBR questions, risk flags, and expansion suggestions
- [Deal-Stage Focus Group](https://docs.mavera.io/integrations/salesforce/deal-stage-focus-group.md): Win/loss analysis via synthetic focus groups — query Opportunities by stage, extract Contact Roles, and run on-demand deal-stage analysis
- [Salesforce](https://docs.mavera.io/integrations/salesforce/index.md): 8 production-ready jobs — CRM-to-persona pipelines, deal-stage focus groups, account intelligence, brand voice extraction, lead scoring validation, pipeline content, competitive battle cards, and QBR prep
- [Lead Scoring Validation](https://docs.mavera.io/integrations/salesforce/lead-scoring-validation.md): Pull scored leads from each tier, create a persona per score bucket, then run a focus group to validate whether your scoring model aligns with buyer reality
- [Pipeline-Aware Content Generation](https://docs.mavera.io/integrations/salesforce/pipeline-content-generation.md): Pull your current pipeline by stage and industry, identify dominant segments, and generate stage-specific nurture content dynamically tied to your real pipeline
- [Sales Note → Brand Voice Extraction](https://docs.mavera.io/integrations/salesforce/sales-note-brand-voice.md): Query Notes from Closed Won opportunities, aggregate winning language, and feed it into Mavera's Brand Voice engine to create a 'Sales Winning Language' profile
- [Audience Segments → Focus Groups](https://docs.mavera.io/integrations/segment/audience-focus-groups.md): Map Segment behavioral audiences to Mavera personas and run Focus Groups where each persona represents a real behavioral cluster
- [Cross-Source Identity → Unified Persona](https://docs.mavera.io/integrations/segment/cross-source-unified-persona.md): Pull Segment's identity graph to create unified cross-channel personas that account for behavior differences across web, mobile, and email
- [Segment](https://docs.mavera.io/integrations/segment/index.md): 4 production-ready jobs — audience-to-focus-groups mapping, computed-trait persona creation, real-time event-driven triggers, and cross-source unified personas
- [Profile Traits → Custom Persona Source](https://docs.mavera.io/integrations/segment/profile-traits-personas.md): Pull Segment computed traits, cluster users by LTV and churn risk, and create Mavera Custom Personas enriched with CDP behavioral data
- [Event Stream → Real-Time Persona Triggers](https://docs.mavera.io/integrations/segment/realtime-persona-triggers.md): Configure Segment webhook destinations to automatically create Mavera personas or trigger research when user behavior changes in real time
- [Backlink Analysis → Outreach Content](https://docs.mavera.io/integrations/semrush/backlink-outreach-content.md): Categorize competitor backlinks from SEMrush and generate outreach email variants with Mavera brand voice
- [Competitor Content Audit](https://docs.mavera.io/integrations/semrush/competitor-content-audit.md): Audit competitor top pages from SEMrush and validate messaging differentiators with Mavera Focus Groups
- [SEMrush](https://docs.mavera.io/integrations/semrush/index.md): 5 production-ready jobs — keyword gap content generation, competitor content audit, keyword cluster focus groups, backlink outreach content, and position tracking executive reports
- [Keyword Clusters → Focus Group Validation](https://docs.mavera.io/integrations/semrush/keyword-focus-group-validation.md): Build topic clusters from SEMrush related keywords and validate content concepts with Mavera Focus Groups
- [Keyword Gap → Content Generation Pipeline](https://docs.mavera.io/integrations/semrush/keyword-gap-content.md): Find competitor keyword gaps with SEMrush and generate content briefs for each cluster with Mavera
- [Position Tracking → Performance Reports](https://docs.mavera.io/integrations/semrush/position-tracking-reports.md): Generate executive SEO narrative reports from SEMrush position tracking data with Mavera
- [Single Send A/B → Focus Group Extension](https://docs.mavera.io/integrations/sendgrid/ab-focus-group-extension.md): Extend SendGrid A/B test results with Mavera Focus Groups for qualitative insight into why variants win or lose
- [Contact Export → Bulk Persona Creation](https://docs.mavera.io/integrations/sendgrid/bulk-persona-creation.md): Export SendGrid marketing contacts and batch-create Mavera personas from subscriber segments at scale
- [Email Stats by Device/Geography → Persona Refinement](https://docs.mavera.io/integrations/sendgrid/device-geo-personas.md): Pull SendGrid device and geography breakdowns to refine Mavera personas with real engagement behavior patterns
- [SendGrid](https://docs.mavera.io/integrations/sendgrid/index.md): Integrate Mavera with SendGrid — device/geography persona refinement, A/B focus group extension, and bulk contact-to-persona pipelines
- [Abandoned Cart → Focus Group](https://docs.mavera.io/integrations/shopify/abandoned-cart-focus-group.md): Analyze Shopify abandoned checkouts with Mavera Focus Groups to surface abandonment reasons by segment
- [Product Collection → Content Generation](https://docs.mavera.io/integrations/shopify/collection-content-generation.md): Generate brand-consistent marketing copy for Shopify collections using Mavera brand voices and generation
- [Customer Cohort → Persona Pipeline](https://docs.mavera.io/integrations/shopify/customer-cohort-personas.md): Segment Shopify customers by purchase history into cohorts and create Mavera personas for each tier
- [Shopify](https://docs.mavera.io/integrations/shopify/index.md): 8 production-ready jobs — customer cohort personas, product review analysis, collection content generation, abandoned cart focus groups, seasonal campaign planning, product bundling validation, inventory-aware content prioritization, and customer metafield persona enrichment
- [Inventory-Aware Content Prioritization](https://docs.mavera.io/integrations/shopify/inventory-content-prioritization.md): Generate urgency-driven marketing copy for high-stock low-velocity Shopify products with Mavera
- [Customer Metafield → Persona Enrichment](https://docs.mavera.io/integrations/shopify/metafield-persona-enrichment.md): Enrich Mavera personas with real loyalty, preference, and NPS data from Shopify customer metafields
- [Product Bundling Validation](https://docs.mavera.io/integrations/shopify/product-bundling-validation.md): Identify co-purchased Shopify products and validate bundle concepts with Mavera Focus Groups
- [Product Review Analysis](https://docs.mavera.io/integrations/shopify/product-review-analysis.md): Analyze Shopify product reviews with Mavera for sentiment breakdown, recurring themes, and actionable recommendations
- [Seasonal Sales → Campaign Planning](https://docs.mavera.io/integrations/shopify/seasonal-campaign-planning.md): Use Shopify historical order data with Mavera to generate data-driven seasonal campaign calendars
- [Competitive Intelligence → Research Brief](https://docs.mavera.io/integrations/slack/competitive-intel-brief.md)
- [Slack](https://docs.mavera.io/integrations/slack/index.md): 5 production-ready jobs — sales channel mining for messaging playbooks, customer support persona pain points, product feedback focus groups, competitive intelligence research briefs, and win/loss brand voice extraction
- [Product Feedback → Focus Group](https://docs.mavera.io/integrations/slack/product-feedback-focus-group.md)
- [Sales Channel → Messaging Playbook](https://docs.mavera.io/integrations/slack/sales-channel-playbook.md)
- [Support Channel → Persona Pain Points](https://docs.mavera.io/integrations/slack/support-channel-pain-points.md)
- [Win/Loss Notes → Brand Voice](https://docs.mavera.io/integrations/slack/win-loss-brand-voice.md)
- [Invoice Data → Case Study Generation](https://docs.mavera.io/integrations/stripe/case-study-generation.md): Draft case study narratives from Stripe invoice growth trajectories using Mavera chat
- [Churn Prediction → Retention Content](https://docs.mavera.io/integrations/stripe/churn-retention-content.md): Generate personalized retention messaging from Stripe subscription churn and payment failure data
- [Dispute Analysis → Messaging Fix](https://docs.mavera.io/integrations/stripe/dispute-messaging-fix.md): Analyze Stripe disputes by reason code and generate revised product and checkout copy with Mavera
- [Stripe](https://docs.mavera.io/integrations/stripe/index.md): Connect Stripe payment and subscription data to Mavera for revenue-driven persona creation, retention content, and churn-aware messaging.
- [Payment Method Geography → Market Personas](https://docs.mavera.io/integrations/stripe/market-personas.md): Create regional market personas from Stripe charge geography and payment method data
- [Revenue Segment → Persona Tiering](https://docs.mavera.io/integrations/stripe/revenue-persona-tiering.md): Segment Stripe customers by MRR into enterprise, mid-market, and SMB tiers as Mavera personas
- [Bulk Response Analysis](https://docs.mavera.io/integrations/surveymonkey/bulk-response-analysis.md): Pull SurveyMonkey bulk responses and analyze with Mavera for statistical patterns, sentiment trends, and recommendations
- [Response Data → Generate Reports](https://docs.mavera.io/integrations/surveymonkey/generate-reports.md): Generate branded executive summary reports from SurveyMonkey response data using Mavera Generate with brand voice
- [SurveyMonkey](https://docs.mavera.io/integrations/surveymonkey/index.md): Integrate Mavera with SurveyMonkey — bulk response analysis, survey design optimization via focus groups, and automated report generation
- [Survey Design Optimization](https://docs.mavera.io/integrations/surveymonkey/survey-design-optimization.md): Test SurveyMonkey survey clarity with Mavera Focus Groups before deployment to identify bias, confusion, and fatigue points
- [Ad Video Analysis Pipeline](https://docs.mavera.io/integrations/tiktok/ad-video-analysis.md): Pull TikTok video ad URLs, upload to Mavera, and run Video Analysis to extract hook scoring, emotional arc, and cognitive load diagnostics.
- [Cross-Creative Performance Leaderboard](https://docs.mavera.io/integrations/tiktok/creative-leaderboard.md): Cross-reference Mavera behavioral scores against TikTok performance metrics to build a predictive creative leaderboard.
- [Audience Demographic → Gen Z Focus Group](https://docs.mavera.io/integrations/tiktok/gen-z-focus-group.md): Pull TikTok audience demographics, map age brackets to generational personas, and run Focus Group testing on ad concepts.
- [TikTok](https://docs.mavera.io/integrations/tiktok/index.md): 5 production-ready jobs — video analysis, creative leaderboard, Gen Z focus groups, trend content pipelines, and sound impact analysis
- [Sound/Music Impact Analysis](https://docs.mavera.io/integrations/tiktok/sound-music-analysis.md): Compare the same visual with different audio tracks to measure which audio treatment maximizes emotional response on TikTok.
- [TikTok Trend → Content Pipeline](https://docs.mavera.io/integrations/tiktok/trend-content-pipeline.md): Discover trending TikTok hashtags, check brand alignment via Mave, and generate ready-to-film TikTok-native scripts.
- [Competitor TrustScore Comparison](https://docs.mavera.io/integrations/trustpilot/competitor-comparison.md): Compare TrustScores across competitor domains and generate competitive positioning analysis with Mave Agent
- [Trustpilot](https://docs.mavera.io/integrations/trustpilot/index.md): Integrate Mavera with Trustpilot — brand voice from reviews, TrustScore monitoring, star-based persona segmentation, competitor comparison, and review response generation
- [Review Text → Brand Voice](https://docs.mavera.io/integrations/trustpilot/review-brand-voice.md): Build a Mavera Brand Voice profile from positive Trustpilot review language
- [Review Response Generation](https://docs.mavera.io/integrations/trustpilot/review-response-generation.md): Generate personalized, brand-voiced responses to negative Trustpilot reviews using Mavera
- [Star Distribution → Persona Segmentation](https://docs.mavera.io/integrations/trustpilot/star-persona-segmentation.md): Segment Trustpilot reviews by star tier, create personas per tier, and run a Focus Group to find what moves users to 5 stars
- [TrustScore Monitoring → Reputation Response](https://docs.mavera.io/integrations/trustpilot/trustscore-reputation-response.md): Detect TrustScore drops, analyze root causes with Mave Agent, and generate response templates
- [Call Recording → Meeting Analysis](https://docs.mavera.io/integrations/twilio/call-recording-meeting-analysis.md)
- [Twilio](https://docs.mavera.io/integrations/twilio/index.md): 3 production-ready jobs — SMS conversation analysis with Mave, call recording transcription to meeting-style analysis, and WhatsApp business message persona insights
- [SMS Conversation Analysis](https://docs.mavera.io/integrations/twilio/sms-conversation-analysis.md)
- [WhatsApp Messages → Persona Insights](https://docs.mavera.io/integrations/twilio/whatsapp-persona-insights.md)
- [Typeform](https://docs.mavera.io/integrations/typeform/index.md): Integrate Mavera with Typeform — survey-to-persona discovery, open-ended theme analysis, NPS-tiered messaging, and real vs synthetic calibration
- [Typeform × Mavera A/B Research](https://docs.mavera.io/integrations/typeform/mavera-calibration.md): Compare real Typeform survey responses with Mavera synthetic persona responses for calibration and accuracy measurement
- [NPS Response → Brand Voice Impact](https://docs.mavera.io/integrations/typeform/nps-brand-voice.md): Segment Typeform NPS respondents by tier and test messaging with Mavera Focus Groups for tier-specific communications
- [Open-Ended Response → Focus Group Questions](https://docs.mavera.io/integrations/typeform/open-ended-focus-group.md): Extract themes from Typeform open-ended answers and run Mavera Focus Groups for qualitative depth on each theme
- [Survey Response → Persona Discovery](https://docs.mavera.io/integrations/typeform/survey-persona-discovery.md): Pull Typeform survey responses and discover audience segments with Mavera to build a data-grounded persona library
- [Caption-Based Content Extraction](https://docs.mavera.io/integrations/vimeo/caption-content-extraction.md): Pull Vimeo transcripts and repurpose them into blog posts, social media, and email copy using Mavera Chat and Generate
- [Video Engagement × Mavera Scoring Correlation](https://docs.mavera.io/integrations/vimeo/engagement-scoring-correlation.md): Discover which Mavera creative metric best predicts real Vimeo engagement — plays, finish rate, likes, and comments
- [Vimeo](https://docs.mavera.io/integrations/vimeo/index.md): 5 production-ready jobs — marketing video library analysis, pre-publish creative testing, engagement × Mavera scoring correlation, caption-based content extraction, and webinar series intelligence
- [Pre-Publish Creative Testing](https://docs.mavera.io/integrations/vimeo/pre-publish-testing.md): Gate video publishing with Mavera quality thresholds and synthetic focus group feedback before going public on Vimeo
- [Marketing Video Library Analysis](https://docs.mavera.io/integrations/vimeo/video-library-analysis.md): Score your entire Vimeo video catalog by emotional impact, message clarity, and behavioral effectiveness using Mavera Video Analysis
- [Webinar Series Intelligence](https://docs.mavera.io/integrations/vimeo/webinar-intelligence.md): Diagnose engagement shifts across a Vimeo webinar series — where audience interest peaks, drops, and recovers
- [CTA Performance × Focus Group](https://docs.mavera.io/integrations/wistia/cta-focus-group.md): Pull Wistia CTA click-through data and test messaging and placement variations with Mavera Focus Groups for optimized calls-to-action
- [Heatmap-Informed Creative Optimization](https://docs.mavera.io/integrations/wistia/heatmap-optimization.md): Diagnose video drop-off points using Wistia per-second engagement data and generate timestamp-specific creative revision plans with Mave Chat
- [Wistia](https://docs.mavera.io/integrations/wistia/index.md): 5 production-ready jobs — viewer-level persona mapping, heatmap-informed creative optimization, CTA performance focus groups, video transcript brand voice creation, and lead-qualified viewer follow-up
- [Lead-Qualified Viewer → Personalized Follow-up](https://docs.mavera.io/integrations/wistia/lead-qualified-followup.md): Identify high-intent Wistia viewers who watched 80%+ of your videos and generate personalized follow-up emails using Mavera Generate
- [Wistia Embeds → Brand Voice Source](https://docs.mavera.io/integrations/wistia/spoken-brand-voice.md): Extract transcripts from your entire Wistia video library and create a spoken-content brand voice profile using Mavera Brand Voice
- [Viewer-Level Persona Mapping](https://docs.mavera.io/integrations/wistia/viewer-persona-mapping.md): Map Wistia viewers to psychographic personas by clustering visitor-level engagement data and enriching each segment with Mavera Personas and Chat
- [Blog Content → Brand Voice Extraction](https://docs.mavera.io/integrations/wordpress/blog-brand-voice.md): Pull published WordPress posts, strip HTML, and create a Mavera brand voice profile capturing your blog's tone and editorial style
- [Category Gap Analysis](https://docs.mavera.io/integrations/wordpress/category-gap-analysis.md): Identify WordPress categories with sparse content, create reader personas, and run a focus group to validate which content gaps matter most
- [Content Audit → Refresh Pipeline](https://docs.mavera.io/integrations/wordpress/content-audit-refresh.md): Flag stale WordPress posts older than 12 months, generate a prioritized refresh plan with Mavera, and produce updated outlines
- [WordPress](https://docs.mavera.io/integrations/wordpress/index.md): 5 production-ready jobs — blog content brand voice extraction, content audit refresh pipeline, category gap analysis with focus groups, Mavera-to-WordPress publish pipeline, and page performance focus group analysis
- [Page Performance → Focus Group](https://docs.mavera.io/integrations/wordpress/page-focus-group.md): Segment WordPress posts by engagement proxies, create reader personas for high and low performers, and run a focus group to understand content resonance
- [WordPress → Mavera Publish Pipeline](https://docs.mavera.io/integrations/wordpress/publish-pipeline.md): Generate a brand-voice-consistent article with Mavera using an existing brand voice and persona, then publish it directly back to WordPress as a draft
- [Brand Mention Sentiment Pipeline](https://docs.mavera.io/integrations/x-twitter/brand-mention-sentiment.md): Search recent brand mentions on X, classify sentiment by topic via Mavera Chat, and surface emerging issues and high-impact mentions
- [Competitor Tweet Analysis](https://docs.mavera.io/integrations/x-twitter/competitor-tweet-analysis.md): Pull competitor tweets from X, analyze posting strategy and content mix via Mave, and identify exploitable gaps
- [X / Twitter](https://docs.mavera.io/integrations/x-twitter/index.md): 5 production-ready jobs — brand mention sentiment pipelines, trending topic content sprints, competitor tweet analysis, reply mining for persona development, and thread-to-blog-post generation
- [Reply Mining for Persona Development](https://docs.mavera.io/integrations/x-twitter/reply-mining-personas.md): Collect reply and quote-tweet patterns around your brand on X, analyze behavioral archetypes, and create data-grounded Mavera personas
- [Thread → Blog Post Generation](https://docs.mavera.io/integrations/x-twitter/thread-to-blog.md): Pull an X thread's tweet chain, create a Brand Voice from the thread, and generate a polished long-form blog post
- [Trending Topic → Content Sprint](https://docs.mavera.io/integrations/x-twitter/trending-content-sprint.md): Pull X trending topics, filter for brand relevance via Mave, and generate multi-format content within the trend window
- [Category Trend Analysis](https://docs.mavera.io/integrations/yelp/category-trend-analysis.md): Analyze trending Yelp categories in a local market to identify consumer trends and investment opportunities
- [Yelp](https://docs.mavera.io/integrations/yelp/index.md): Integrate Mavera with Yelp — business discovery for market research, review excerpt sentiment, category trend analysis, and competitive focus group stimulus
- [Local Business → Focus Group Stimulus](https://docs.mavera.io/integrations/yelp/local-focus-group.md): Use Yelp competitor profiles as stimulus for a Mavera Focus Group with local consumer personas
- [Business Discovery → Market Research](https://docs.mavera.io/integrations/yelp/market-research.md): Map the local competitive landscape using Yelp business search and Mave Agent analysis
- [Review Excerpt Sentiment](https://docs.mavera.io/integrations/yelp/review-sentiment.md): Quick sentiment classification of Yelp review excerpts using Mavera Chat
- [Comment Sentiment → Persona Validation](https://docs.mavera.io/integrations/youtube/comment-persona-validation.md): Pull YouTube comments, analyze with a research persona, and validate audience segments against real comment sentiment
- [Competitor Ad Analysis Showdown](https://docs.mavera.io/integrations/youtube/competitor-ad-showdown.md): Search competitor YouTube ads, run Video Analysis on each, and produce a ranked competitive creative intelligence report
- [YouTube](https://docs.mavera.io/integrations/youtube/index.md): 8 production-ready jobs — competitor ad showdowns, comment persona validation, trending gap analysis, pre-roll testing, influencer analysis, Shorts vs long-form, playlist strategy, and thumbnail focus groups
- [Influencer Content Analysis](https://docs.mavera.io/integrations/youtube/influencer-analysis.md): Evaluate influencer partners by analyzing their YouTube content for brand alignment, creative quality, and brand safety
- [Playlist-Based Content Strategy](https://docs.mavera.io/integrations/youtube/playlist-content-strategy.md): Reverse-engineer competitor YouTube playlist structures to identify content themes, sequencing strategies, and exploitable gaps
- [YouTube Pre-Roll Ad Testing](https://docs.mavera.io/integrations/youtube/pre-roll-testing.md): Upload pre-roll ad candidates, analyze opening 5 seconds with Video Analysis, then run Focus Groups for skip-or-watch predictions
- [YouTube Shorts vs. Long-Form Performance](https://docs.mavera.io/integrations/youtube/shorts-vs-longform.md): Compare Shorts and long-form video performance using YouTube analytics and Mavera Video Analysis for format strategy recommendations
- [Video Thumbnail A/B with Focus Groups](https://docs.mavera.io/integrations/youtube/thumbnail-focus-group.md): Pull YouTube thumbnails, run Focus Groups with viewer personas, and get click-prediction scores with specific visual feedback
- [Trending Content Gap Analysis](https://docs.mavera.io/integrations/youtube/trending-content-gap.md): Pull YouTube trending videos, identify content themes missing from your channel, and generate specific video concepts to fill the gaps
- [Introduction](https://docs.mavera.io/introduction.md): AI-powered marketing intelligence and customer research API
- [A/B Copy Production](https://docs.mavera.io/playbooks/ab-copy-production.md): Use Generate twice with the same brief but different brand voices or personas to produce ready-to-test A/B creative variants — no manual rewriting needed
- [Ad Creative Audit](https://docs.mavera.io/playbooks/ad-creative-audit.md): Upload a quarter's worth of video ads, score each with Video Analysis, then synthesize a ranked audit report with Mave
- [Annual Planning Kickoff](https://docs.mavera.io/playbooks/annual-planning-kickoff.md): Chain personas, Focus Groups, Generate, Mave, and Speak into a complete annual marketing plan — the capstone Mavera playbook
- [Brand Perception Audit](https://docs.mavera.io/playbooks/brand-perception-audit.md): Run NPS and open-ended Focus Groups across customer, prospect, and churned-user personas for a 360-degree brand perception report
- [Brand Voice → Full Content Library](https://docs.mavera.io/playbooks/brand-voice-content-library.md): Create a brand voice from your website, then systematically run every Generate app with the same voice to produce a complete, on-brand content library in one sitting
- [Competitor Reel](https://docs.mavera.io/playbooks/competitor-reel.md): Download publicly available competitor ads, upload to Mavera, run Video Analysis on each, and chat with Mave to extract competitive creative intelligence
- [Content Localization via Personas](https://docs.mavera.io/playbooks/content-localization.md): Generate the same content piece with different regional personas applied — each persona's cultural context influences tone, idioms, and messaging for culturally-adapted content variants
- [Content Repurposing Pipeline](https://docs.mavera.io/playbooks/content-repurposing-pipeline.md): Generate a long-form blog post, then use different generation apps to create a LinkedIn ad, Twitter thread, email nurture, product page, and social captions — 5+ content pieces from 1 generation
- [Content Series Generation](https://docs.mavera.io/playbooks/content-series-generation.md): Use Generate for part 1 of a blog series, then feed the output back as context for part 2, and repeat — producing a multi-part content series with consistent voice and narrative thread
- [Generational Content Testing](https://docs.mavera.io/playbooks/generational-content-testing.md): Test campaign concepts against Gen Z, Millennial, Gen X, and Boomer personas — same questions, generation-specific insights
- [Hook Analysis Sprint](https://docs.mavera.io/playbooks/hook-analysis-sprint.md): Upload 10 video variants with different hooks, analyze the first 3 seconds with short chunk duration, and compare emotional intensity and cognitive load scores for data-driven hook optimization
- [Playbooks](https://docs.mavera.io/playbooks/index.md): 20 Mavera-only workflows — persona research, content production, video intelligence, and strategic research with no external API required
- [Industry Panel Simulation](https://docs.mavera.io/playbooks/industry-panel-simulation.md): Create 10 buying-committee personas, run a single Focus Group, and get complete committee feedback without scheduling a meeting
- [Market Entry Research](https://docs.mavera.io/playbooks/market-entry-research.md): Use Mave Agent to research competitive landscapes, regulatory environments, buyer personas, and go-to-market strategies for a new market
- [Message Testing Matrix](https://docs.mavera.io/playbooks/message-testing-matrix.md): Test 5 message variants × 5 personas = 25 Focus Group combinations to find optimal message-persona fit
- [News-Triggered Research](https://docs.mavera.io/playbooks/news-triggered-research.md): Monitor industry news with Mavera News, then auto-trigger Mave Agent research when significant events break
- [Persona Debate](https://docs.mavera.io/playbooks/persona-debate.md): Create opposing personas — Budget-Conscious Buyer vs Premium Buyer — and run a Focus Group where both evaluate the same product at different price points
- [Persona Interview Marathon](https://docs.mavera.io/playbooks/persona-interview-marathon.md): Use Speak to have voice conversations with 5 different personas about your positioning — rapid persona interviewing without recruitment or scheduling
- [Positioning Workshop](https://docs.mavera.io/playbooks/positioning-workshop.md): Create 5 ICP personas, test 3 positioning statements with Ranking and Semantic Differential questions, and validate positioning with persona-weighted scoring
- [Pricing Research](https://docs.mavera.io/playbooks/pricing-research.md): Run Van Westendorp-style price sensitivity analysis with persona segments using Focus Group Slider questions
- [Video + Focus Group Double Analysis](https://docs.mavera.io/playbooks/video-focus-group-double.md): Run Video Analysis on a creative, then feed the AI scores as stimulus into a Focus Group for layered analysis combining frame-level metrics with synthetic audience interpretation
- [Quickstart](https://docs.mavera.io/quickstart.md): Get started with the Mavera API in under 5 minutes
- [Quickstart: Responses API](https://docs.mavera.io/quickstart-chat.md): Get your first persona-powered response in under 5 minutes with Python, JavaScript, or cURL
- [Quickstart: Focus Groups](https://docs.mavera.io/quickstart-focus-groups.md): Create and run your first AI-powered synthetic focus group with personas and multiple question types in under 15 minutes
- [Quickstart: Mave Agent](https://docs.mavera.io/quickstart-mave.md): Run your first Mave research query with sources, threads, and follow-up questions in under 10 minutes
- [Quickstart: Video Analysis](https://docs.mavera.io/quickstart-video.md): Upload a video, run AI-powered analysis for emotional and engagement metrics, and chat about results in under 20 minutes
- [Go SDK](https://docs.mavera.io/sdks/go.md): Using the go-openai library with Mavera
- [JavaScript/TypeScript SDK](https://docs.mavera.io/sdks/javascript.md): Using the OpenAI Node.js SDK with Mavera
- [SDKs Overview](https://docs.mavera.io/sdks/overview.md): Use any OpenAI-compatible SDK with Mavera
- [Python SDK](https://docs.mavera.io/sdks/python.md): Using the OpenAI Python SDK with Mavera

## OpenAPI Specs

- [openapi](https://docs.mavera.io/openapi.json)

## Optional

- [API Status](https://status.mavera.io)
- [Support](mailto:support@mavera.io)