Inkeep analyzes real user interactions — not surveys with low response rates. The AI for product teams mines conversations from support chats, in-app questions, and docs searches to surface the feature gaps and friction points that matter most. Most teams find their first high-impact opportunity within the first month as the in-app AI assistant gathers enough user interactions to identify clear patterns.
AI Agents for Product Teams
Create AI assistants that help users get stuff done.
Inkeep Agents know everything about your product, suggest actions, and perform tasks directly on your product.
Trusted by leading teams
Reduce time to 'wow'.
Give your users an onboarding buddy specific to their needs.
Help users at any touchpoint
Add an AI assistant in your docs, product, or support channel.
Powered by your knowledge
Create Agents that are rooted in your docs, KB, and other content.
Spot the friction points
Get reports on exactly where users are getting stuck.
Agents that get work done
Suggest and perform actions on your product
Escalate to human help when needed
Report key knowledge and feature gaps
... and so much more
Your team of AI Agents
Customer assistant
Powered by a unified knowledge base of all your content.
In-app product copilot
Can take actions with APIs, MCP servers, or in-product UI changes.
User researcher
Create reports on knowledge and feature gaps from user questions.
Customize yours
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How it works
1
Connect your content
Ingest your docs, knowledge base, marketing site and any customer-facing content.
2
Create your Agents
Create agents visually with our No-Code Visual Builder or in-code with the Developer SDK.
3
Add your tools
Integrate your apps, APIs, and systems so agents can suggest and perform actions.
4
Monitor & improve
Leverage Gap Reports to prioritize your product and content roadmap.
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Frequently Asked Questions
Typically within 24 hours. Once connected, Inkeep's AI for product teams immediately begins analyzing user conversations, pinpointing documentation gaps, and highlighting feature requests. The in-app AI assistant starts collecting interaction data from day one, and insights compound over time as more users engage.
An in-app AI assistant embedded directly in your product helps users at the moment they get stuck — answering questions about workflows, suggesting actions, and even performing tasks via your APIs. This resolves issues before they become support tickets. For product teams, every interaction also becomes a data point that feeds into gap reports showing exactly where users struggle most.
Yes. Inkeep easily integrates into your existing analytics and business intelligence tools, allowing seamless incorporation into your current workflow. You can export all conversation-level insights, user feedback, and identified gaps for deeper analysis and cross-team collaboration.
Product, documentation, and marketing teams all rely on Inkeep Insights. Product teams use AI for product decisions — identifying top-requested features and integration gaps from real user conversations. Documentation teams prioritize updates based on actual user needs. Marketing teams uncover trending topics for blog posts, landing pages, and competitive positioning. The same user data powers all three workflows.
