Product teams have plenty of information. Bagel already centralizes customer evidence from calls, tickets, CRM fields and feedback. The real challenge is converting all that evidence into a decision that feels clear, defensible and ready for action. Deep research still takes time, and many decisions slow down because interpreting the signals requires more effort than the call itself.
Ask Bagel AI was created to shorten that gap.
This new AI chat experience gives product teams a simple way to explore their own data using natural language. You ask questions in plain English and Bagel responds with the customer signals, accounts and revenue context connected to a Product Idea. The result is fast understanding, fast justification and much less friction in the decision process.
Why we built Ask Bagel AI
AI chats like ChatGPT and Perplexity changed how people look for information. Product teams need something similar, but tuned to their own customer evidence and product context rather than the open internet.
Ask Bagel AI gives teams a way to run deep product research through conversation.
When you ask a question, Bagel uses your real customer data to show the supporting signals and business impact behind a Product Idea. This shortens the time between a question and a strong, grounded decision.
The workflow becomes lighter.
The research becomes faster.
And the path to a confident answer becomes much shorter.
How Ask Bagel AI works
Ask Bagel AI behaves like the AI chats people already use, with one important difference: it works directly on top of your company’s customer evidence and Product Ideas.
Examples of questions it handles:
• “Who’s asking for this feature?”
• “What patterns are showing up across customers?”
• “How much ARR is connected to this?”
• “Which accounts care most about this idea?”
• “Show the strongest evidence for this problem.”
Bagel responds using your actual customer data.
Feedback, call notes, CRM context, revenue signals and product insights are already connected in Bagel, and Ask Bagel AI brings them together in the moment you request them.
You can push further through follow-up questions, stay in the same thread and continue exploring without starting the research again.
The experience is a chat.
The value is fast understanding.
See Bagel AI in Action
See how Bagel AI brings real-time product intelligence and impact to every product decision.
Why product teams will use it daily
Deep research with minimum effort
You get the signals, accounts and business impact tied to a Product Idea in seconds.
Decision support without extra steps
Product calls become easier to justify because the evidence and reasoning are already organized.
Impact clarity when it matters
Revenue, pipeline and retention context appear automatically, which helps keep decisions anchored to business value.
Momentum that doesn’t drop
Follow-up questions keep the research flowing without switching tools or repeating searches.
How Ask Bagel AI improves day-to-day work
Product work often involves repeating the same research:
checking who cares, confirming patterns, revisiting impact and validating whether an idea deserves attention.
Ask Bagel AI removes most of that repetition.
Conversations with customers become sharper.
Roadmap discussions become clearer.
Internal alignment becomes easier.
Decisions move forward with confidence because they’re grounded in real evidence, organized and delivered in seconds.
No. It runs on your company’s product and customer data.
Questions about customers, problems, accounts, themes, evidence and revenue impact.
Responses rely on your company data and evidence.
No configuration is needed.
Yes. Threads keep context, so you can go deeper without restarting.
Reports are still useful for broad views, and Ask Bagel AI removes most of the ad hoc research that slows decisions down.
