What Bear is
Bear is analytics for AI-driven discovery rather than a detection tool. It identifies the prompts and questions that cause an assistant to recommend your product, analyses where those answers get their citations, and tries to connect AI visibility with the traffic and conversions arriving on your site.
What you can do with it
- See which prompts surface your product
- Compare citation sources between you and competitors
- Watch AI-driven exposure over time
- Connect visibility to actual conversions
- Identify content gaps worth filling
Who it is for
- SaaS and e-commerce teams
- Content and growth marketers
- Companies seeing traffic from AI assistants
What to watch out for
- Attribution from AI answers is imperfect: assistants often omit citations, so referral links may never appear
- Visibility samples are not stable rankings, and personalisation changes results between users
- Ask how the service collects answers and whether that conflicts with assistant terms
- Optimising for machine citations can encourage thin content written only to be scraped
Pros & cons
✓ What we like
- Links AI visibility to business outcomes
- Prompt-level detail is actionable
- Covers several major assistants
! What to watch out for
- Attribution is imperfect
- Samples vary with personalisation
- Collection method worth questioning
FAQ
Does it detect AI text?
No. It tracks how AI assistants recommend products and links that to traffic.
How accurate is attribution?
Only partial, since assistants frequently answer without citing sources.
What should I check?
How answers are collected and whether that respects assistant terms.
Last reviewed: 2026-09-19
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