Microsoft Clarity AI bot tracking
Microsoft Clarity can surface AI bot activity from supported server or CDN integrations. SeeLLM adds page-level evidence for what AI systems revisit, cite, refer traffic from, and leave unresolved after a fix.
Best used for
Microsoft Clarity
session recordings, heatmaps, UX analysis, and AI bot activity
Best used for
SeeLLM
important-page evidence, page-level diagnostics, and action outcome tracking
Microsoft Clarity
Clarity can help teams see AI bot activity from supported integrations. That is useful evidence, but bot activity alone does not prove that an answer used the page, sent qualified visitors, or improved after a content fix.
SeeLLM
SeeLLM captures the request and classifies platform behavior at the edge, which makes it useful for monitoring the pages AI systems actually revisit, extract from, or stop reusing.
Where the gap remains
Client-side view
Clarity can help teams see AI bot activity from supported integrations. That is useful evidence, but bot activity alone does not prove that an answer used the page, sent qualified visitors, or improved after a content fix.
Server-side view
SeeLLM captures the request and classifies platform behavior at the edge, which makes it useful for monitoring the pages AI systems actually revisit, extract from, or stop reusing.
Feature comparison
Keep the existing tool for what it does well. Add SeeLLM for the page-level AI visibility layer it cannot produce. See how attribution works.
| Feature | Microsoft Clarity | SeeLLM |
|---|---|---|
| Free AI bot activity from supported server or CDN integrations | Yes | Yes |
| Shows page-level repeat fetch patterns | No | Yes |
| Session recordings and heatmaps | Yes | No |
| Crawled but not cited visibility | No | Yes |
| Page-level fix workflow and outcome history | No | Yes |
| Useful for UX debugging | Yes | No |
| Tracks important-page AI visibility changes | No | Yes |
| Best use case | Human session analysis | AI visibility monitoring for important pages |
Direct answers
Microsoft Clarity can surface AI bot activity when a supported server or CDN integration provides that request data. It is useful evidence that a bot reached the site, but a request alone does not establish citation, referral, or business impact.
Clarity contributes an AI bot activity signal. A complete AI visibility workflow also needs page importance, citation or source evidence, referral evidence, and a record of whether a page-level fix changed what happened next.
SeeLLM organizes access, repeated fetches, citation samples, referrals, and action outcomes around the pages a team cares about. Ambiguous signals remain labeled instead of being treated as proof of reuse.
Yes when both jobs matter. Use Clarity for session replay, heatmaps, UX analysis, and available bot activity; use SeeLLM for the important-page workflow before and after AI-mediated visits.
What bot charts do not answer
Activity is not outcome
Bot activity is a starting signal. Teams still need citation, referral, and repeated-attention evidence before treating a page as useful in AI-mediated discovery.
No page diagnosis
Content teams need to know whether the likely gap is answer structure, comparison framing, evidence, freshness, access, or internal linking.
No action history
Teams making content or information-architecture changes need a record of what shipped and whether fetches, referrals, or citation evidence moved afterward.
No operating cadence
The paid job is deciding which page matters this week, what to change, who owns it, and when to check the outcome.
Use them together
Clarity helps teams understand how humans behave once they are on the site. SeeLLM helps them understand whether AI systems are even helping the right pages enter consideration before the click happens.
Recommended setup
Next step
Run the free scan to establish the technical baseline, then monitor the important pages that shape how your brand shows up across AI systems.