AI search analytics for important pages
Find the AI search gaps on your most important pages—and what to fix next.
SeeLLM helps SEO and growth teams prioritize pricing, product, comparison, and documentation changes using page-level AI evidence.
Start with 3–5 pages. No subscription required for the first report.
Observed crawler requests
Requests recorded on the monitored site
Sampled citation checks
Pages found in named answer and source samples
Detectable AI referrals
Visits carrying an identifiable AI referrer
The business problem
Stop changing important pages blindly.
AI search work becomes expensive when every page looks equally urgent. SeeLLM narrows the work to pages tied to buyer decisions and states why each one deserves attention.
Protect buyer-facing pages
Find pricing, product, comparison, and documentation pages with no observed activity or weak sampled-source evidence.
See where competitors become the source
Compare specified buying-intent answer samples with the pages your team expects those answers to use.
Prove whether the measured signals moved
Establish a baseline, change one page, and compare the same crawler, source, and referral signals afterward.
From signal to decision
One page. One reason. One next action.
Not another score to watch. A short decision brief your team can use to prioritize the next content or technical change.
Illustrative important-page decision
Your comparison page is reachable. Competitor sources still appear in the named samples.
The useful question is not whether a bot visited. It is whether the page contains evidence that buyers and answer systems can extract and verify.
- Page
- /compare/seellm-vs-alternative
- Business importance
- High — supports vendor evaluation
- Evidence
- Example repeated crawler activity; absent from named comparison-source samples
- Likely gap
- Claims may lack a compact, source-backed comparison
- Recommended action
- Add a verifiable comparison block and rerun the same checks
- Verification signal
- Movement in repeat requests, sampled sources, or detectable referrals
Illustrative data. A before/after change shows measured movement without proving causation.
A single progression
Start with an audit. Add live proof when it matters.
The first report and ongoing monitoring are two stages of the same page-level workflow.
- 01
Send 3–5 pages
Choose the pages tied to evaluation, traffic, pipeline, or revenue.
- 02
Get the evidence report
See access, sampled sources, likely gaps, and the next action.
- 03
Connect Site Agent
Add continuous observed crawler and referral evidence when you need live proof.
- 04
Fix and verify
Change one page and compare the same measured signals after release.
April 2026 field report · 3 sites · 7 days
“Claude crawled our monitored sites 258 times in seven days without requesting a single post.”
Server-side observations
The finding is not that crawler volume creates value. It is that site-wide activity can hide gaps on the pages your team actually needs AI systems to reach.
Read the complete field report48-hour important-pages audit
Find the page your team should fix next.
Send your domain and the 3–5 pages that matter most. We will return a concise evidence report with the strongest visible gap, likely reason, and recommended next action.
- Access and readability checks
- Sampled citation and source evidence
- Visible competitor source gaps
- One prioritized page-level action
Questions
Evidence without theater.
What can SeeLLM prove?
SeeLLM distinguishes observed requests and detectable referrals from sampled source checks and inferred page gaps. It reports the evidence window and does not treat a missing sample as universal absence.
How is this different from prompt tracking?
Prompt trackers sample what answer engines say. SeeLLM adds evidence from your own pages: which monitored URLs received classified requests, where sampled sources appeared, and which detectable referrals returned.
Is Cloudflare required?
No. The first audit can use public checks. Cloudflare is the fastest Site Agent path for continuous edge evidence; Vercel, Next.js, and manual installations remain available.
What happens after the first audit?
Use the report to choose one page and one change. Connect Site Agent when you want ongoing request and referral evidence, then compare the same signals after release.
Will Site Agent affect site performance?
The Worker participates in the request path. Telemetry delivery is non-blocking, while origin fetches or approved response transforms can add overhead. Test it against your performance budget like any edge dependency.