AI-search reporting for SEO agencies
Give every SEO client a defensible AI-search report.
See which pricing, product, comparison, and documentation pages AI systems use, where competitor sources appear instead, and what to fix next. Then show your client what changed.
Built for agencies managing multiple B2B SaaS and technical-product websites.
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
Your clients are asking about AI search. You need more than screenshots.
Turn uncertain AI-search conversations into a repeatable client deliverable: identify the page, explain the evidence, recommend one change, and show what moved.
Replace unstable prompt checks
Use evidence from the client’s own pricing, product, comparison, and documentation pages—not a handful of screenshots that change from one run to the next.
Create a repeatable client deliverable
Give clients a concise page-level diagnosis that explains where competitor sources appear and which page deserves attention next.
Prove the work mattered
Establish a baseline, change one page, and compare the same crawler, source, and referral signals afterward.
The client-ready brief
Give clients one clear reason to act.
Not another score to explain. A short decision brief that names the page, the evidence, the likely gap, the recommended action, and the signal to check afterward.
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.
The agency workflow
Prove one client result. Repeat it across domains.
Turn one client win into a repeatable workflow.
- 01
Choose one client’s pages
Start with 3–5 pages tied to evaluation, traffic, pipeline, or revenue.
- 02
Generate the baseline
See access, sampled sources, likely gaps, and the next client-ready action.
- 03
Recommend one change
Give the client a clear reason to update one page, backed by stated evidence.
- 04
Verify, then repeat
Compare the same measured signals after release and take the workflow to the next domain.
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 report30-day agency Evidence-to-Fix pilot
Give one client a result you can show.
Baseline one client. Recommend one change. Verify what moved. Pick a domain and 3–5 commercially important pages, then turn the result into a client-ready brief.
- 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.