AI Visibility Checker for Citation, Crawler, and Referral Evidence
Audit whether a site is ready to be found, cited, clicked, and measured inside AI search and answer surfaces.
What the checker evaluates
AI crawler access
Robots, llms.txt, server responses, canonical paths, and crawlable templates that affect AI discovery.
Citation readiness
Schema, entity clarity, sourceable claims, stable anchors, and page sections that make AI citations easier to trust.
AI referral measurement
Whether AI-origin sessions can be separated from organic, direct, social, and unknown referral traffic.
Outcome context
GA4, GSC, and commerce signals needed to rank opportunities by visibility, traffic, and conversion value.
How teams use it
Use the page as a focused entry point, then move high-value sites into connected evidence tracking.
Start with a public URL
Use the static audit to find obvious gaps in discoverability, metadata, structured data, and answer-ready sections.
Connect live evidence
Add server-side telemetry and analytics integrations to confirm whether AI crawlers and AI referrals actually appear.
Prioritize page work
Turn the findings into page briefs, schema fixes, internal-link updates, and answer-layer experiments.
Outputs
A page-level AI visibility readiness score with evidence notes.
Crawler, citation, referral, and conversion measurement gaps.
Recommended fixes for homepage, comparison pages, product pages, and tool pages.
A shortlist of pages to connect to CitationGraph for live evidence tracking.
Common questions
Is this the same as a keyword rank tracker?
No. It starts with AI visibility evidence: crawler access, citation readiness, AI referral measurement, and outcome context.
Can the free checker prove that an AI model cited my site?
The free page can audit readiness. Connected tracking adds live crawler evidence, citation evidence, and referral analytics.
Who should use it first?
SEO teams, GEO teams, growth agencies, ecommerce operators, and content teams that need a fast baseline before deeper tracking.