Keep engine surfaces distinct
A Google Search observation is not automatically evidence for ChatGPT, Perplexity or Claude. Record the engine, URL and date for every claim.
AI Search Visibility Checker
Inspect AI-search preparation, not an invented visibility score.
Review public-page evidence before choosing any engine-specific change.
What RankFortune checks
- Raw HTML metadata and declared canonical
- Generic and matching-agent indexing directives
- Named search, training and user-fetch robots preferences
- One sitemap candidate, internal links and JSON-LD syntax
What you get back
- Observed issues and unknown checks, kept separate
- Sources, timestamps, scope and versioned rules
- Verification steps; actual citations and conversions remain not measured
Combine diagnostics and observations carefully
You can record actual citations while some technical checks remain unknown. Neither track needs to be falsely marked complete before the other can begin.
What happens after the scan
Review justified actions against the actual page goal. Add only truthful, applicable content or markup. The free scan does not crawl competitors, connect analytics or query target AI products; independent review and observations can proceed alongside it.
FAQ
Questions this audit answers
Does this scan measure actual AI visibility?
No. It is a public-page readiness review. The report marks actual AI mentions, citations and business outcomes as not measured.
Are FAQ, pricing and comparison pages mandatory?
No. They are only candidate content patterns. Their absence is not a failure or a reason to publish low-value variations.
Can I compare two scans?
Compare the same final URL and rule version, with the same intended scope. Preserve unknown states and confirm important changes with the appropriate external evidence.