HTTP responses, tags, links, text patterns, JSON-LD, policies, sitemap, robots directives, heading structure, and image attributes. These alone determine the score.
VERSION 1.0 · SEPTEMBER 2026
The AI Visibility Score methodology
A deterministic 100-point website-readiness score. Every point comes from a published rule applied to public website evidence.
What the score is: a diagnostic of whether a business website exposes the identity, answers, evidence, and technical signals answer engines need. What it is not: a claim that a business appears in every model response or a substitute for live prompt tracking.
Access & indexability
22 pointsSuccessful homepage response5 pts
HTTPS3 pts
Crawler-safe robots.txt4 pts
XML sitemap4 pts
Canonical URL3 pts
Indexable homepage3 pts
Machine-readable identity
23 pointsOrganization/LocalBusiness schema7 pts
Visible business contact identity5 pts
sameAs profiles3 pts
Service/Product schema4 pts
About and Contact paths4 pts
Answer-ready content
25 pointsFAQPage schema5 pts
Question-led headings4 pts
Substantive direct-answer copy5 pts
Multiple service-detail paths4 pts
Descriptive H13 pts
FAQ/resources path2 pts
Current-year freshness2 pts
Trust & proof
18 pointsReview/testimonial evidence5 pts
Results/case-study evidence4 pts
Expertise attribution3 pts
External supporting sources3 pts
Privacy/terms3 pts
Technical clarity
12 pointsTitle and meta description4 pts
Exactly one H12 pts
Mobile viewport2 pts
Document language1 pts
Image alt coverage3 pts
Measured layer vs. interpretation layer
Plain-language summaries, prioritization context, and suggested actions. Interpretation explains evidence; it cannot award points, remove points, or silently override a rule.