Every check is based on documented standards — not guesswork
The AI Visibility Score checks 10 website signals that AI systems use when deciding which businesses to recommend. Each signal is based on official documentation from Google, Anthropic, or OpenAI — with sources you can verify yourself.
The 10 checks
Schema Markup
What it measures
Structured data that tells AI how to categorize your business type and services.
Why it matters for AI search
AI systems use schema to understand what your business does before recommending it.
FAQ Section
What it measures
Question and answer formatted content on your website.
Why it matters for AI search
Perplexity, ChatGPT and Google AI Overviews demonstrably quote FAQ sections verbatim as direct answers. Test it yourself at perplexity.ai — ask any question and see where the answer comes from.
Source
Observable behavior in Perplexity and Google AI Overviews.
NAP Present
What it measures
Business name, address and phone number visible in crawlable text.
Why it matters for AI search
Google's #1 local ranking signal. AI pulls directly from Google Business Profile which validates NAP consistency.
llms.txt Present
What it measures
A file at your domain root that tells AI crawlers exactly what your site covers.
Why it matters for AI search
The emerging standard for AI crawler communication. Already adopted by Anthropic and Perplexity.
AI Crawlers Unblocked
Most criticalWhat it measures
robots.txt file allows GPTBot, ClaudeBot and PerplexityBot to read your website.
Why it matters for AI search
If AI crawlers are blocked your site is invisible to AI search regardless of everything else. This is the most critical check.
Question Format Headings
What it measures
H2 or H3 headings that start with How, What, Why, Where or When.
Why it matters for AI search
AI systems frequently cite content structured as direct answers to questions. This is the format AI was trained to recognize as authoritative answers.
Source
Observable in Google AI Overviews citation behavior.
Service Area Mentioned
What it measures
City and region names appear in your website content.
Why it matters for AI search
AI uses geographic signals to match businesses to local queries. "Best roofer in Austin" requires Austin to appear in your content.
Source
Google local ranking documentation.
Content Depth
What it measures
Minimum 800 words of substantive content with specific facts, services and details.
Why it matters for AI search
Thin content has been a Google ranking penalty since 2011. AI inherits this signal — it cannot cite content that doesn't exist.
About or Team Page
What it measures
A page showing the real people behind the business with credentials and experience.
Why it matters for AI search
Google's E-E-A-T guidelines (Experience, Expertise, Authoritativeness, Trustworthiness) directly influence AI recommendation authority signals.
Social Media Links
What it measures
Active social media profiles linked from your website.
Why it matters for AI search
Social presence reinforces business legitimacy and provides additional indexed content for AI to reference.
Source
Google local authority signals.
Website signals are 35% of the full picture
This tool checks your website only. The signals below have equal or greater impact on whether AI recommends your business — but they require manual analysis:
- lockGoogle Business Profile completeness
- lockGoogle review count and recency
- lockDirectory presence (Yelp, BBB, Angi)
- lockReddit and web mentions
- lockWikipedia and brand authority
- lockYouTube channel presence
- lockContent citability scoring
- lockCompetitor comparison in AI search
We check all 8 manually on your free 20-minute audit call.
Book My Free Audit →About our scoring
Each of the 10 checks is currently weighted equally at 10 points each. In practice not all signals carry equal weight — AI Crawler Access and Schema Markup have the highest impact. If those are red on your score — fix them first regardless of your total score.
We will update the weighting as AI search behavior becomes more formally documented.
Sagelyn's methodology is updated as AI search behavior evolves. Last updated: May 2026.
Questions about our methodology? sourav@daisy-ai.com