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Research Report

AI Visibility Report

Ongoing research tracking how well business websites are structured for AI visibility across ChatGPT, Gemini, Claude, and Perplexity.

When someone asks ChatGPT, Perplexity, Gemini, or Claude to recommend a business — a dentist, a law firm, an online store — the AI draws its answer from structured signals it can reliably read. Most business websites weren't built with those signals in mind. The result: businesses that are well-known locally or rank well on Google often don't appear in AI responses at all.

This report tracks, from real AI-visibility scans of business websites, how widespread the gaps are. For each site scanned, we check whether it has structured schema markup, whether AI assistants currently cite it, whether it contains FAQ content, whether its NAP (name, address, phone) data is complete, and whether its content structure is readable by AI. The data comes from initial outreach scans and updates regularly as more businesses are scanned.

Data last updated: September 10, 2026 · 125 total scans
Overall findings

Across all businesses

Percentage of scanned business websites with each AI visibility gap present.

35%
Missing schema markup
No structured data for AI to parse
97%
Not cited by AI assistants
AI engines don't mention or recommend them
61%
No FAQ content
Missing Q&A signals AI relies on
17%
NAP data incomplete
Missing name, address, or phone signals
14%
Poor AI-readable structure
Content structure hard for AI to extract
Not appearing in AI engine responses
ChatGPT
100%
Gemini
100%
Claude
99%
Perplexity
98%
By business category

Findings by business type

Each category has distinct patterns in how AI visibility gaps show up. Categories are shown once enough data has been collected.

Local Business

Collecting data

Real Estate

Collecting data

Ecommerce

Collecting data

National & Online Services

Collecting data

Content & Resource Sites

Collecting data

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