1,000 businesses. 5 AI models. 95,392 data points. The first large-scale study on which businesses get recommended by AI — and why.
What separates the businesses AI recommends from the ones it ignores.
65.9%
of businesses are completely invisible to AI. They appear in zero AI-generated answers across all five models tested.
4%
of businesses appear in all five AI models. Being visible in one model does not guarantee visibility in others.
2.4x
higher visibility
Businesses with 1,000+ Google reviews score 23.6 vs 9.8 average. Reviews are a strong signal AI models use to filter recommendations.
How AI visibility metrics evolve as we rerun the study each month.
Trend data starts with the April 2026 baseline.
New data points will appear here after each monthly study rerun.
Percentage of businesses that appear in each AI model's recommendations. Perplexity leads at 22.5%, while Claude mentions only 13% of businesses tested.
Average AI visibility score by industry. Personal injury law leads; med spas trail significantly.
How the AI Visibility Index is built each month.
1,000 businesses across 10 industries, balanced between local service businesses and SaaS companies.
Each business is queried across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews using standardized buying-intent prompts.
We collect 27 technical and authority signals per business including schema markup, review counts, blog content, robots.txt, and crawl accessibility.
Pearson correlation coefficients are calculated between each signal and the composite visibility score to identify what actually drives AI recommendations.
Full dataset available as CSV. Use it for your own analysis, research, or client reporting.
Run a free AI Visibility audit and get your score across all five AI models in under 60 seconds.
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