We ask ChatGPT, Claude, and Gemini: "I need a [your niche] in [your city] — who do you recommend?" — then check if the AI recommends you. Temperature: 0. No hallucinations.
Consumers are increasingly turning to AI assistants — ChatGPT, Claude, and Google Gemini — to find local businesses. Instead of scrolling through 10 blue links, they ask a simple question and get a direct recommendation.
Market Recommendation Share measures whether those AI models recommend your business when a customer in your city asks for your service. Think of it as your "share of AI voice."
Our "Secret Shopper" probe sends a real consumer question to three major AI models — simultaneously — and analyzes every response. Here's the exact flow:
Business name, category/niche, city, and website URL. The cockpit auto-fills these from your latest scan data.
Each AI model receives the same neutral prompt at temperature 0 (the most deterministic setting — no creative randomness). The models respond with their top 3 business recommendations.
For every provider, we check: Were you mentioned? What rank? Did they cite your URL? What was the sentiment? Each factor contributes to a 0–100 visibility score per model.
For any AI that didn't recommend you, a second AI call generates a detailed explanation of why — referencing the competitors it chose instead and what they have that you don't.
A full narrative analysis, per-provider breakdown, "Why Invisible" cards, and even a ready-to-send lead outreach email are generated from the results.
Transparency is core to our methodology. Here is the exact system and user prompt sent to each AI model:
We probe all three models in parallel. Each has different training data and different strengths, giving you a 360° view of your AI visibility.
The most widely used consumer AI. If ChatGPT doesn't recommend you, millions of potential customers won't find you through it.
Known for careful, factual responses. Claude emphasizes verifiable data — strong schema markup and structured data matter most here.
Integrates with Google's knowledge graph. Businesses with strong Google Business Profiles and consistent NAP data perform best here.
Each AI provider generates a 0–100 visibility score based on five signals extracted from the model's response:
| Signal | What it means | Points |
|---|---|---|
| Mentioned | The AI mentioned your business by name anywhere in its response | +50 |
| URL Cited | The AI included a link to your website — a strong trust signal | +20 |
| Top 3 Rank | You appeared in the AI's top 3 recommendations | +15 |
| #1 Rank | You were the first business the AI recommended | +10 |
| Sentiment | Positive language about your business adds points; negative language penalizes | +10 / −30 |
Your aggregate score is the average across all available providers, producing one of four visibility statuses:
The most valuable part of the probe isn't discovering that you're invisible — it's understanding why.
For every AI model that didn't recommend you, we run a second analysis that examines the competitors it did choose and explains the gap. Common reasons include:
Competitors have richer schema markup — LocalBusiness, FAQ, Review — that makes them verifiable to AI.
Your business address or service area is ambiguous. AI can't confidently place you in the right city.
Missing title tags, meta descriptions, or canonical URLs make your site unreadable to AI parsers.
Negative reviews or inconsistent brand messaging causes AI to avoid recommending you.
Run a $27 audit to check your AI Visibility Score, then upgrade to Starter to unlock the AI Secret Shopper probe.
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