How often AI is recommending you to buyers today
How often AI is recommending you to buyers today
This signal is mixed, so buyers may see you inconsistently.
Why this matters
This is the bottom line: how often are AI assistants actually recommending your business to buyers? When someone asks ChatGPT, Perplexity, Claude, Gemini, Grok, or Bing Copilot for a recommendation in your category, do you appear?
There is no page two of a ChatGPT response. If AI does not recommend you, the buyer never sees you. Not reduced traffic. Nothing. Competitors whose sites are easier for AI to understand are recommended in roughly 60-80 of every 100 buyer queries.
Per-model breakdown
Measured average across 2 live engines: 0/100. Engines we could not measure live are labeled estimated and show the ACRA readiness score instead.
Estimated from the current ACRA readiness model until a live measurement is available.
No organic mention across the measured buyer prompts.
Estimated from the current ACRA readiness model until a live measurement is available.
Estimated from the current ACRA readiness model until a live measurement is available.
Estimated from the current ACRA readiness model until a live measurement is available.
No organic mention across the measured buyer prompts.
Competitor advantage
Your foundational signals are partially in place. Competitors who close remaining gaps first will cement a citation advantage that compounds over 12–18 months as AI training data solidifies.
Estimated competitor head start: 2 months. Every month you delay, the gap compounds as AI training data solidifies their advantage.
What flips each model from 'skip' to 'recommend'
What to do next
- Fix the signals weighted highest by the model you care about most. If your buyers use ChatGPT, prioritize UCP + ACP. If they use Perplexity, prioritize press + E-E-A-T.
- Add sameAs schema. This is 15% of the Claude recommendation score.
- Build review profiles. Reviews are weighted 15% by every model.