Signal 09 of 10

How often AI is recommending you to buyers today

40/100Needs workEvergreen State Heat & AC

Needs work

How often AI is recommending you to buyers today

This signal needs work before it can reliably support buyer discovery.

You vs peer median

Peer median 62

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 6 live engines: 13/100. Engines we could not measure live are labeled estimated and show the ACRA readiness score instead.

ChatGPT0measured

No organic mention across the measured buyer prompts.

Signal weights:UCP (20%) + ACP (20%) + Structured Data (15%) + Reviews (15%) + FAQ (10%) + Agent Manifest (10%) + llms.txt (10%)

Gemini0measured

No organic mention across the measured buyer prompts.

Signal weights:Structured Data (20%) + E-E-A-T (15%) + Reviews (15%) + Social (15%) + FAQ (10%) + sameAs (10%) + Case Studies (10%) + Press (5%)

Claude0measured

No organic mention across the measured buyer prompts.

Signal weights:sameAs Entity (15%) + E-E-A-T (15%) + Structured Data (15%) + Reviews (15%) + Case Studies (10%) + UCP (10%) + llms.txt (10%) + FAQ (10%)

Perplexity0measured

No organic mention across the measured buyer prompts.

Signal weights:E-E-A-T (20%) + Press (15%) + Reviews (15%) + Structured Data (15%) + Case Studies (10%) + FAQ (10%) + llms.txt (10%) + Social (5%)

Copilot75measured

nce, service capabilities, ownership model, warranties, and heat-pump expertise, I’d shortlist these providers: ### 1. Evergreen State Heat & AC — Best overall for replacement projects **Website:** `essmwa.com` / `evergreenstatehvac.com` **Why it ranks first:** This locally owned contractor has operated for more than 40 years and is es

Signal weights:Social (20%) + Press (15%) + Reviews (15%) + Press Distribution (10%) + Structured Data (15%) + E-E-A-T (15%) + FAQ (10%)

Grok0measured

No organic mention across the measured buyer prompts.

Signal weights:Social / X signals (25%) + Real-time mentions (20%) + Structured Data (15%) + Reviews (15%) + E-E-A-T (15%) + llms.txt (10%)

What flips each model from 'skip' to 'recommend'

UCP ManifestRequired for ChatGPT Shopping inclusion

ACP CheckoutRequired for AI-initiated transactions

sameAs entity verificationCritical for Claude and Gemini trust scoring

E-E-A-T signalsWeighted 15-20% by every major model

Review platform coverage0 of 3+ minimum for recommendation confidence

Press coveragePrimary trust signal for Perplexity and Copilot

Case studiesWeighted by Perplexity, Claude, and Gemini

llms.txt10% weight across all 5 models

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.
Implement UCP manifest. This is 20% of the ChatGPT recommendation score.
Add sameAs schema. This is 15% of the Claude recommendation score.
Build review profiles. Reviews are weighted 15% by every model.

Learn more