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Signal 09 of 10

How often AI is recommending you to buyers today

48/100Mixedwww.xoinvite.com
48/100
Mixed

How often AI is recommending you to buyers today

This signal is mixed, so buyers may see you inconsistently.

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

tbrite - **Simple invitations with QR check-in:** Invyt - **Design-only workflow:** Canva I would not evaluate **xoinvite.com** as a current provider because the domain is inactive and does not operate an active commercial invitation business. **The Invite XO** at [theinvitexo.com](https://theinvitexo.com) is a different company fo

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%)

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: 4 months. Every month you delay, the gap compounds as AI training data solidifies their advantage.

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

  1. 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.
  2. Add sameAs schema. This is 15% of the Claude recommendation score.
  3. Build review profiles. Reviews are weighted 15% by every model.

Learn more