Purchase Likelihood — is AI recommending you?
Purchase Likelihood is a 0–100 score for how likely an AI assistant is to recommend your product as the buy for a given shopper question.- A high score means AI points shoppers to you — first, confidently, often with a link to buy.
- A low score means shoppers using AI to decide aren’t being sent your way; a competitor is getting the recommendation instead.
Purchase Likelihood is measured per shopper question, then rolled up per product and across
your brand — so you can see exactly which questions you win and which you lose.
Narrative Accuracy — is AI describing you right?
Narrative Accuracy is a 0–100% score for how well the AI’s description of your product matches the story you intend.- A high score means AI mentions the things that matter about your product, and gets them right.
- A low score means AI is telling shoppers the wrong story — leaving out your key selling points, getting a detail wrong, or crediting one of your strengths to a competitor.
Reading them together
The two scores point to different fixes. That’s the whole value of having both:| Purchase Likelihood | Narrative Accuracy | What it’s telling you |
|---|---|---|
| Low | Low | AI doesn’t really know your product yet. The fix is content. |
| Low | High | AI knows you but still picks a competitor — usually price, availability, or where you’re sold, not your story. |
| High | Low | You’re winning, but on a shaky story. Worth shoring up before it slips. |
| High | High | You’re winning for the right reasons. Defend it. |
Knowing it's working
How to tell when an approved fix actually moved your scores.