Purchase Likelihood — how likely is the purchase?
Purchase Likelihood is your revenue signal: a 0–100 score for how likely your product is to be the one bought for a given shopper question — whether the shopper is a person deciding with AI’s help, or an AI agent buying on their behalf.- A high score means you’re very likely to win the sale — you’re the product the shopper (or their AI) ends up buying.
- A low score means the sale is going elsewhere — a competitor is the one being bought for that question.
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 your brand signal: 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:
You don’t have to work this out yourself — the agent reads the same signals and brings you specific opportunities. But seeing both scores tells you, at a glance, what kind of problem you’re looking at.
Shape what 'correct' means
Your Brand Soul — the story the agent works from, and what Narrative Accuracy is measured against.
Knowing it's working
How to tell when an approved fix actually moved your scores.