The share of a category's buyer intents for which a brand appears in AI recommendations at all.
Buyer Intent Coverage is the percentage of the distinct buyer intents in a category for which a brand appears in AI recommendations at least once. A brand can hold strong Recommendation Share on a few prompts yet have low Coverage if it never surfaces for the rest. Coverage measures breadth across the Buyer Intent Graph, not depth on any single intent.
Recommendation Share can be inflated by dominating one or two prompts. Buyer Intent Coverage reveals how much of a category's actual demand a brand is even eligible to capture. Low coverage is hidden risk: whole clusters of buyers never see the brand.
A supplement brand appears for searches like "best creatine" and "best pre workout" but never for the other 18 intents in its category. Its Buyer Intent Coverage is 10 percent, even if its share on those two prompts is high.
Two stores. Similar-looking Share numbers hide a completely different reality once you count how many buyer intents each one actually reaches.
Click a branch to mark it covered. Coverage is built one buyer intent at a time.
Every piece of new content mapped to a real buyer question adds one more covered intent to the map.
Click a missing intent to see what AI actually returns when that buyer asks.
Orange intents are covered. Grey intents have never once returned this brand. This is what a category's demand actually looks like.
Watch each new piece of content unlock the next percentage point. No manual step needed, this one plays itself.
Click each content type in order. Watch the matching buyer intent light up and Coverage climb.
Get a free AI Commerce Score first, it predicts your Buyer Intent Coverage. Then see the full intent-by-intent map.
Illustrative example · single-site signal for atomfoundry.dev.
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