ChatGPT doesn’t recommend your store. Here’s why.
You watched it name a competitor. Run the same check shopping agents run — get your store’s real agent-readiness score and the three fixes that lift you most.
Six reasons AI shoppers skip a brand
Every recommendation an LLM makes is a synthesis across these dimensions. Score low on any two and you’re out of the answer.
Your product pages have no Product schema
Without JSON-LD on PDPs, agents can't reliably extract name, price, availability, or images. They skip you in favour of a brand they can parse.
Your reviews are visible to humans, not to agents
AggregateRating + Review schema is the #1 signal LLMs use to rank brands in shopping answers. Closed-schema reviews apps hide it.
Pricing is ambiguous in the markup
Sale state, currency, and the active price need to be in the Offer node. Ambiguity kills checkout intent in agent flows.
Catalogue thin or images missing
Agents weight breadth + image coverage. Sparse catalogues with image gaps lose to mid-catalogue brands with complete metadata.
No agent checkout surface
UCP / ACP / MCP endpoints are how an agent moves from "recommend" to "buy". Without one, you stay in the consideration set and out of the cart.
Returns policy not discoverable
Agents factor returns risk into recommendations. A clear, structured returns page is a quiet ranking lift most brands ignore.
Two queries, two brand sets
“best D2C skincare brands for sensitive skin”
For sensitive skin, the brands that come up most consistently across product comparisons are Tower 28, ILIA Beauty, Drunk Elephant, Beautycounter, and Versed. Each has transparent ingredient lists and accessible review aggregations.
“best D2C apparel brand for sustainable basics”
Most-cited names for sustainable basics: Pact, Quince, Everlane, Outerknown, and Allbirds. Pact and Quince surface most often because both have detailed material-sourcing pages plus consistent product schema.
Three moves that change your score this week
See who’s above you
Brands ranked higher on agent-readiness in your cohort — and the patterns they share.
Open the leaderboardFix your PDPs
Schema-by-schema teardowns of D2C product pages that win citations — copy what works.
See agent-readable PDPsGet the full audit
The diagnostic above looks at the surface. The full audit looks at every PDP, feed cadence and checkout signal.
Run the full audit