The D2C brands AI shoppers actually find
ChatGPT, Perplexity, Claude and Google AI Mode are recommending brands today. We’re indexing ~25,000 D2C stores against the seven things shopping agents check before naming a brand. Below: the first 5,612 live, ranked.
5,612
Live on the board25K+rolling out
In the index40.1% largely-ready+
Above the bar23robots.txt disallow
Blocking AI shoppers59/100
Top-10 avgWhen a buyer asks an AI assistant, only a few brands get named.
“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.
“recommend D2C running shoe brands”
Brands cited most often: Tracksmith, On Running, Bandit, and Allbirds Tree Dasher. Tracksmith and Bandit surface most often because both have detailed material/attribute pages plus verified review aggregations.
“best small-batch coffee subscriptions to gift”
Trade Coffee, Atlas Coffee Club, Driftaway, Bean Box, and Counter Culture come up consistently. Trade and Atlas are most often named for breadth; Counter Culture for roast quality.
Cross-vertical leaderboard
All scored brands, sorted by agent-readiness. Click any brand to visit its store.
Category leaders
Apparel & Accessories
Top scorers when a shopper asks “best D2C apparel brands”
Beauty & Wellness
Top scorers when a shopper asks “best clean beauty brands”
Food & Drink
Top scorers when a shopper asks “best D2C food brands”
Home & Garden
Top scorers when a shopper asks “best home goods brands”
Pet
Top scorers when a shopper asks “best D2C pet brands”
Furniture
Top scorers when a shopper asks “best D2C furniture brands”
Baby & Kids
Top scorers when a shopper asks “best D2C kids brands”
The seven things AI shopping agents check
Each brand is scored 0–100 across seven independent dimensions, weighted by how heavily the major shopping engines actually rely on each signal. Scoring is deterministic — same inputs, same score, no LLM judgement in the loop.
Catalogue completeness
Product count, structured attributes, image coverage. Agents skip catalogues they can't parse.
Pricing clarity
Current price, currency, sale state. Ambiguous pricing makes agents skip you.
Reviews schema
AggregateRating + Review in JSON-LD. Reviews are the #1 ranking signal in AI shopping answers.
PDP schema
Product + Offer JSON-LD on every product page. Without it, agents can't extract what they need.
Inventory signal
Real-time availability the agent can trust before recommending — including SKU-level stockouts.
Returns visibility
Returns policy explicit and discoverable. Agents weight returns risk into recommendations.
Feed freshness
How often the product feed updates, so agents quote current prices and stock instead of stale ones.
Run the same check on your own store with the live diagnostic, or see which brands AI assistants name by category in the Agentic Commerce Index.
Where to go next
ChatGPT doesn't recommend your store
Run a live diagnostic to see why your brand isn't in the answer.
Agent-readable PDPs
Side-by-side teardowns of the product pages AI shoppers actually parse cleanly.
How AI shoppers find brands
The four AI shopping surfaces, the signals they weight, and where to start.
Frontlane for ChatGPT Ads
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