How Agent Cards Work: Certified Product Data for AI Engines
Your product catalog was built for human shoppers and search crawlers. AI engines are a third reader, and they read differently. Agent Cards are certified, structured, always-current records of each product, built for AI consumption.
Your product catalog was written for two readers: human shoppers skimming a page, and search engine crawlers parsing keywords. AI engines are a third reader, and they read differently. Adobe found that roughly a third of product pages are not properly readable by LLMs. When an AI assistant cannot parse your ingredient list, your size logic or your compatibility rules, it does one of two things: it skips your product, or it guesses. Both cost you the sale, and the guess can cost you more than that.
Agent Cards are Querytail's answer: certified, structured, always-current records of each product, built for AI consumption. Here is how they actually work.
Step one: ingestion without surgery
Querytail connects to your existing PIM, ERP or e-commerce platform (Shopify natively, plus Salesforce Commerce Cloud, Magento, Akeneo) and reads your catalog as it is. Your source catalog is never modified. Everything Querytail builds lives in a parallel layer, the Mirror Catalog, so there is no migration, no re-platforming and no risk to the data your team maintains today.
Step two: structuring and enrichment
Each product becomes an Agent Card: a schema-validated record with a stable canonical identifier, explicit attribute roles (what is a material, what is a claim, what is a constraint), and enriched conversational attributes, the answers to the questions shoppers actually ask. Enrichment is proposed by the system and validated by you: nothing enters a card as fact without the merchant's approval. That approval step is what makes the card certified rather than merely reformatted, and it is what separates an Agent Card from a generic structured feed.
Step three: live facts stay live
Price, stock and availability are never baked into a card. They are fetched from your systems in real time at the moment an answer is composed, because a cached price is a wrong price waiting to happen. Static truths live in the card, hot data stays hot.
Step four: one card, two destinations
On-site, the AI-powered shopping assistant sells from your Agent Cards and only from them: every factual claim it makes is checked against the certified data by the Semantic Firewall, and when the data does not carry an answer, the shopping assistant says so rather than improvising, routing the question to your Merchant Console. Off-site, the same cards are emitted to the surfaces where buying research starts: the UCP product discovery layer, the ACP feed spec for ChatGPT, schema.org markup and Google Merchant Center. The transport is free and standardized. The value is in what travels: your catalog, certified, enriched and measured across the AI engines.
Step five: measurement closes the loop
Distribution without measurement is hope. Querytail tracks where your brand actually surfaces across the AI engines month over month, and every unanswered shopper question flows back to your Merchant Console, where answering it once enriches the card permanently. The catalog gets more complete every week it runs, and you can see it happening.
Why not just publish a feed?
Because feeds move data without certifying it. The platforms themselves make the case: Shopify reports that structured Catalog data converts about twice as well as scraped data in AI search. Correctness compounds harder than reach. An AI engine that has been burned by a wrong answer about your allergens has no reason to trust your feed tomorrow, and a shopper who got the wrong answer on your own site may not come back at all. Certification is what makes the reach worth having.
What it takes to start
One catalog connection, no development sprint, and validation sessions where your team approves the enriched attributes that matter in your category. Most catalogs are live in days. From day one, an always-on holdout measures what the on-site shopping assistant changes on your own traffic, so the impact is proven on your numbers, not claimed from anyone else's.
FAQ
Does Querytail modify my product data? Never. The Mirror Catalog is a parallel, certified copy. Your source systems stay untouched.
What happens when I update a product? The card syncs automatically, and live facts like price and stock are always fetched in real time regardless.
Which AI platforms read Agent Cards? Any surface consuming the open standards: ChatGPT via the ACP feed spec, Google surfaces via Merchant Center and UCP discovery, plus schema.org for the long tail.
Can the AI say something my card does not support? No. The Semantic Firewall restricts factual claims to certified data, and unanswerable questions are declared and routed to you rather than guessed.