Shoppers now start with ChatGPT, Perplexity, and Google AI. This tool reads a product page the way those agents do and tells you whether they can find, understand, and recommend it — then what to fix. Free, no signup, results in seconds.
AI recommends the best option, not just an adequate one. Paste 1–2 rival product URLs to see how your signals stack up.
The six things AI shopping agents read before they'll recommend a product — all checked from the public page, no login, nothing stored.
Product schema, price, currency, availability, brand, a GTIN/MPN/SKU, and breadcrumbs — the core facts an agent needs to price and match your item.
AggregateRating schema, review count, and visible ratings — one of the strongest signals AI leans on when it picks one product over another.
Organization schema, a stated return policy, shipping and delivery terms, and warranty — what agents check before recommending a merchant.
Specs and attributes (size, material, compatibility), an FAQ, and a real description — the content that answers the questions that trigger a recommendation.
Machine-readable price and currency, a canonical URL, and Open Graph product tags so your listing is clean and shareable.
Whether GPTBot, OAI-SearchBot, ClaudeBot, and PerplexityBot are allowed in robots.txt. Block a crawler and that engine can never recommend you.
It's how well a product page exposes the signals AI shopping agents (ChatGPT Shopping, Google AI Mode, Perplexity, Gemini) need to read and recommend a product: Product structured data, price and availability, a product identifier like a GTIN, reviews, merchant trust signals such as returns and shipping, buyer-question content, and whether AI crawlers are allowed to read the page. This tool grades each one from a product URL and returns a readiness score with fixes.
Yes. It's completely free with no account and no limit. It reads the public product page you enter plus its robots.txt, and stores nothing. There's no AI or paid API on our side, so there's nothing to charge for.
No. The check is a fast rules-based read of your page's structured data, meta tags, on-page text, and robots.txt. It doesn't query ChatGPT, Perplexity, or any model, so it can't tell you the exact answer an AI would give. It tells you whether your page exposes the signals those engines rely on to recommend a product.
Some stores render Product structured data in the browser with JavaScript, so it's not in the raw HTML the checker reads. If your schema loads client-side, an AI crawler that doesn't run JavaScript may miss it too. The fix is to output Product and Offer JSON-LD in the server-rendered HTML.
Yes. It works on any public product page — Shopify, WooCommerce, or a custom stack — because it checks universal signals like schema.org structured data and Open Graph tags. The app recommendations are geared to Shopify merchants.
