What the agentic commerce checker does
AI shopping agents, inside ChatGPT, Perplexity, Claude and others, are starting to browse and buy on people's behalf. This tool audits a store or product URL and scores how ready it is for that world: can an AI agent find your products, understand their price and availability, and access your site? It's a rule-based check with no AI cost, so you can re-run it as you improve.
Why this matters now
As shopping shifts from search results to AI answers and autonomous agents, the stores that expose clean, machine-readable product data will be the ones agents can recommend and transact with. Stores that rely on pretty pages alone, with no structured data, become invisible to agents, exactly as that channel starts to grow.
What it checks
- Product structured data — schema.org Product markup so agents know what you sell.
- Price & availability — machine-readable Offer data so agents can quote you and avoid sold-out items.
- Product identifiers — brand, GTIN or SKU to match your item to a shopper's request.
- AI agent access — whether robots.txt blocks agents like GPTBot, OAI-SearchBot or PerplexityBot.
- Sitemap — so agents can discover every product page.
- Open Graph product tags — for rich, structured previews.
How to use it
- Enter a product page URL for the most detailed result (that's where Product data lives), or your homepage for a general read.
- Read the score and per-check verdicts, each with a plain-language fix.
- Improve and re-check until you're agent-ready.
Good to know
- It only reads public data, structured markup, meta tags and robots.txt, and never touches your checkout.
- Pair it with the AI Crawler Access Checker to confirm agents can crawl you at all, and the llms.txt Generator to give them a clean map.