https://demo-store.example.com

No llms.txt file found at /llms.txt.

Why it matters: The llms.txt file tells AI models about your store's structure, product range, and how to interact with it. Without it, AI has to guess.

No variant data (size, color) found in Product schema. 0/8 products have variant markup.

Why it matters: Variant markup (size, color, etc.) helps AI agents present all available options to shoppers, reducing the chance they recommend a competitor instead.

GMC tag: detected. Required attributes: 5/9. Recommended: 2/10.

Why it matters: GMC-ready feeds are consumed by Google AI Mode for shopping queries. Missing required fields means your products won't appear in AI-powered shopping.

ACP readiness: 25%. 2/8 prerequisites met.

Why it matters: Agent Commerce Protocol (Shopify) enables AI agents to browse your catalog, add to cart, and complete purchases without human interaction.

Found 0/4 ACP-compatible API endpoints.

Why it matters: Validates your ACP implementation details -- ensuring AI agents can actually complete the browsing and purchase flow on your store.

Product feed: 1/8 required ACP fields present.

Why it matters: Validates your ACP implementation details -- ensuring AI agents can actually complete the browsing and purchase flow on your store.

No Stripe integration detected.

Why it matters: Validates your ACP implementation details -- ensuring AI agents can actually complete the browsing and purchase flow on your store.

UCP readiness: 38%. 3/8 prerequisites met.

Why it matters: Universal Commerce Protocol is an open standard for AI agents to discover products and complete transactions across any commerce platform.

UCP discovery: 0/4 discovery mechanisms detected.

Why it matters: Validates your UCP implementation to ensure interoperability with the broadest range of AI shopping agents.

Product schema found on 8/12 pages. Missing fields: gtin, brand, aggregateRating.

Why it matters: Product structured data (schema.org) lets ChatGPT and Google AI display your products with prices, availability, and images directly in their responses.

Product feed detected (/feed/products.xml). 312 products. Missing fields: availability (45%), shipping (100%).

Why it matters: A complete product feed (Google Merchant format) is the primary data source for AI shopping aggregators and comparison engines.

Average content score: 62/100. Product descriptions: 45% under 100 words. 3 pages with thin content detected.

Why it matters: AI models prefer well-structured, informative content. Higher quality content is more likely to be cited in AI responses about your products.

E-E-A-T score: 58%. Author info: missing. Reviews: found (4.2 avg). Trust badges: 2 found.

Why it matters: Experience, Expertise, Authoritativeness, and Trust signals help AI models determine if your store is a reliable source worth recommending.

robots.txt found. GPTBot: allowed. ClaudeBot: allowed. PerplexityBot: not mentioned (defaults to allowed).

Why it matters: robots.txt controls which AI crawlers (GPTBot, ClaudeBot, PerplexityBot) can access your store. Blocking them means your products won't appear in AI shopping results.

Sitemap found at /sitemap_index.xml. 847 URLs indexed. Last modified: 2 days ago.

Why it matters: A well-structured sitemap helps AI crawlers discover all your products and categories efficiently, ensuring complete coverage in AI shopping results.

Organization schema found. BreadcrumbList present on 10/12 pages.

Why it matters: Organization and BreadcrumbList schema helps AI understand your brand identity and site hierarchy, improving how your store is presented in AI responses.

Brand mentioned in 2/4 LLM responses tested. ChatGPT: yes. Perplexity: yes. Claude: no. Google AI: no.

Why it matters: Checks how your brand currently appears in AI assistant responses -- whether ChatGPT, Perplexity, or Google AI mention your store.

HTTPS: yes. TTFB: 420ms. JS rendering issues: none. Meta tags: complete. Mobile: responsive.

Why it matters: Fast load times, proper HTTPS, minimal JS-rendering issues, and clean meta tags ensure AI crawlers can efficiently access and index your store.

ACP readiness: 25%. UCP readiness: 38%. Shared prerequisites overlap: 62%. Recommended: UCP.

Why it matters: Comparing your readiness across ACP, UCP, and MCP shows which AI agent ecosystems can already interact with your store.