Scan your website to see how visible you are to ChatGPT, Claude, Perplexity, and Google AI. Get your score in seconds.
Scan complete. Here's how your site performs across all AI readiness checks.
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We run the same checks our team uses in paid audits — fully automated, free, no login required.
We check if AI crawlers can actually read your pages — or if your JavaScript-heavy site is invisible to them.
Your robots.txt tells AI engines what they can and can't index. We check if you're accidentally blocking GPTBot, ClaudeBot, or Google-Extended.
A valid XML sitemap helps AI engines discover all your pages. Missing one means they'll miss content too.
Structured data (JSON-LD) tells AI engines exactly what your business does. We check for Organization, FAQPage, and more.
Your title and description are AI engines' first impression. We check quality, completeness, and Open Graph tags for sharing.
AI engines cite sources with depth. A homepage-only site won't get cited — we check how much expert content you have.
We send a live query to ChatGPT derived from your site's category and check whether your brand appears in the response. The only check that tells you if AI is actually recommending you right now.
We query Google Gemini live with a category question derived from your site and check whether your brand appears in its answer. A second AI engine, a second data point.
Brave Search powers several AI tools. We check Brave's AI-generated answer for your category and whether your brand appears — a signal of your independent search visibility beyond Google.
We search X (Twitter) for your brand name mentions in the last 7 days. Social proof and conversation volume are increasingly used as trust signals by AI citation engines.
We parse your robots.txt for named AI crawler rules — GPTBot, ClaudeBot, Perplexity, and others — so you know exactly which AI agents you're welcoming or blocking.
AI agents prefer clean text over rendered HTML. We test whether your server supports content negotiation for Markdown — a signal that you're built with AI consumption in mind.
Content-Signal directives in robots.txt let you explicitly declare your AI content preferences — whether your content can be used for AI training, search, or AI input. An emerging standard that forward-thinking sites are already adopting.
The Model Context Protocol (MCP) lets AI agents interact with your site programmatically. We check if you've published an MCP manifest at /.well-known/mcp.json. Relevant for SaaS and API-driven products.
AI agents look for machine-readable API catalogs to understand what your site can do. We check for OpenAPI specs and AI plugin manifests that make your site agent-callable. Relevant for platforms with public APIs.
HTTP Link response headers tell AI agents where to find your API catalog, documentation, and capabilities. We check for agent-useful relation types like api-catalog and service-doc per the RFC 8288 standard.
The most revealing check we run. We take your site's category, build a real buyer query — the kind a prospect would type into ChatGPT or Gemini — and test which brands AI actually recommends. You see exactly who appears where you don't, and which queries trigger your competitors instead of you. This is the check that makes everything else actionable: knowing your score is one thing; knowing who's taking your position — and why — is what drives the strategy.