Scan your website to see how visible you are to ChatGPT, Google AI, Brave, and Grok. 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.
MCP is a standard that lets AI agents connect to your site and use its features directly — without a human in the loop. We check whether your site is set up to be discovered this way. Most relevant for SaaS and platform businesses.
AI agents look for a machine-readable description of what your platform can do — so they can use it, recommend it, or connect it to other tools. We check whether your site makes that information available. Most relevant for platforms with public-facing functionality.
When an AI agent visits your site, it can receive a built-in map pointing to your key resources — documentation, tools, capabilities. We check whether your site sends that map automatically, so agents don't have to go looking.
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.