25 technical and structural checks to verify AI systems can access, read, and cite your content. Each check includes real code examples showing exactly what to fix.
Traditional SEO focused on making content accessible to Googlebot. In 2026, that is only half the equation. AI Search systems like ChatGPT, Claude, Perplexity, and Google AI Overviews now drive a growing share of B2B research queries. If AI crawlers cannot access your content, you are invisible to this entire channel.
AI crawlability differs from traditional crawlability in five key ways. First, you need to explicitly allow AI-specific user agents in robots.txt and verify your CDN is not blocking them at the network layer. Second, your entity identity must be consistent across all platforms so AI can build a coherent knowledge node. Third, your structured data needs to be optimized for extraction, not just rich snippets. Fourth, your content format matters: AI models prefer the definition-plus-bullets pattern over walls of text. Fifth, server-side rendering is mandatory because most AI crawlers do not execute JavaScript.
This checklist covers all five pillars across 25 actionable checks. Each check includes the reasoning behind it, step-by-step fix instructions, and side-by-side code examples showing the wrong approach vs. the correct implementation. Expand any item to see the full details.
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