Technical guides on AI visibility, crawlability, and AI readiness improvements.
Text-to-HTML ratio was never a real SEO ranking signal - but it turns into a real cost for AI systems. Every kilobyte of markup an LLM has to parse is a token it can't spend on your content. Here's how to audit and fix your page's signal density.
AI agents don't see your UI - they read the accessibility tree. Missing or vague ARIA labels force agents to guess at button functions, skip interactive controls, or fail tasks entirely. Here's how to audit your interface for agent readiness.
Read-only AI crawlers don't interact with your page, so INP barely affects them. But agentic AI browsers - OpenAI's Operator, Anthropic's computer use, Perplexity's Comet - do interact, and a slow INP can cause them to mis-click, get stuck, or abandon your site entirely.
Layout shift doesn't just annoy users - it corrupts the DOM snapshot AI systems use to extract content. When elements jump after the initial parse, AI chunkers split sentences in the wrong places, producing noisy, incomplete embeddings in your RAG pipeline.
AI search engines run race conditions - they query multiple sources at once and only process the fastest responses. A slow TTFB doesn't just hurt your ranking; it removes you from consideration entirely. Here's what's happening and what to do about it.
A plain-English breakdown of every metric in your AI Readiness Audit - including Content Diff impact and the "See Content Invisible to AI Bots" list - what each number means, what's worth fixing, and in what order.