The AI visibility blog
No-fluff guides, technical references and data on getting your site found and cited by AI assistants — ChatGPT, Claude, Gemini, Perplexity, Doubao and Grok. We write about the things that actually move the needle: AI bot crawlability, JavaScript rendering, schema.org structure, llms.txt, and how to measure AI visibility instead of guessing. Everything here is grounded in published vendor documentation plus observational research, with the same checks our auditor runs against your site.
AI search is a moving target: crawler behaviour, citation surfaces and the structured-data signals models trust all shift quarter to quarter. Rather than chase every rumour, we focus on durable fundamentals and back claims with what vendors actually document — flagging clearly when guidance is high-confidence versus inferred. Expect practical checklists, honest comparisons, the occasional data study, and build-in-public notes on how we keep this very site at a perfect AI visibility score. New posts land on a steady cadence; subscribe via RSS or follow along on social to catch each one.
All posts
- 7 min read
Why AI assistants ignore your site
The six concrete reasons ChatGPT, Claude, Gemini and Perplexity skip your pages — blocked bots, JS-only content, thin structure — and the fastest fix for each.
AI visibilityAEOGEOtroubleshootingRead the post → - 7 min read
robots.txt for AI crawlers, done right
Which AI bots to name in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended…), the directives that work, the silent CDN traps, and how to verify it.
robots.txtGPTBotAI crawlerscrawlabilityRead the post → - 7 min read
llms.txt explained: the AI-era site map
What /llms.txt is, the exact format AI assistants expect, where to put it, how it differs from robots.txt and sitemap.xml, and whether it is worth adding in 2026.
llms.txtAEOAI visibilitystructured contentRead the post → - 7 min read
Get cited by ChatGPT, Claude & Perplexity
A practical, no-fluff checklist for making your site quotable by AI assistants in 2026: crawlability, JavaScript rendering, schema, llms.txt, and how to measure it.
AI visibilityAEOGEOllms.txtGPTBotRead the post →
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