When an AI agent cannot read your page, it still gives an answer about you
Blocked fetches, challenge pages and consent walls do not produce errors in AI agents. They produce confident verdicts on empty input. How to test for it.
THE AGENTREADY JOURNAL
Guides to crawler access, readable HTML and structured product information, based on findings from AgentReady Check. Includes scan data and explanations of the standards behind the checks.
Blocked fetches, challenge pages and consent walls do not produce errors in AI agents. They produce confident verdicts on empty input. How to test for it.
Where UCP, ACP and AP2 stand after ChatGPT Instant Checkout was retired, and how browser agents see your buy button. With a checklist.
Agents shortlist in code and pick with decision models. Which product fields decide whether you are a candidate at all, with a JSON-LD example.
How Cloudflare revised its bot-traffic forecast, what the earlier crossover means, and how website owners can respond.
How product facts, published prices and comparisons help an agent assess your business, and what that means for brand communication.
Robots.txt rules for GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended, with checks for blocks in your CDN.
Check the HTML your server delivers and fix content that crawlers miss when they skip JavaScript.
What belongs in an llms.txt file, how it differs from robots.txt and sitemap.xml, and what is known about adoption.
How page markup uses a model's context space, and what changes when a page is served as Markdown.
This page as Markdown: /blog.md · Feed: /blog/rss.xml