Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
fixpoint.co has a solid technical base for crawlability, but it is not yet AEO-ready at the entity and machine-readability layers. The site serves clean, accessible HTML over HTTPS, includes semantic structure, and exposes a valid sitemap/robots setup, but it lacks foundational AI-discovery assets like `/llms.txt` (404), JSON-LD schema (0 blocks), canonical tags, and an FAQ surface. With only 5 internal links, 2 sitemap URLs, no RSS feed, and limited direct-answer formatting, AI engines get too little structured context to reliably cite the brand.
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Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
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