Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
circleback.ai has a usable technical base for indexing (HTTPS enabled, robots.txt and sitemap both returning 200, and a strong canonical setup), but overall AEO readiness is low at 21 because core machine-readable signals are missing. The site currently has no `llms.txt` (404), no JSON-LD schema blocks, no `ai.txt`, and no RSS/Atom feed, which limits AI engines' ability to confidently classify and cite content. Content volume and factual density are strong (146 quantitative data points), yet extractability is weak due to no Q&A heading structure, no definition patterns, only 9 internal links, and missing semantic/accessibility basics like `lang`, `main`, and image alt text. In short, Circleback has enough content to win citations, but it needs structured formatting and policy-layer signals to become AI-visible.
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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.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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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