Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
silimate.com has a low AEO readiness score of 24/100, with critical machine-readability gaps across the highest-leverage signals. Foundational AI-discovery assets are missing, including llms.txt (0), Schema.org structured data (0), schema depth (0), RSS/Atom feed (0), and AI permissions/licensing signals (0). The site does show some strengths, including canonical URL strategy (10/10), fact/data density (8/10), and baseline crawl access via robots.txt and sitemap (both 5/10). However, weak answer formatting, poor semantic structure, and limited internal linking (6 links) materially reduce extractability for AI systems.
Scoreboard
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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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