Weak AI visibility with 9 of 22 criteria passing. Biggest gap: schema.org structured data.
Verdict
cloudchipr.com has a solid technical base for AI discovery but limited answer extractability, with an overall AEO score of 43/100. The strongest signal is a well-formed `llms.txt` (10/10), plus strong internal linking (8/10) and fact density (9/10), which gives AI systems usable crawl and context depth. However, zero schema coverage (0/10 for Schema.org and 0/10 for Schema Depth), missing definition patterns (0/10), and weak direct-answer formatting (2/10) materially constrain citation and snippet eligibility. The site is positioned for fast gains if structured data, answer-first content patterns, and freshness signals are implemented in the next cycle.
Scoreboard
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Guides for the criteria with the most room for improvement
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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
AI engines don't read your article top to bottom. They scan headings, grab the first 1-2 sentences underneath, and move on. If those sentences are throat-clearing preamble instead of a direct answer - you just lost a citation to someone who leads with the point.
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