Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Arzule.com shows foundational technical hygiene but low AEO readiness, with an overall score of 34/100. Core discoverability controls are missing, including llms.txt (0/10), structured data/schema depth (0/10), FAQ coverage (0/10), and definition patterns (0/10), which limits machine understanding of content. Strengths include canonical strategy (10/10), clean crawlable HTML (9/10), and strong entity foundations (8/10), but these are outweighed by weak freshness and publishing signals (2/10 each). The site has substantial factual density (185 quantitative points; 7/10), so the fastest path is packaging existing content into AI-readable formats.
Scoreboard
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Improve Your Score
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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