Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
jualpropertiserpong.com currently has low AEO readiness at 23/100, with 9 of 22 criteria scoring zero and several foundational machine-consumption gaps. The strongest technical signals are canonical URL strategy (10/10) and sitemap completeness (8/10 with 47 URLs and 47 lastmod values), but these are outweighed by missing llms.txt, missing JSON-LD schema, and no FAQ architecture. Content extractability is also weak for answer engines, with no H1, no question-format headings, poor direct-answer paragraph performance (2/10), and no freshness metadata. AI discoverability is further constrained because both GPTBot and ClaudeBot are explicitly blocked in robots.txt.
Scoreboard
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Top Opportunities
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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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.
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We build citation-ready content that AI engines choose as the answer.