Weak AI visibility with 26 of 48 criteria passing. Biggest gap: llms.txt file.
Verdict
Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Internal Linking Structure, and Sitemap Completeness. Priority gaps: llms.txt File, Answer-First Placement, and Entity Disambiguation. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.
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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.
AI engines give your page about 300 words to prove it has the answer. Sites that open with "In today's rapidly evolving landscape..." waste that window. Sites that open with the answer win the citation. We track this across every audit - and the gap is brutal.
You say "Mercury" on your homepage. The planet? The element? The banking startup? AI doesn't know - and when it can't tell, it doesn't cite. Entity disambiguation is how you draw clear lines around what your business is and isn't.
A statistic without a source is a liability. A claim without attribution is invisible. We track evidence packaging across every audit and the pattern is clear - sites that cite their sources get cited by AI. Sites that state facts without attribution get skipped.
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