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 Internal Linking Structure, Canonical URL Strategy, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Speakable Schema, and Evidence Packaging. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.
How to Improve
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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.
Voice assistants need to pick which paragraph to read aloud from your page. Without Speakable markup, they guess -and they frequently guess wrong, reading your cookie notice.
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.
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.
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