Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: llms.txt file.
Verdict
Below-average AEO readiness at 58/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Original Data & Expert Analysis, and Sitemap Completeness. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment.
How to Improve
Top Opportunities10
Fix It With AI37
Score Breakdown
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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.
You wrote a 3,000-word guide on "customer support automation." But people ask AI "how do I reduce support ticket volume?" If your content doesn't match the actual queries, AI can't connect the dots.
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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