Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.
Verdict
Critical AEO gaps at 44/100 - faception.com is largely invisible to AI engines. Key strengths include Schema.org Structured Data, Internal Linking Structure, and Fact & Data Density. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.
How to Improve
Top Opportunities10
Fix It With AI41
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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