Weak AI visibility with 23 of 48 criteria passing. Biggest gap: speakable schema.
Developer Tools & InfrastructureSecurity & ComplianceVerdict
Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include llms.txt File, Internal Linking Structure, and Fact & Data Density. Priority gaps: Speakable Schema, Query-Answer Alignment, and Entity Disambiguation.
How to Improve
Top Opportunities10
Fix It With AI41
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Guides for the criteria with the most room for improvement
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.
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.
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