Weak AI visibility with 32 of 48 criteria passing. Biggest gap: speakable schema.
Finance & PaymentsAccountingVerdict
Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: Speakable Schema, Evidence Packaging, and Entity Disambiguation. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.
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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.
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.
AI can't see your images. It reads the markup around them. A product photo with alt="image1.jpg" tells AI nothing. A figure with a descriptive figcaption and 8-word alt text tells AI exactly what it's looking at - and that context feeds directly into citation decisions.
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