Moderate AI visibility with 23 of 48 criteria passing. Biggest gap: speakable schema.
Marketing AutomationMarketing & AdvertisingVerdict
Below-average AEO readiness at 50/100 - multiple areas need attention. Key strengths include llms.txt File, Internal Linking Structure, and Table & List Extractability. Priority gaps: Speakable Schema, Query-Answer Alignment, 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.
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 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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