Weak AI visibility with 26 of 48 criteria passing. Biggest gap: q&a content format.
Energy & CleantechEnergy TechnologyVerdict
Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include llms.txt File, Fact & Data Density, and Canonical URL Strategy. Priority gaps: Q&A Content Format, Speakable Schema, and Query-Answer Alignment.
How to Improve
Top Opportunities10
Fix It With AI43
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Guides for the criteria with the most room for improvement
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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.
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.
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