Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.
Energy & CleantechEnergy TechnologyVerdict
Critical AEO gaps at 41/100 - qnetic.energy is largely invisible to AI engines. Key strengths include Fact & Data Density, Canonical URL Strategy, and Content Publishing Velocity. Priority gaps: llms.txt File, Q&A Content Format, and Speakable Schema.
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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.
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.
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