Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Voxel Energy's AEO readiness is currently low, with an overall score of 23/100 and foundational machine-consumption signals missing across key areas. The site has no `llms.txt` (404), no JSON-LD structured data, and no FAQ content/schema, which limits AI systems' ability to reliably interpret and cite the brand. Core discoverability hygiene is mixed: canonical strategy is strong (10/10) and sitemap/robots are present, but there are no `lastmod` dates, no RSS/Atom feed, and no explicit AI crawler directives. Content includes measurable factual density (7/10 with 147 quantitative points), but weak answer formatting and absent entity/author signals reduce extraction and trust outcomes.
Scoreboard
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Top Opportunities
Improve Your Score
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.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
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