Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
axionorbital.space has foundational technical hygiene in place (HTTPS enabled, robots.txt and sitemap.xml both returning 200, and a self-referencing HTTPS canonical), but it is not yet AEO-ready at a competitive level. The site currently exposes only one JSON-LD block with `Organization` and no `FAQPage` or `Person` schema, limiting machine-understandable depth. Critical discoverability assets are missing, including `llms.txt`, `ai.txt`, RSS/Atom feed support, and any meaningful internal linking from the homepage. Content is also difficult for AI extraction because there is no H1, no question-format headings, no direct Q&A blocks, and no list/table structures.
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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.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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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