Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
runparagon.com has a solid technical base for AI discoverability, with HTTPS enabled, crawlable semantic HTML, and two JSON-LD blocks using Organization and WebPage schema. It also has a valid sitemap with 11 indexed URLs and lastmod fields, plus a good internal link foundation (13 homepage internal links). However, core AEO control files and answer-oriented content are missing: `/llms.txt`, `/robots.txt`, `/ai.txt`, `/faq`, direct Q&A formatting, and FAQ schema are absent (404 or not found). Overall, the site is structurally competent but not yet optimized for AI citation workflows, which is why readiness remains constrained despite strong baseline web hygiene.
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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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
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