Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
SaaS & ProductivityProject ManagementVerdict
atpatchwork.com scores 27 out of 100 on AEO readiness, placing it well below the threshold for reliable AI-engine visibility. The site has genuine bright spots — strong definition patterns (7/10), solid author schema with Person markup and social links (7/10), and good factual data density with 10 quantitative data points on the homepage (7/10) — but these are undermined by critical infrastructure gaps: no HTTPS, no robots.txt, no canonical URLs, no llms.txt, and no content freshness signals. In practical terms, AI models may struggle to confidently cite or surface atpatchwork.com because the site lacks the trust signals and machine-readable scaffolding that modern LLM pipelines rely on.
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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.
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.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
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