Weak AI visibility with 12 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
constructable.ai has a mid-tier AEO baseline at 49/100, with strong technical foundations in structured data (10/10), internal linking (8/10), and sitemap completeness (8/10). However, core AI-discovery controls are missing, including llms.txt (0/10), RSS/Atom feed (0/10), AI permissions/licensing signals (0/10), and canonical URL tags (0/10). Content can be crawled and indexed, but weak freshness and authority signals (Content Freshness 2/10, Fact/Data Density 2/10, Author/Expert Schema 2/10) limit extractability and trust for AI-generated answers. Closing these gaps would materially improve how confidently LLMs cite and summarize Constructable’s content.
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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.
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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