Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
rally.tax has foundational technical signals in place, including HTTPS, a valid self-referencing canonical URL, and a healthy sitemap with 144 indexed URLs, but its overall AEO readiness is low due to major discoverability and extractability gaps. The site has only basic schema coverage (Organization and WebSite) and lacks critical AI-facing files like /llms.txt (404) and /ai.txt, along with explicit AI crawler directives in robots.txt. Content structure is also under-optimized for answer engines, with no H1, no question-format headings, no direct-answer paragraph patterns, and no internal links detected on the homepage. In short, Rally has indexable infrastructure but is missing the structured content and governance signals AI systems rely on for confident citation.
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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.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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