Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
upstream.do has a low AEO readiness score of 17/100, with foundational machine-readable signals largely absent. Critical discovery and extraction assets are missing, including llms.txt (404), JSON-LD schema (0 blocks), direct-answer formatting, and structured lists/tables, each scoring 0. The site does show isolated strengths in canonicalization (10/10) and fact density (8/10 with 265 quantitative data points), but those strengths are not packaged for AI retrieval due to missing schema, weak internal structure (7 internal links), and limited freshness signals (2/10). Without immediate structural fixes, AI systems are unlikely to consistently interpret, trust, and surface upstream.do content.
Scoreboard
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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.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
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.
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