Your site reads fine to humans — and poorly to machines
A page can look great and still be opaque to an engine: no schema, thin structure, no machine-readable facts, missing the topics the model needs. Human polish and machine legibility are two different things.
Structure engines can't parse
Weak headings, missing schema and no llms.txt make your pages hard for a model to read and reuse.
Content gaps
The questions buyers ask the model aren't answered clearly anywhere on your site.
No single score
You have no read-out of how machine-legible your site actually is, or where to start.
Score and fix your machine-readability
Deep crawl
Aurvikon crawls your site and inspects structure, metadata, schema and internal linking the way an engine would.
llms.txt + structure
Check for machine-readable fact surfaces and clean structure — the signals that make a page easy to cite.
Content-gap detection
Find the buyer questions your site doesn't answer well, the pages worth writing to get cited.
A health score
Get one clear score for machine-readability plus the prioritised fixes to raise it.
How it works
01
Crawl your site
Aurvikon inspects your pages for the structure and signals engines rely on.
02
Score & find gaps
Get a machine-readability score and the specific structural and content gaps.
03
Fix and re-crawl
Ship the fixes and generated schema, then re-crawl to confirm the improvement.
What's inside
Deep site crawl (SSRF-safe)
Structure & metadata scoring
Schema & llms.txt checks
Content-gap detection
Machine-readability health score
Questions, answered honestly
Is the crawl safe for my site?
Yes. It's a read-only crawl with guards in place; it inspects your public pages the way a well-behaved bot would.
What is llms.txt?
An emerging convention — a plain-text file that gives AI systems a clean, machine-readable summary of your site's key facts and pages. Aurvikon checks for it and can help you produce one.
How is this different from a normal SEO crawler?
It scores for machine legibility and citability by AI engines — schema, structured facts, answerability — not just classic on-page SEO signals.
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