Engines guess when your facts aren't structured
If your category, product and pricing live only in prose, a model has to infer them — and inference is where hallucinations start. Structured data removes the guesswork, but hand-writing valid schema is fiddly and easy to get wrong.
Unstructured facts
Your key facts are buried in paragraphs a machine can misread instead of clean, labelled data.
Schema is fiddly
Valid JSON-LD is precise and error-prone by hand — one wrong field and it's ignored.
Templates lie
Copy-paste schema with placeholder values is worse than none — it tells the engine the wrong thing.
From your page to valid schema, automatically
Read from real pages
Aurvikon extracts your actual name, description, products and FAQs — the schema reflects your site, not a generic stub.
The right types
Generate Organization, WebSite, Product and FAQPage JSON-LD — the types engines and search actually use to understand you.
Valid + ready
Output is clean, standards-compliant JSON-LD you can paste into your head or CMS and ship immediately.
Tied to the plan
Schema shows up as a concrete recommendation where it will move your entity clarity most.
How it works
01
Point at a page
Aurvikon reads the real content of the page you want to mark up.
02
Generate the JSON-LD
Get valid Organization / Product / FAQ schema built from that page's actual facts.
03
Ship it
Paste it into your site head or CMS, then re-scan to track the entity-clarity lift.
What's inside
Organization & WebSite schema
Product & Offer schema
FAQPage schema from real Q&A
Generated from your live pages
Valid, copy-ready JSON-LD
Questions, answered honestly
Is the schema based on my real content?
Yes. It's generated from your actual pages — your name, descriptions, products and FAQs — not a placeholder template with dummy values.
Where do I put it?
In your page's head as a JSON-LD script, or via your CMS's structured-data field. It's standard schema.org markup.
Will this get me cited?
Schema improves how clearly machines understand you, which helps — but it's one input among several. We measure the effect on your next scan rather than promise a guaranteed outcome.
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