GeoVector AI Visibility Lab

Illustrative service page

Start with what the page can prove.

This demo audit examines public pages, their existing metadata, and their structured data before any annotation is proposed.

Audit scope

A practical baseline for a public website.

An audit begins with a crawl of publicly accessible, canonical pages. It identifies the material a visitor can see, the information already exposed to machines, and any places where an annotation could contradict the page or duplicate existing markup.

  • Page titles, descriptions, canonicals, and robots directives
  • Existing JSON-LD, Microdata, and RDFa markup
  • Visible entity facts, headings, FAQs, authorship, and navigation
  • Conflicts, duplicates, invalid syntax, and missing required properties

What a review produces

Evidence before delivery.

The prototype keeps the review record explicit so a future delivery adapter has a precise, reversible input.

A

Coverage record

The URL, canonical URL, fetch outcome, content type, and crawl time establish what was actually inspected.

B

Candidate record

The proposed type, properties, evidence links, validation result, and reviewer decision remain attributable to one page.

C

Delivery record

An immutable version identifier lets a verifier distinguish a baseline response from an annotated response.