# How GEOrgina audits a webpage

## What is a GEO page audit?

A GEO page audit assesses how well a single live page can be retrieved, understood, trusted and cited by AI answer engines. It examines the signals a language model relies on when deciding whether a page is a usable source.

## How does GEOrgina audit a webpage?

The partner pastes a public URL into the audit tab or sends it to GEOrgina in chat. GEOrgina fetches the served HTML, runs deterministic checks, weights them into a score out of 100 and writes a short verdict in the partner's language. The same page produces the same score, so progress between audits is comparable.

## What does GEOrgina check on a page?

- Machine readability: a single clear H1, logical heading hierarchy, semantic HTML, title and meta description, and text present in the served HTML rather than only after JavaScript runs.
- Entity and trust signals: structured data, a clear statement of who the organisation is, authorship, contact and identity signals, and consistency between visible copy and structured data.
- Answerability: question-shaped headings, direct answers in the first paragraph, self-contained sentences and factual specifics.
- AI-engine crawlability: canonical URL, indexable robots directives, reachable robots.txt and sitemap, internal links, and no blocking of AI search user agents.

## What does a partner get from an audit?

A score out of 100, a category breakdown, an ordered list of findings and a link from each finding to the roadmap task that resolves it. Audits are stored so a URL can be re-audited after a fix.

## What happens with JavaScript-heavy pages?

If important content only appears after client-side rendering, GEOrgina flags it, because an AI engine reading the served HTML may never see that text.

Source page: https://georgina.app/page-auditing