A GEO (Generative Engine Optimization) Audit analyzes your content for AI search citability. It scores how likely ChatGPT, Perplexity, and Claude are to cite your content and provides recommendations to improve visibility.

How is GEO different from traditional SEO?

Traditional SEO optimizes for search engine rankings. GEO optimizes for AI citations. AI models prefer content with clear facts, authoritative sources, structured data, and comprehensive topic coverage.

How long does a GEO Audit take?

A GEO Audit typically completes in under 60 seconds. You receive a comprehensive report with your GEO score, citability metrics, and specific recommendations to improve.

Stage 3 — Page Diagnosis

GEO Audit

Name: GEO Audit (Stage 3)
Availability: ComingSoon
Author: Semantiz

Diagnose before the system builds

Prism audits every page across 10 dimensions for citability, entity coverage, evidence, and structure. The diagnosis feeds directly into Forge so content is built right.

I'm Prism. I'm Stage 3. Once the knowledge graph exists and Scout has mapped the gaps, I audit every page across 10 scientific dimensions from Princeton KDD 2024. I tell Forge exactly what to fix in each article — with evidence, not opinions. The system builds content right the first time because I diagnose before Forge writes.
Prism / Stage 3

The problem

You can rank and still get zero AI citations

Teams often know a page matters but cannot see why AI still skips it. Without evidence by dimension, every fix is guesswork.

Top-ranking pages never get mentioned by ChatGPT or Perplexity

No shared view of what makes a page citable in AI search

Editorial, SEO, and product teams do not know what to fix first

Weak evidence, thin coverage, and poor structure get mixed together

4 layers

of evidence behind every diagnosis

Workflow

How GEO Audit works

Capture the page

Semantiz extracts the page, normalizes the content, and prepares it for AI visibility analysis.

Evaluate citability signals

Review structure, claims, sources, entity coverage, and supporting context as one diagnostic.

Prioritize the next fixes

Get a score, the evidence behind it, and a ranked list of what your team should change first.

What you get

Move from score to evidence

A diagnostic layer built for operational decisions, not generic reporting.

Citability score

Estimate how ready a page is to be trusted and cited by AI assistants.

Evidence by dimension

See which signals are strong, weak, or missing before you rewrite anything.

Prioritized fixes

Turn a diagnostic into a clear execution queue for the team.

Cluster context

Read the page inside its topic cluster instead of treating it in isolation.

Methodology

Structured around authority, evidence, and coverage

Our audit framework combines AI search research with semantic SEO principles so teams can see what is breaking citability at page level.

Princeton KDD 2024

Evaluation framework grounded in peer-reviewed research from Princeton University.

Semantic SEO (GIST)

Advanced topical authority and entity coverage principles.

Diagnosis feeds directly into content creation

Prism diagnoses. Forge builds. Every fix is grounded in evidence, not guesswork.

Next in the pipeline

Stage 1 — The Blueprint Stage 4 — Content Builder Stage 5 — Citation Tracking

GEO Audit

Diagnose before the system builds

Prism audits every page across 10 dimensions for citability, entity coverage, evidence, and structure. The diagnosis feeds directly into Forge so content is built right.

I'm Prism. I'm Stage 3. Once the knowledge graph exists and Scout has mapped the gaps, I audit every page across 10 scientific dimensions from Princeton KDD 2024. I tell Forge exactly what to fix in each article — with evidence, not opinions. The system builds content right the first time because I diagnose before Forge writes.