geo-audit

Score any web page for LLM visibility in 5 seconds. No installs, no API keys, pure Python.

What it is

A CLI tool that fetches a URL and runs a 20-point GEO (Generative Engine Optimization) audit — the checks that determine whether ChatGPT, Perplexity, Gemini, and Claude will cite your page in their answers.

Why it exists

Traditional SEO tools optimize for ranking algorithms. GEO is different: AI search engines decide what to cite and summarize based on entity clarity, structured data, and citation-friendliness — not keyword density. This tool makes those signals visible.

What's inside

geo-audit.py     — the entire tool (stdlib only, ~200 lines)

Quick start

# Audit any URL
python3 geo-audit.py https://yoursite.com

# Machine-readable output
python3 geo-audit.py https://yoursite.com --json

Example output:

# GEO Audit Report: https://example.com
**AI SEARCH VERDICT:** The page demonstrates D-grade optimization.

## Audit Scores
⚠️ Entity Clarity:           3/5
❌ Citation-friendliness:    0/5
❌ Structure for extraction:  1/5
❌ Structured data coverage:  0/5

TOTAL SCORE: 4/20 | GRADE: F

## Recommended Fixes
- Entity: Ensure H1 matches Page Title and Meta Description for topic reinforcement.
- Citation: Add specific data points, dates, or author attribution to build trust signals.
- Structure: Use nested H2-H3 tags to create a query-responsive outline.
- Schema: Implement JSON-LD (Article, FAQ, or Product) to help LLMs parse your metadata.

The 4 dimensions scored

Grading: A (17–20) · B (14–16) · C (11–13) · D (8–10) · F (<8)

Requirements

• Python 3.6+
• No pip installs — zero dependencies

Built by Ben · nightly prototype loop · 2026-05-22