The Problem
SEO tools optimize for Google. But the search landscape is shifting. ChatGPT, Perplexity, Google AI Overviews, and other AI-powered search engines are changing how users find information — and they use fundamentally different ranking signals.
Traditional SEO checkers know nothing about entity density, citation patterns, source attribution, or structured data formats that AI search engines prioritize when deciding what content to cite. Content teams optimizing for the next generation of search had no tooling.
The Solution
GEO Lint is the first open-source linter purpose-built for Generative Engine Optimization. It checks content against 92 rules covering the signals AI search engines actually use to decide what to cite — from entity density and FAQ schema to citation patterns and structured data.
Run it from the command line with npx geo-lint, get actionable feedback in seconds, and integrate it into any workflow.
Features
92 Linting Rules
Comprehensive rule coverage across four categories: GEO-specific optimization (entity density, citation patterns, source attribution), traditional SEO signals, content quality checks, and internationalization (i18n) validation.
CLI-First Design
Run npx geo-lint against any content file or URL. No accounts, no dashboards, no configuration required to get started. Choose between human-readable text output or machine-parseable JSON.
Rule Categories
Rules are organized into logical groups: entity density analysis, citation pattern detection, structured data validation, FAQ schema checks, source attribution scoring, and more. Enable or disable categories to match your content strategy.
Configurable Rule Sets
Not every rule applies to every project. Define custom configurations to enable, disable, or adjust severity for individual rules. Share configurations across teams for consistent standards.
CI/CD Integration
Non-zero exit codes on rule failures make GEO Lint a natural fit for automated pipelines. Run it as a pre-commit hook, a pull request check, or a scheduled content audit.
Open Source (MIT License)
Fully open source with an MIT license. Inspect the rules, contribute new ones, fork for internal use, or embed in commercial products. No restrictions, no vendor lock-in.
Results
- 92 rules covering GEO, SEO, content quality, and i18n in a single tool
- First-mover as the only open-source linter specifically targeting AI search engine optimization
- Zero-config start — run
npx geo-lintand get results immediately - Adopted by content teams shifting their optimization strategy from traditional SEO to GEO as AI search engines capture growing market share
