GEO Scoring Categories
Glippy evaluates websites across 10 categories, each measuring a different aspect of AI and LLM readiness.
Generative Engine Optimization measures how well your website is prepared for AI crawlers, LLM-powered search engines, and AI agents. Higher GEO scores mean AI systems can better understand, cite, and interact with your content.
How Scoring Works
- Each category produces a score from 0-100
- The overall score is calculated from all category scores
Letter Grades
Category Details
1 Structured Data & Schema
Measures the presence and quality of machine-readable structured data that helps AI systems understand your content's meaning and context.
What we check
- JSON-LD presence and validity
- Schema.org types (FAQPage, Article, Product, HowTo, etc.)
- Speakable markup for voice assistants
- Schema validation and completeness
Why it matters
Structured data is the primary way AI systems extract facts and relationships from web pages. High-quality schemas dramatically improve how AI cites and represents your content.
2 Semantic HTML
Evaluates the use of meaningful HTML elements that convey document structure and content hierarchy to AI parsers.
What we check
- Proper heading hierarchy (H1-H6)
- Semantic elements (
<article>,<nav>,<main>,<section>) - Content-to-markup ratio
- Logical document outline
Why it matters
AI systems parse HTML structure to understand content relationships. Proper semantic markup helps LLMs identify main content, navigation, and content sections.
3 Accessibility for Agents
Checks accessibility features that help both human assistive technologies and AI agents understand your content.
What we check
- Lang attribute on HTML element
- Alt text on images
- ARIA labels and roles
- Descriptive link text (not "click here")
Why it matters
Accessibility features provide crucial context that AI systems use to understand images, interactive elements, and content purpose. What's good for screen readers is often good for AI.
4 Internal Linking
Analyzes how well your site's pages are connected and how clearly the link structure conveys content relationships.
What we check
- Link density and distribution
- Navigation structure clarity
- Breadcrumb markup
- Related content links
Why it matters
AI crawlers use internal links to discover content and understand topical relationships. Clear linking helps AI systems map your site's knowledge graph.
5 Meta & Discoverability
Evaluates metadata that helps AI systems understand and properly attribute your content.
What we check
- Title tag presence and quality
- Meta description
- Canonical URL
- Open Graph and Twitter Card tags
- Hreflang for internationalization
Why it matters
Metadata provides context that AI uses when summarizing, citing, and categorizing your content. Good metadata improves how AI represents your pages.
6 Machine Readability
Measures technical factors that determine whether AI systems can access and process your content.
What we check
- Server-side rendering (SSR) vs. client-only JS
- Bot blocking mechanisms
- Robots.txt rules for AI crawlers (GPTBot, ClaudeBot, etc.)
- llms.txt file presence and contents
Why it matters
If AI crawlers can't access or render your content, nothing else matters. This category ensures your technical setup doesn't block AI systems.
7 Entity & Authority
Checks for signals that help AI systems understand who created the content and establish trustworthiness.
What we check
- Author information and bylines
- Publication dates
- Organization schema
- About and contact information
Why it matters
AI systems increasingly consider source authority when deciding what to cite. Clear authorship and organizational identity help establish trust.
8 Citability & Answer-Readiness
Evaluates how well your content is formatted for AI systems to extract and cite specific answers.
What we check
- FAQ content with clear Q&A format
- Data tables with headers
- Well-structured lists
- Lead paragraph quality (answering who/what/when/where)
Why it matters
LLM-powered search engines prefer content they can easily quote. FAQ sections, tables, and clear lead paragraphs make your content more likely to be featured in AI answers.
9 Performance & Crawlability
Measures factors affecting how efficiently AI systems can crawl and process your pages.
What we check
- Image dimensions specified in HTML
- Lazy loading implementation
- Resource hints (preload, prefetch)
- Page size and complexity
Why it matters
While less critical than content quality, performance affects crawl efficiency. Faster, lighter pages are more likely to be fully indexed.
10 Agent Interactivity
Evaluates support for AI agents that can take actions on behalf of users.
What we check
- WebMCP tools and endpoints
- Form annotations and labels
- Agent-callable actions
- API documentation presence
Why it matters
This is an emerging category as AI agents become more capable. Sites that support programmatic interaction will have advantages as agent-based browsing grows.