Test Your Website's Visibility in AI Search Engines
GEO detection tool empirically validated by top academic papers. Enter a URL to get a 0-100 score and optimization recommendations
GEO (Generative Engine Optimization) refers to the strategy system for optimizing content visibility for AI search engines like ChatGPT, Perplexity, and others. According to empirical research published in KDD 2024 by researchers from Princeton University and Georgia Tech, AI search is reshaping how people access information — as of 2025, over 750 million users worldwide get information through AI assistants. Traditional SEO cannot guarantee being cited in AI answers. GEO Scanner detects 12 categories and 60+ metrics, providing optimization recommendations based on empirical research from multiple top papers.
"In the generative engine era, traditional SEO keyword stuffing strategies cause 8-10% visibility decline, while adding expert quotations brings +41% visibility improvement, and source citations produce +115.1% visibility leap for low-ranking websites." —— KDD 2024 Paper "Is ChatGPT Good at Search?"
"AI search engines significantly prefer third-party authoritative sources (Earned Media) over brand-owned content. Topic relevance and list position are the most critical factors determining whether content gets cited." —— Competitive GEO Research Papers (2025-2026)
Generate llms.txt
Generate standard-compliant llms.txt files for any website to help AI better understand website content
Scan History
Generate llms.txt
Generate standard-compliant llms.txt files for any website following the llmstxt.org standard, helping AI search engines (ChatGPT, Perplexity, etc.) better understand your website content and improve AI citation rates.
About llms.txt
llms.txt is a standardized file similar to robots.txt, placed in the website root directory. It uses Markdown format to provide AI with a structured overview of the website, helping AI models quickly and accurately understand website content.
As AI search becomes the mainstream way to access information, websites need to proactively provide structured content guidance to AI models. llms.txt can significantly improve AI's understanding accuracy and citation probability of your website content.
Includes site name, description, core page navigation (with links and descriptions), main features/services introduction, contact information, etc. AI can quickly establish a complete understanding of the website when visiting.
GEO Scanner Methodology
Complete Guide to Generative Engine Optimization
What is GEO
GEO (Generative Engine Optimization) is a content optimization strategy for AI search engines and large language models. Unlike traditional SEO (Search Engine Optimization) which focuses on ranking in search results pages, GEO's goal is to have your content directly cited in AI model answers.
Core differences between GEO vs SEO:
- SEO: Optimize keyword density, backlink count, page authority, pursue high ranking in SERP
- GEO: Optimize content structure, authority, citability, pursue being extracted and cited by AI models
- Core Difference: SEO targets crawler algorithm ranking, GEO targets LLM knowledge retrieval and generation logic
Scoring System Explanation
12 Detection Categories & Weights:
Grade Mapping (A-F):
Detection Item Scoring Mechanism:
12 Detection Dimensions Explained
- robots.txt configuration allows AI crawler access
- XML sitemap availability
- Page accessible without JavaScript
- No soft 404 or redirect chain issues
- Semantic HTML structure (h1-h6 hierarchy)
- Schema.org structured data markup
- Clear heading and paragraph organization
- Language markup and encoding correctness
- FAQ/QA format content ratio
- Clear question-answer pairing
- Definitions, steps, lists and other extractable formats
- Concise direct conclusive statements
- Author attribution and source information
- Publication date and update date labeling
- Standard citation format support
- Unique perspectives and data support
- HTTPS secure connection
- About us/contact page completeness
- External authoritative source citations
- E-E-A-T signal presentation
- Content length and information density
- Multi-angle topic coverage
- Includes specific data and cases
- Clear terminology explanations
- Content last update time
- Copyright year is up to date
- Time-sensitive content date-labeled
- Regular update mechanism
- Expert quotations (+41% improvement)
- Statistics (+30~40% improvement)
- Source citations (+115% for low-ranking)
- Fluency optimization (+24% improvement)
- Social proof and user reviews (AI prefers third-party reviews)
- Third-party authoritative source (Earned Media) identification
- Marketing language usage assessment
- Information density and value proposition clarity
- International AI crawler adaptation
- English content quality and structure
- Global authoritative source citations
- Multilingual and hreflang configuration
- LLMS.txt configuration file
- Human review labeling for AI-generated content
- Content blocks suitable for summary extraction
- No AI-unfriendly anti-crawl mechanisms
- Page loading speed
- Mobile-friendliness
- No intrusive ads/popups
- Core Web Vitals metrics
GEO Optimization Best Practices
Use clear heading hierarchy (H1-H3), lists, tables, FAQ sections. Place core conclusions at the beginning of each paragraph so AI models can quickly extract key information.
Add Article, FAQPage, HowTo, Product and other schema markup to help AI understand content types and key entity relationships.
Create llms.txt in the website root directory to provide content guidance, sitemap and usage instructions for AI crawlers, similar to robots.txt for search engines.
Reference industry expert viewpoints, add specific data and percentages. According to KDD 2024 paper, these two strategies bring +41% and +30~40% visibility improvements respectively.
Show author qualifications, publishing organization information, citation sources, publication dates and update records to increase content credibility and citation probability.
Predict questions users may ask, organize content in "question + direct answer + detailed explanation" format, matching AI answer generation logic.
Don't block AI crawler User-Agents like GPTBot, ClaudeBot, etc. in robots.txt.
Regularly update content and label update dates. AI models tend to cite the latest information, and outdated content has significantly lower citation probability.