GEOScore
AI search visibility scanner that checks how your website performs in AI search engines (ChatGPT, Perplexity, Gemini). Runs 11 technical checks for generative engine optimization (GEO).
What is GEOScore?
GEOScore is an AI search visibility scanner designed to help websites measure and optimise their presence across AI-powered search engines like ChatGPT, Perplexity, Claude, and Google Gemini. As generative AI engines increasingly provide direct answers to user queries, traditional search visibility metrics have become incomplete. GEOScore addresses this gap by running 11 technical checks focused on generative engine optimization (GEO), a emerging discipline parallel to SEO. The tool delivers results in under 60 seconds, allowing website owners to understand whether their content is discoverable by AI models and where they stand relative to competitors in the AI search landscape. With 40% of searches now generating AI-powered answers, GEOScore helps businesses identify visibility gaps and take action before losing traffic to AI-recommended competitors.
Key Features
11-point technical audit
Runs automated checks specifically designed to evaluate how AI search engines crawl and rank your content
60-second scan
Quick assessment provides immediate insights into your AI search visibility without requiring extensive setup
Multi-engine coverage
Evaluates performance across ChatGPT, Perplexity, Gemini, and Claude to provide thorough AI search visibility data
Generative engine optimization (GEO) focus
Identifies technical factors that influence whether your site appears in AI-generated answers
Competitive benchmarking
Shows how your visibility compares within your industry and against competitors in AI search results
Actionable recommendations
Provides specific optimization suggestions to improve visibility in AI search engines
Pros & Cons
Advantages
- Addresses emerging need: Fills a critical gap as AI search gains market share and traditional SEO metrics become insufficient
- Fast and accessible: Delivers results in 60 seconds with a freemium model, making it easy to test without commitment
- Focused methodology: Specialized checks for GEO are more relevant than generic SEO tools for AI engine optimization
- Multi-platform coverage: Scans visibility across multiple AI search engines simultaneously rather than single-engine analysis
Limitations
- Nascent field: Generative engine optimization best practices are still changing; recommendations may lack long-term validation
- Limited context on weighting: Unclear which of the 11 checks carry more importance or how results translate to actual traffic impact
- AI engine dependency: Results depend on how AI engines choose to crawl and index; factors beyond optimization may affect visibility
Use Cases
Content marketers evaluating whether their published content appears in AI-generated answers about their industry topics
SEO professionals transitioning strategies to account for AI search growth and staying competitive in both traditional and generative search
E-commerce and SaaS companies checking if product information appears when AI engines answer customer questions
Digital agencies auditing client websites for AI search visibility as part of thorough search optimization
Business owners concerned about traffic loss as users shift toward AI search engines for answers