LLM Discoverability measures how well your product content is optimized for AI search engines like ChatGPT, Perplexity, and Google AI Overviews. It includes two scores: AEO (Answer Engine Optimization) for featured snippets and voice search, and AIO (AI Optimization) for AI assistant citations. Both scores are based on five categories: Q&A Pairs, Product Schema, Citation Statistics, Content Freshness, and Content Analysis.

Traditional SEO focuses on ranking in Google search results. LLM Discoverability focuses on getting your products cited by AI assistants and appearing in AI-generated answers. This requires structured content, citable statistics (dimensions, specs, percentages), and clear Q&A formats that AI can easily reference and quote. With up to 40% of search traffic potentially shifting to AI by 2027, optimizing for both is essential.

Our scoring system shows you exactly what needs improvement. Common optimizations include: adding FAQ content with common customer questions, including specific product specifications (dimensions, materials, capacity), ensuring proper product schema markup, and structuring descriptions with clear headings. The goal is to make your content easy for AI to understand and cite.

Yes! LLM Discoverability evaluates your entire product catalog and provides scores for each product. You can filter by score range to prioritize which products need the most attention, and drill down into each product to see specific improvement recommendations. In Phase 3, we'll add bulk optimization to fix multiple products at once.