LLM Answer Coverage measures the number of distinct questions or prompts that a specific piece of content helps a Large Language Model (LLM) to resolve. This metric indicates the breadth of utility and comprehensiveness of the content for AI models. Content with high LLM Answer Coverage is versatile and can be used to address a wide range of user queries, making it highly valuable in AI search.
What is Chunk Retrieval Frequency?
Chunk Retrieval Frequency is a Key Performance Indicator (KPI) in AI search that measures how often a modular content bl...
What is Embedding Relevance Score?
Embedding Relevance Score is a metric that quantifies the semantic similarity between a user's query and the content's e...
What is AI Attribution Rate?
AI Attribution Rate measures the frequency with which a brand or website is explicitly named, cited, or referenced in AI...
What is Ansehn?
Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.
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