Query decomposition is the process where an LLM breaks a complex prompt into smaller sub-queries to retrieve targeted evidence. Supporting decomposition with comprehensive, well-scoped chunks improves coverage in synthesized answers.
What is Query Fanout in AI Search?
Query Fanout refers to the process where Large Language Models (LLMs) generate multiple related queries based on an init...
What is a Freshness Scoring Profile in AI Search?
A Freshness Scoring Profile is a component of an AI search model's ranking system that prioritizes recent content over o...
What are Hallucinated URLs in AI Search?
Hallucinated URLs are non-existent web page addresses that are generated by Large Language Models (LLMs). These URLs may...
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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