Query Fanout refers to the process where Large Language Models (LLMs) generate multiple related queries based on an initial user prompt to gather more comprehensive information. For example, if a user asks about 'the latest Google patent discussed by SEOs,' an LLM might perform additional web searches like 'latest Google patent discussed by SEOs patent 2025 SEO forum' or 'latest Google patent SEOs 2025 discussed.' Understanding these fanout patterns allows content creators to optimize for these expanded queries, increasing the chances of their content being retrieved and used by AI models.
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 Answer Grounding?
Answer grounding means tying an AI-generated response to verifiable sources, often via retrieval. Grounded answers cite ...
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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