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What is Relevance Engineering in AI Search Optimization?
Last updated: August 21, 2025
Content Strategy & Engineering

Relevance Engineering involves designing content so that AI models can better retrieve, interpret, and cite it. Using semantic scoring, passage optimization, and AI simulation, relevance engineering ensures content is structurally and semantically designed for AI consumption, not just for ranking but for extraction and reasoning.

Related Keywords
relevance engineeringpassage optimizationsemantic scoringAI simulation

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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