AI Search Optimization (ASO) is the discipline of making a brand discoverable and recommendable by AI-powered search engines. Unlike traditional SEO, which focuses on ranking in a list of blue links, ASO targets the recommendation layer of AI platforms that generate direct answers for users. When someone asks ChatGPT or Perplexity for a product recommendation, AI Search Optimization determines whether a given brand gets mentioned.
The core of ASO involves understanding how large language models retrieve, evaluate, and surface information. AI platforms pull from training data, real-time web crawling, and retrieval-augmented generation (RAG) pipelines to decide which brands to cite. According to a 2025 Gartner forecast, organic search traffic to websites is expected to drop 25% by 2026 as AI-powered answer engines capture more queries. Optimizing for this shift means ensuring content is structured, authoritative, and contextually relevant to the questions customers are asking AI.
ASO encompasses several related practices including content structuring for AI extraction, schema markup implementation, entity building across authoritative sources, and ongoing monitoring of how AI platforms perceive a brand. It is a proactive strategy rather than a reactive one. Brands that invest in ASO now are building the foundation for visibility as AI search continues to replace traditional search for more and more queries.
The key difference between ASO and traditional SEO is the optimization target. Traditional SEO targets search engine ranking algorithms. ASO targets the recommendation logic of language models, which evaluates entity authority, content structure, topical depth, and multi-source consistency rather than backlinks and keyword density. A BrightEdge study found that 68% of all online experiences still start with a search engine, but the definition of "search engine" is rapidly expanding to include conversational AI platforms.
Key Statistics
- •Organic search traffic to websites is expected to drop 25% by 2026 due to AI answer engines. (Gartner, 2025)
- •68% of all online experiences still begin with a search engine, increasingly including AI platforms. (BrightEdge, 2025)
How GRRO Helps
GRRO tracks your brand mentions across all six major AI platforms, scores your content for AI readiness using nine research-backed analyzers, and identifies the specific visibility gaps between you and your competitors.
Related terms
Optimizing content so that AI answer engines select and cite your brand when generating responses to user questions.
A research-backed framework for optimizing content to be cited by generative AI search engines.
Search engine optimization specifically targeting large language models, ensuring your brand is part of the knowledge these models use when generating recommendations.
