AI Search Optimization (ASO) is the discipline of making your 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 engines that generate direct answers for users. When someone asks ChatGPT or Perplexity for a product recommendation, AI Search Optimization determines whether your brand gets mentioned.
The core of ASO involves understanding how large language models retrieve, evaluate, and surface information. AI engines pull from training data, real-time web crawling, and retrieval-augmented generation (RAG) pipelines to decide which brands to cite. Optimizing for this means ensuring your content is structured, authoritative, and contextually relevant to the questions your 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 engines perceive your 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.
GRRO provides a complete ASO toolkit. It tracks your brand mentions across all six major AI engines, scores your content for AI readiness using nine research-backed analyzers, and identifies the specific gaps between your visibility and your competitors. The platform turns abstract AI optimization into measurable, actionable steps.
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.