AI SEO Glossary

Generative Search refers to any search experience where the result is generated by an AI model rather than retrieved and ranked from an index. The AI does not just find a relevant page and surface it. It reads multiple sources, reasons across them, and writes a new response synthesized from what it found. Google’s AI Overviews, Perplexity’s answer threads, and ChatGPT Search all fall under generative search. It is different from traditional search in that the output is always new, always composed in real time, and always shaped by how the AI weighs credibility and relevance across sources.

Generative Search works in two stages. First, a retrieval system identifies relevant documents from the web or a curated index based on the user’s query. Second, a large language model reads those documents and generates a coherent, contextualized response that synthesizes their content. The model does not simply copy and paste. It interprets, condenses, and restructures the information into prose that directly addresses the query. The quality of the output depends on the quality of the retrieved sources and the model’s ability to weigh them accurately.

Why it matters: If your SEO strategy is built only around ranking in a static list of blue links, generative search is already eroding that visibility without showing up in your analytics.