AI SEO

From llmref.wiki
AI SEO — An umbrella term for adapting search optimization practices to AI-mediated search surfaces.

Overview

AI SEO is an umbrella term covering the adaptation of search engine optimization to surfaces mediated by artificial intelligence — including AI-generated answers, AI overviews, and conversational search. It is used in two distinct senses that are frequently conflated: (1) using AI tools to perform conventional SEO tasks (keyword research, content drafting), and (2) optimizing for AI search systems, which overlaps with GEO and AEO.

The boundary between "AI SEO" and traditional SEO is not fixed by any authority, and the term is often used loosely as a marketing label.

How it works

In the "optimizing for AI search" sense, AI SEO combines:

  • Classical SEO foundations (crawlability, structured data, authority signals).
  • GEO/AEO techniques (citable passages, direct answers, entity clarity).
  • Governance of AI crawler access (see AI crawler, llms.txt).

Distinction from related terms

Term Meaning
AI SEO Umbrella: SEO adapted to AI surfaces (and/or SEO done with AI tools)
Traditional SEO Optimizing for classical ranked search results
GEO Specifically: citation in generated answers
AEO Specifically: being the direct answer

AI SEO is not a single well-defined method; it is a category label whose meaning depends on whether it refers to using AI for SEO work or optimizing for AI-mediated search.

Examples

  • Using an LLM to cluster keywords and draft outlines is "AI SEO" in the tooling sense.
  • Restructuring a page to be cited by Perplexity is "AI SEO" in the GEO sense.

See also

References