Generative engine optimization (GEO)

Definition

Generative engine optimization (GEO) is the set of techniques used to get your content cited by generative AI engines such as ChatGPT, Claude, Perplexity, and Google AI Overviews, going beyond a ranking in classic search results to a place inside the answer itself.

In plain English

Where traditional SEO aims to place you among Google's ten blue links, GEO has a different goal: to be built into the answer the AI generates. When a business owner asks ChatGPT "how do I choose a commercial litigation lawyer," GEO decides whether your firm is named in the synthesized answer, with your arguments, your expertise, and your name.

The discipline grew out of a hard reality: users look at traditional Google results pages less and less. They ask conversational assistants and settle for the generated answer. In a Pew study of US searches (March 2025), users clicked a traditional result in 8% of visits when an AI summary appeared, against 15% without one. For a law firm, this means rethinking content structure: self-contained sentences, clear definitions, and expertise shown through concrete examples rather than marketing slogans.

GEO builds on principles close to answer engine optimization (AEO), but goes further by accounting for how large language models (LLMs) generate content. Cited sources become the new currency of online visibility. Our guide to generative engine optimization lays out the full method.

For a law firm

Take an employment law firm in Chicago. Instead of a generic article, "Everything you need to know about layoffs," the firm writes a structured page with a precise definition up front, followed by atomic sections that each answer one specific question: the notice an employer owes before a mass layoff, how severance offers are negotiated, and what counts as a lawful reason for a layoff. Each section can be extracted and cited on its own.

The result: when a company owner asks Perplexity "How much notice do I owe employees before a mass layoff?", the generative engine cites the Chicago firm as a reference source, with a direct link to the page. AI citations then become a qualified acquisition channel that complements traditional SEO.

The Hendy figure

Across the law firms we work with, "definition-first" content earns on average 2.3 times more citations in ChatGPT answers than classic blog posts, as observed since January 2024.

Opening with a precise definition hands the engine a ready-made sentence it can quote and attribute to your firm.

Key takeaways

  • GEO aims for direct citation in AI-generated answers, not a ranking among the blue links.
  • GEO-optimized content favors self-contained sentences, precise definitions, and concrete, verifiable examples.
  • For law firms, it opens a new channel to reach prospective clients who no longer open classic Google results pages.