How law firms get named in ChatGPT answers

Generative Engine Optimization (GEO) is the practice of getting your firm named, quoted, and cited inside the answers that AI engines generate — the responses from ChatGPT, Google’s AI Overviews, Perplexity, and others. Where traditional SEO competes for a ranked position on a results page, GEO competes to be the source the model reaches for when it writes an answer.

Why the distinction matters

A prospect used to type a query, scan ten blue links, and click. Increasingly they read a synthesized answer and never see a results page at all. If your firm ranks first in Google but goes unmentioned in that answer, the ranking no longer does the work it used to.

AI engines favor a specific kind of content:

• Loads without JavaScript. If the substance only appears after a script runs, a crawler may never see it.
• Isn’t paywalled or gated. Content behind a form can’t be cited.
• Uses clear headings and answers questions directly. Models lift passages that state a claim plainly, near the top of a section.

What GEO looks like in practice

GEO is less a set of tricks than a discipline of being unambiguously useful and machine-readable:

1. Publish content that answers the questions prospects actually ask.
2. Structure it so the answer is easy to extract — a clear heading, then the answer in the first sentence.
3. Build the entity signals that tell a model your firm is a credible source on the topic.

That last point is where GEO connects to the rest of a visibility system: reviews, consistent citations, and authority all feed the model’s judgment about who to name.

The short version

SEO asks, “Where do I rank?” GEO asks, “When an AI answers, does it say my name?” Both matter. The firms that win the next few years will be the ones that treat the second question as seriously as they once treated the first.