Generative engine optimization (GEO) is the practice of shaping a law firm's online information so AI tools like ChatGPT, Google Gemini, and Perplexity can find, understand, and mention the firm in their answers. It sits next to search engine optimization (SEO), not in place of it. Firms still need both.
What Is Generative Engine Optimization (GEO)?
Generative AI tools such as ChatGPT, Google Gemini, and Perplexity write new sentences in response to a question instead of listing links. When one names a firm or describes what it does, that is a citation. GEO is the general term for making a firm's content and public information easy for these tools to read, verify, and use in an answer.
GEO is not a switch a firm flips on. It is a set of habits: keeping firm information accurate everywhere it appears, writing content that answers real client questions, and keeping a site easy for machines to read. SEO still matters: without it, there is little for a generative engine to find or cite.
How Is GEO Different from Traditional SEO?
SEO rewards ranking: appearing high on a page of search results. GEO rewards being pulled into the sentence of an answer, whether or not the reader ever clicks through.
Google's documentation on its AI features says a page can appear as a supporting link inside an AI Overview or AI Mode answer only if it is already indexed and eligible to show a normal snippet in ordinary Google Search.
Google also describes AI Overviews and AI Mode as capable of "query fan-out": splitting one question into several smaller searches and drawing on multiple sources to build one answer. A firm's information needs to hold up across related questions, not just one keyword.
What Makes AI Tools Cite One Law Firm Over Another?
Nobody outside the companies that build ChatGPT, Gemini, and Perplexity controls which sources get named. Google has said AI Overviews appear only when its systems judge that the summary adds something beyond a standard results page. The same logic likely applies to other generative engines: a useful, accurate answer, not a reward for clever writing.
In practice, that favors content that is clear, specific, and easy to verify. An attorney bio that plainly states what the lawyer handles, where they are licensed, and how to reach the firm is easier for a generative engine to use than a vague marketing page.
Does a Law Firm Website Need Schema Markup for AI Visibility?
Structured data is a standardized way of labeling page content so a machine can tell what it is looking at, such as an attorney's name, practice area, or phone number. Google uses structured data across the web to understand page content and gather general information about people and companies.
Schema.org, the shared vocabulary most structured data uses, defines LegalService as a business providing legally-oriented services, advice, or representation, with law firms given as an example. LocalBusiness data, which LegalService falls under, also lets a firm tell Google its hours, services, and reviews. Google's documentation separately describes an info panel that can appear when someone searches for a business by name.
This markup helps in a narrower way than it might seem: an item cannot be eligible for enhanced display in Google Search unless all its required properties are present, and Google recommends the JSON-LD format because it is the easiest for a website to implement and maintain at scale. Google's own documentation on AI features says no specific schema.org markup needs to be added to appear in AI Overviews or AI Mode, and we found no documentation from OpenAI or Perplexity stating that structured data is required for their tools to cite a source.
Do Law Firms Need an llms.txt File or Special Robots.txt Rules?
No, not based on anything a major AI engine has documented, and two different files get confused here.
llms.txt is a proposed file, not an official AI-company standard, placed at /llms.txt to give language models a short, markdown summary of a site and links to more detail. The idea: a model's context window, how much text it takes in at once, is too small to read most websites in full. Its creators call it most useful at answer time, not during training.
robots.txt is older and different: it tells crawlers, including search bots, which parts of a site they may visit.
Google's guidance on AI features says no special optimization is required to appear in AI Overviews or AI Mode: sites do not need new machine-readable files or extra markup, and no specific schema.org data needs to be added. Skipping llms.txt costs a law firm nothing. A normal, crawlable website matters more.
How Does GEO Relate to Answer Engine Optimization (AEO)?
AEO and GEO describe the same shift from different angles. AEO means getting a firm's content placed directly inside an AI tool's answer to one specific question. GEO is the broader umbrella covering how a firm's information is structured so any generative AI tool can use it; AEO is one piece of it. For the practical steps, see our guide to answer engine optimization for law firms.
How Should a Law Firm Start Working on GEO?
Four steps cover most of the ground:
- Keep the firm's name, address, phone number, attorney names, and practice areas identical everywhere online: website, directory listings, and Google Business Profile. Inconsistent information across listings is easy for a machine to flag as unreliable.
- Confirm the website is indexable. A page that is not indexed and eligible in ordinary Google Search has no path into an AI Overview or AI Mode answer.
- Write attorney bios and practice area pages that answer the specific questions a prospective client would actually ask, instead of pages built around a keyword.
- Find out what AI tools currently say about the firm. Ask ChatGPT, Google Gemini, and Perplexity a few real client questions in the firm's practice areas. Kudu's free AI visibility check does this automatically.
None of this guarantees a mention in any AI tool's answer, but it removes the most common reasons a generative engine has nothing to work with.