Answer engine optimization (AEO) is the practice of making a law firm's website and online information easy for AI tools like ChatGPT, Google Gemini, and Perplexity to find, verify, and quote when someone asks a legal question. Instead of chasing a search ranking, AEO aims for a direct mention or citation inside an AI-generated answer.
How Is AEO Different From Traditional SEO?
Search engine optimization aims to get a webpage ranked as high as possible on a results page for a target keyword. Answer engine optimization aims at a different outcome: getting named or quoted directly inside an AI system's answer, with no results page in between. A firm can rank well by ordinary SEO measures and still never get mentioned by ChatGPT, Gemini, or Perplexity, because these tools generate a written answer rather than a list of links. The two goals overlap in practice. Clear writing, accurate information, and a well-organized site help with both. But when a firm asks whether its AEO is working, the question isn't "where do we rank." It's "does the AI system mention us, and does it get the facts right."
How Do AI Systems Like Google's AI Overviews Actually Decide What to Cite?
Google publishes documentation on how its AI Overviews and AI Mode features work, and it is one of the few places a firm can check instead of guessing. Google says these features may break a single question into several related searches behind the scenes, a technique it calls query fan-out. AI Overviews only appear when Google's systems judge that an AI-generated summary adds something beyond a normal results page, so many searches, including legal ones, never trigger one at all. To be named as a supporting link, a page has to already be indexed by Google and eligible to appear with a normal search snippet; there is no separate track for AI features. Google states plainly that there are no extra technical requirements beyond standard search technical requirements, and no special files or markup a site must add just to appear in AI features. The one lever a firm actually controls here is its robots.txt file, which tells Google's crawler what it may access.
Does Adding Schema Markup Actually Help?
Structured data is a way of labeling information on a webpage so a computer program can read it directly, instead of guessing at meaning from ordinary sentences. Google's documentation confirms it reads this kind of markup, including JSON-LD code injected into a page by JavaScript, and that an item needs all of its required properties filled in before it qualifies for an enhanced display feature. Schema.org, the reference vocabulary most search and AI systems draw on, defines a LegalService type. It sits under the broader LocalBusiness type, and more specific types like Attorney and Notary sit underneath it. A LegalService listing can carry properties such as openingHours and priceRange, letting a firm state its hours and typical fee range in a format a machine can parse without misreading it. Filling these fields in does not guarantee that an AI system will cite a firm. It removes one source of ambiguity: the details are stated plainly instead of buried in prose.
What Is llms.txt, and Should a Law Firm Add One?
llms.txt is a proposed file that would sit at a website's root address (a site's domain followed by /llms.txt) and give AI systems a short, clean, markdown summary of a site's key pages. The people behind the proposal argue it's needed because the amount of text an AI model can read in one go is limited, and most websites are too cluttered with navigation and design elements to fit inside that limit. The specification also suggests giving each page a plain markdown version at the same address with .md added to the end. It's meant to be read at the moment an AI system is answering a question, not folded into how a model was trained. It isn't the same as sitemap.xml, which lists a site's indexable pages for search engines generally, or robots.txt, which controls automated crawling; llms.txt is meant only as a shortcut for AI systems reading a site's content at query time. Nothing requires a website to adopt it. It's a voluntary proposal that lives at a fixed root path, not a standard any AI company has committed to reading. A firm can add one without much cost, but doing so is not confirmed to change what ChatGPT, Gemini, or Perplexity say about the firm.
Is AEO the Same Thing as GEO?
No industry-wide definition separates AEO from generative engine optimization (GEO). Some marketers use GEO as the broader umbrella for AI visibility work and AEO for the narrower job of earning a direct citation inside an answer. We use the two terms close to interchangeably, because the label matters far less than the outcome: can a prospective client ask an AI tool a legal question and get accurate information about your firm back.
How Can a Law Firm Find Out Whether AI Tools Already Mention It?
The most direct way to find out is to ask. Open ChatGPT, Google Gemini, and Perplexity separately, and ask each one a question a prospective client might ask, naming your practice area and city. Read what each tool says, and check it for accuracy. A wrong practice area, an outdated address, or a competitor's name where yours belongs are all worth fixing. A free AI visibility check runs this same check across all three tools at once, and the complete guide to answer engine optimization for lawyers walks through what to fix once you know where your firm stands.