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People with a legal problem ask their first question of an AI more and more often: which lawyer do I need, what are my rights, who specializes in my case. Because these are sensitive decisions, AI picks its sources critically. GEO for law firms makes sure you get mentioned as a reliable choice.
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Legal topics are sensitive. AI weighs reliability and expertise extra heavily, so clear authority in your practice area counts.
Questions are often specific, such as the best employment lawyer. Content per practice area increases the chance you appear for the right question.
Many searchers combine location and specialty. Correct, consistent information helps AI match you with the right question.
Someone gets fired, for example, and does not know their rights or which lawyer they need. They ask ChatGPT. The AI explains the situation and names a few firms or specializations. If you are mentioned, the case comes to you.
Example prompts customers ask AI
To be mentioned reliably for these questions you need clear content per practice area, backed by evidence of expertise and reliability. That is how AI recognizes you as the right specialist for that case.
Start by measuring whether AI mentions you for the questions your clients ask. Then follow the GEO optimization plan and measure with the prompt tracker. More background in what is GEO.
Legal information falls under what is called YMYL: topics where wrong information can cost someone money, health or rights. AI models are demonstrably more reserved about which sources they cite on those topics.
In practice that means two things. Origin weighs more: an answer with a name, a bar admission and a specialization under it is more likely to be used than an anonymous text. And consistency weighs more: if your firm details, your practice areas or your office location differ between sources, that is annoying for an ordinary service and disqualifying for a legal one.
How to work that out is in E-E-A-T for AI authority.
Almost no client searches for "employment law". They search for their situation: "my employer let me go after I complained, what now", "who pays the attorney in a divorce", "can my landlord raise the rent just like that".
AI matches on that situation, not on the legal term. A page called "Employment Law" that then explains which services you offer answers none of those questions. A page that starts with the answer to the question itself does.
So per practice area, work out the four or five situations that matter in practice:
One page per situation that starts with the answer. See content that AI cites.
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How it works for any websitePut under every legal article who wrote it, where and since when that person is admitted to the bar and which practice area they specialize in. That is the signal a model selects on for YMYL topics, and it costs you one line per page.
Make it machine-readable which firm you are, which practice areas you cover and who the attorneys are. See the JSON-LD schema guide.
A reference to a published article, a law review note or a case you handled is a verifiable fact. That is exactly the kind of support a model distinguishes from a marketing claim.
Name, address and phone number must be identical everywhere: on your site, in your Google Business Profile, in your state bar listing and in legal directories. See NAP consistency and AI.
The rules of professional conduct limit what you may promise, and for AI visibility that is more of an advantage than a limitation.
You may not promise results. You do not need to: a model does not cite a promise but an explanation. "We win 90 percent of our cases" cannot be verified and does not get used. "An older worker must get at least 21 days to consider a severance agreement" does.
Only publish information that is public. Case details, client names and file details do not belong on your site, not even anonymized if the case remains traceable. A general explanation of a legal mechanism is just as citable and much safer. Check your state bar's advertising rules for anything specific to your jurisdiction.
Want to see which legal questions you are mentioned for right now? Measure it with the prompt tracker.
Work in another industry? This is how AI visibility works there:
Mostly serving business clients? Read GEO for B2B service providers.
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