[ AEO / GEO FOR LAW FIRMS ]
When prospects ask AI for a lawyer, get named.
Clients now ask ChatGPT, Google's AI answers and Copilot which firm to call. The answer names one to three firms, not ten links. We check which firms it names for your practice areas and city, then fix what keeps yours out.
30 minutes with a co-founder. We run your firm through the assistants live. Free.
903
Copilot citations of our pages, June 1-20
4
AI assistants we test your firm on
30 min
to see where you stand
[ THE SHORT ANSWER ]
Five steps. The first one takes an afternoon and tells you if the rest is worth doing.
01
Ask ChatGPT, Gemini, Copilot and Google the questions your clients ask, with your city in them. Write down which firms get named and which pages get cited.
02
Same firm name, address, practice areas and attorney names on your site, Google Business Profile, Avvo, Justia and your bar listing. The assistants cross-check these.
03
One client question per section, answered with facts for your state. Assistants quote short, specific answers, not brochure copy.
04
Structured data (LegalService, Attorney, FAQPage) tells the assistant who you are, where you practice and what you handle, without guessing.
05
Directories, local press, bar associations, the forums your clients read. Assistants trust what other sites say about you more than what you say.
[ THE SHIFT ]
When a prospect asks an AI assistant which firm to call, they get an answer naming one to three firms, not ten blue links. If you are not in the paragraph, the click never reaches your site.
01
From "search" to "ask"
[ THE GAP ]
02
You can rank and still be invisible
03
YMYL raises the bar
[ WHAT WE BUILD ]
Not a content mill. The technical and editorial signals the answer engines actually use to decide who gets named.
We make your firm unambiguous to the models: consistent name, practice areas, jurisdictions, and attorney identities across your site, Schema.org, and the third-party sources the engines cross-reference. Ambiguous entities do not get cited.
Complete, valid JSON-LD (LegalService, Attorney, FAQPage, Article) plus an llms.txt that tells AI crawlers exactly what your firm does, where, and for whom, with citable facts, not adjectives. This is the machine-readable spine of a citation.
We restructure your key pages into answer-shaped passages: the question a prospect asks, answered in a clean, attributable chunk with jurisdiction-specific facts. Models lift and cite passages, not whole pages.
Real attorney bylines and credentials, verifiable claims, and the trust signals the engines demand for legal topics. We build authority the models can confirm, the opposite of the templated blog that gets filtered out.
The models trust what other trusted sources say about you. We map where your firm needs to be referenced and cited (directories, publications, and the community sources the engines already weight) so your claims are corroborated, not just asserted.
We track your firm's mentions across ChatGPT, Claude, AI Overviews, and Copilot for the prompts your buyers use, plus AI referral traffic tagged in analytics. You see movement and conversions, not a vanity score.
[ PROOF ]
Most agencies selling AI visibility cannot show their own. Here are ours, with dates. No assistant cites anyone for everything, and nobody can promise it will cite you. We show you the numbers each month instead.
In July 2026 a law firm found us through Google's Gemini and booked a call. In April 2026 a client told us Claude and ChatGPT had both suggested us. We ask every new lead how they found us and log the answer.
Between June 1 and 20, 2026, Microsoft Copilot cited our pages 903 times (Bing Webmaster Tools). The most cited were our most specific, fact-dense pages, not our marketing copy. That is the pattern we build for you.
llms.txt, complete schema, Copy-for-AI buttons, case-study markup, and AI-referral tracking in analytics run on this very site. You are reading the method. We install the same spine on your firm's domain.
[ PROCESS ]
Three phases. We show you the gap before we quote the work.
01
Free, see where you stand
[ BUILD ]
02
Entity, schema, passages, authority
03
Monthly, measurable
[ FAQ ]
Five things, in this order. Check what ChatGPT says today for the questions your clients ask, with your city and practice area in them. Make your firm name, address, practice areas and attorney names identical on your site, Google Business Profile, Avvo, Justia and your bar listing. Answer real client questions on your own pages, one question per section, with facts for your state. Add structured data (LegalService, Attorney, FAQPage) so the page is machine-readable. Then get mentioned where the assistants look: directories, local press, bar associations and the forums your clients read.
The last step moves the needle most. Assistants trust what other sites say about you more than what you say about yourself. The full steps are above.
Plenty of agencies offer one, so ask three questions before you pick. Will they run the check live, in front of you, on your real practice areas and city? Can they show you their own AI citations, with numbers? Will they tell you what they cannot promise?
We answer yes to all three. The first check is free and takes 30 minutes with a co-founder: we run your firm through ChatGPT, Google's AI answers, Copilot and Claude, show you who gets named instead of you, and you keep the gap list whether you hire us or not. Our own numbers are on this page: Copilot cited our pages 903 times between June 1 and 20, 2026.
AEO is the work of getting your firm named and cited when a prospect asks an AI assistant a legal question, 'best personal injury lawyer near me', 'do I have a wrongful termination case', 'which firm handles SEC whistleblower claims'. Instead of ranking a page for a Google click, the goal is to be the source the model quotes in its answer.
It overlaps with SEO but the ranking signals are different: entity clarity, citable facts, structured data, and being referenced on the third-party sites the models trust. GEO (Generative Engine Optimization) is the same idea applied to generative answers specifically.
Classic SEO optimizes for a ranked list of blue links a human clicks. AEO optimizes for a single synthesized answer where the model decides which one or two sources to cite.
That changes the work: the model rewards unambiguous entity identity (who you are, what you practice, where), passage-level facts it can lift and attribute, machine-readable structure (Schema.org, llms.txt, clean headings), and corroboration on sources it already trusts. For legal, it also means clearing the YMYL and E-E-A-T bar the models apply harder to law, health, and finance than to any other topic.
We can build every signal that makes a citation possible and measurable, and we test it on our own site first. AI assistants have sent us clients: in April 2026 a client told us Claude and ChatGPT had both suggested us, in July 2026 a law firm found us through Google's Gemini and booked a call, and Microsoft Copilot cited our pages 903 times between June 1 and 20, 2026.
No one can promise a specific model will cite a specific page on a specific day, the systems are non-deterministic and change weekly. What we do is engineer the entity, citation, and structured-data layer that citations depend on, then track mentions across ChatGPT, Claude, Google AI Overviews, and Bing Copilot so you can see movement rather than take our word for it.
A growing share of high-intent legal research now starts inside an AI assistant instead of a search box. When someone asks ChatGPT or Google's AI Overview which firm to call, they usually see a short synthesized answer naming one to three firms, not ten blue links.
If your firm is not in that answer, the click never reaches your site, you are filtered out before the prospect ever sees your homepage. Being one of the cited sources is becoming the new page-one.
Legal is a YMYL (Your Money or Your Life) topic, so the answer engines weight experience, expertise, authoritativeness, and trust more heavily and penalize thin, generic AI filler harder.
We do not ship mass-generated content. The pages that earn citations carry real attorney authorship and credentials, jurisdiction-specific facts, and claims a model can attribute, the opposite of the templated blog most agencies produce. Getting cited and protecting your professional reputation are the same job here.
We track three things. Citations and mentions: how often your firm is named across ChatGPT, Claude, Google AI Overviews, and Bing Copilot for the prompts your prospects actually type. AI referral traffic: sessions arriving from AI assistants, tagged in analytics so you can see conversions, not just impressions. Underlying signals: schema coverage, llms.txt freshness, entity consistency, and third-party corroboration.
You get a monthly report on all three, not a vanity dashboard.
Scope is tailored to the firm, the drivers are how many practice areas and locations you need covered, the state of your current site and schema, and how much net-new authoritative content the plan requires.
We start with a free visibility assessment: we run your firm through the major AI assistants for the prompts your buyers use, show you where you appear and where a competitor is cited instead, and only then scope the work. Book a 30-minute call to see your current AI footprint.
[ GET STARTED ]
30 minutes with a co-founder. We'll run your firm through ChatGPT, Claude, AI Overviews, and Copilot on the prompts your prospects actually use, and show you the gap before we quote a thing.
