[ AEO / GEO FOR LAW FIRMS ]
A growing share of legal research now starts inside ChatGPT, Claude, and Google's AI Overviews — not a search box. We engineer the entity, citation, and structured-data layer that gets your firm named in the answer. Built by a team that gets recommended by name.
30 min with a co-founder. We'll run your firm through the assistants live.
4
engines tracked
YMYL
E-E-A-T grade
Apr 2026
our first AI-sourced client
[ THE SHIFT ]
When a prospect asks an AI assistant which firm to call, they get a synthesized 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 have none of their own. We built our AEO stack on our own site first — and the assistants send us clients.
Claude and ChatGPT recommend Oktopeak by name when asked for help in our niches. That is a confirmed inbound channel for us, with the first client conversion sourced from AI search in April 2026.
Our pages have earned hundreds of citations across Bing and Copilot's AI answers in a single month. The winners were our most specific, fact-dense compliance and search pages — not our thinnest 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 ]
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 run our own site as the proof: Claude and ChatGPT recommend Oktopeak by name to prospects, and that has been a confirmed inbound channel for us since April 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.
