When your clients ask AI who to trust, it should name your firm.

GEO is the practice of structuring a firm's online presence so generative AI engines can find, parse, trust, and cite it by name. Those engines include ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Classic SEO optimizes for a ranked link on a results page. GEO optimizes for being included in the AI's answer itself. The core levers are clear, helpful pages that answer real client questions, the same facts about your firm everywhere AI looks (entity clarity), third-party citations, and topical depth. JSON-LD schema (Organization, LocalBusiness, Person, FAQPage) supports that work by stating your facts in a format machines read without guessing. Google says schema is not required for its AI features, so we treat it as support, not a shortcut.

Your firm can rank on page one of Google and still be invisible to ChatGPT. AI assistants pick firms using different clues: consistent business details, pages they can crawl and read, clear question-and-answer content, and mentions in sources they trust. Trusted sources include directories like Avvo, Healthgrades, and Chambers, and news sites Google indexes. Most SEO plans were never built for those places. We check both and close the gap. The two work together, they do not compete.

Two ways, in order. First, the free AI Visibility Scorecard. It is a downloadable PDF checklist: 30 checks across ChatGPT, Perplexity, Google AI Overviews, and AI Mode that you run yourself in about 15 minutes. Second, the $14.97 AI Visibility (GEO) Audit. It is a quick on-page audit of your live site, bundled with a 15-minute findings call. It reads your core pages plus a sample and scores five counted areas: entity clarity, schema coverage, FAQ content, internal linking, and industry and authorship signals. The on-page score runs from 1 to 72 and is also shown as a percent. For every page measured, plus draft FAQ answers and markup reviewed by Brandon, the $97 Founder-Led AI Growth Audit is the full audit. Off-site authority and AI citation testing are not scored; they are the off-site part of the 90-Day Visibility Plan. Every rung is priced on its own, so you pay only for the step you take.

The ladder is deliberate and you move only as far as you need. It starts with a free Scorecard, then a $4.97 AEO Formula ebook, then the $14.97 GEO Audit plus a 15-minute findings call. From there: a $97 Founder-Led AI Growth Audit (the full measured audit, reviewed by Brandon), then the $197 Firm Map, which gathers and verifies every fact AI uses to identify your firm. Next is the AI Visibility Intensive from $2,700 ($3,400 on hosted builders). It turns your Firm Map into structured data on up to 10 pages, then rewrites the parts of those pages that AI reads, done for you over 3 to 4 weeks. If you only want the structured data and want your copy left as it is, Schema in a Week (from $750) is the lighter option; you do not need it before the Intensive. The 90-Day Visibility Plan (from $5,000) is the off-site work that gets you cited: profiles, directories, citations, and reporting. Each step is priced on its own, with no credits between them. See the 90-Day Visibility Plan or the full pricing.

On-site work (schema, entity surfaces, FAQ content) is typically live within the first 2 to 4 weeks. AI engines re-index on their own schedules, commonly 3 to 14 days for sites with regular traffic. So measurable citation movement usually appears within the first 90-day term. Offline authority signals (directory profiles, bylined editorial in Google News-indexed publications) take longer. Those are sequenced in months two and three.

No. You should be skeptical of anyone who says otherwise. ChatGPT, Perplexity, Gemini, and Google AI Overviews independently decide what they cite. What we do is architect for citation, measure where you appear and where you don't, and report the movement transparently every month. The work follows published guidance, including Google's own, on what matters most: clear, helpful pages, consistent facts about your firm, and third-party citations, with schema to state those facts cleanly.

It's our specialty. Law-firm engagements are scoped against bar advertising rules (Florida Bar Rules 4-7.11 through 4-7.22 and ABA Model Rules 7.1 to 7.3 where applicable). Healthcare content respects HIPAA and FTC guidance on professional advertising. Wealth-management work accounts for SEC marketing-rule constraints. (A dedicated bar-compliance diagnostic for Florida law firms is on the way as part of our legal offering.)

Less than most people think, and none of it is required for Google's AI features. Schema is clean, machine-readable facts about who you are, where you are, and what you do, so search engines and AI systems do not have to guess. The baseline: one record for the firm using its most specific business type, a Person record for each named principal, and FAQPage on pages that show real questions and answers. Law firms use LegalService for the firm and Person for each attorney, linked with worksFor (schema.org retired the old Attorney type). Medical practices use PhysiciansOffice, MedicalClinic, or Dentist for the practice and IndividualPhysician for each doctor. Wealth managers use FinancialService, and brokerages use RealEstateAgent. Each is written as JSON-LD with one stable ID per entity, sameAs links to your real profiles (Google Business Profile, bar or licensing listing, LinkedIn), and facts that match what the page shows. Inconsistent facts across your site, Google Business Profile, and directories are one of the most common reasons AI engines pass over an otherwise strong firm.

Yes. The methodology is geography-agnostic: entity clarity, schema, and Q&A content work the same in any market. Our local depth is Miami-Dade (Coral Gables, Brickell, Coconut Grove, South Miami, Pinecrest); see AI visibility in Coral Gables for how this plays out in our home market. That is where the Local AI Dominance pillar has the most pre-built neighborhood context. But AI Visibility engagements run remotely for firms nationwide, in English and Spanish.

Our audit checks five literal places where your firm's name should appear: the page title tag, the og:site_name meta tag, the og:title meta tag, the meta description, and the JSON-LD schema name field. All five must contain the firm's legal name as a substring for the entity clarity area to score Low. Missing even one surface can drop the score by more than five points and makes it harder for search engines and AI systems to be sure which firm they are reading about. This is the most counterintuitive finding for firms that have strong branding on the page but inconsistent metadata.

A quick on-page audit of your live site. It reads your core pages plus a sample and scores five counted areas: entity clarity, schema coverage, FAQ content, internal linking, and industry and authorship signals. Each area gets a Low, Medium, or High gap rating, and the on-page score runs from 1 to 72, also shown as a percent. The full report adds the written findings with the counts behind each one, what your team can do and what we would deliver for each area, a roadmap priced in points on the same scale as your score, a branded PDF, and a 15-minute findings call with Brandon. It does not include paste-ready markup. For every page measured, plus draft FAQ answers and markup reviewed by Brandon, see the $97 Founder-Led AI Growth Audit. Off-site authority and AI citation testing are not scored; they are the off-site part of the 90-Day Visibility Plan.

Yes. Each vertical has its own schema types and its own citation sources. Law firms need LegalService schema for the firm, with Person for each attorney, Avvo and Martindale-Hubbell directory profiles, and content scoped against Florida Bar Rules 4-7.11 through 4-7.22 and ABA Model Rules 7.1 to 7.3. Medical practices need PhysiciansOffice or MedicalClinic schema for the practice and IndividualPhysician for each doctor, Healthgrades and Vitals profiles, and FAQ content that avoids specific medical advice. Wealth managers need FinancialService schema and profiles on SEC IAPD, FINRA BrokerCheck, and Forbes Finance Council. Generic schema types are a common gap, but they matter less than consistent facts across your listings and clear, specific pages a prospect would trust.

Three patterns show up most often in the sites we audit. First, inconsistent entity data: the firm name, address, and practice area are described differently across the site, Google Business Profile, and directory listings, so the AI engine is not confident it has the right firm. Second, vague pages: the site never says plainly what the firm does, for whom, and where, and it has no schema markup (or only a generic type) to state those facts in a format machines read without guessing. Third, no FAQ content written in the question formats people actually type into ChatGPT. A firm that ranks on Google page one can still be invisible to ChatGPT if all three gaps are present.

Local AI Dominance is the fifth pillar of our AI Visibility practice. It targets two systems simultaneously: the Google map pack and the AI answer for location-specific queries. Core signals are Google Business Profile completeness and category strategy, consistent NAP (name, address, phone) citations across Avvo, Healthgrades, and vertical directories, review velocity and recency, and neighborhood-level content pages for the neighborhoods a firm actually serves. For South Florida firms this means Coral Gables, Brickell, Coconut Grove, South Miami, and Pinecrest. Both AI engines and the map pack weigh these local signals heavily for "near me" and city-qualified queries.

Three sprints. Sprint 1a, weeks 1 to 2: entity audit across all five clarity surfaces, schema deployment (Organization plus LocalBusiness plus Person plus FAQPage plus vertical type with bidirectional ID references). Sprint 1b, weeks 1 to 2 in parallel: third-party profile completion (Google Business Profile, vertical directories). Sprint 2, weeks 3 to 8: FAQ content expansion (15-plus entries per service page with specificity markers), location-vertical pages, and AI-powered SEO. Sprint 3, months 2 to 3: editorial authority (bylined content in Google News-indexed publications, Forbes Finance Council, Clutch, or the applicable vertical directory). Sprints 1 and 2 alone move most firms from mid-Discoverable to AI-Native on the on-page score, which can reach 92. Sprint 3 is off-site work. It is not scored; we measure it by testing whether AI engines name you.

Four things, on the same set of real client questions every time. Visibility: how often AI answers name your firm. Source presence: how often they cite a page on your own site. Description: the words AI uses for your firm, next to the words it uses for your competitors. Accuracy: facts it gets wrong, such as an old address, a service you do not offer, or a credential you do not hold. We report each one as a count out of every answer we collected, for example named in 18 of 160 answers. Ask an AI the same question twice and you can get two different answers, so a single screenshot proves little. The count is the signal. For regulated firms, accuracy often matters most. If an AI calls a lawyer a specialist without board certification, we trace the claim to its source and fix the parts your firm controls.

Citations and rankings drift, because engines re-crawl on their own schedule and competitors keep publishing. AI engines also lean toward recently updated sources, so a page that goes stale can quietly lose the citation it earned. Most firms continue under a growth retainer that keeps the work compounding: a quarterly refresh of your core answer pages, new answer content, refreshed citations, and ongoing share-of-voice tracking. It is optional, and at Day 90 we tell you in writing whether we think it is worth it for your firm.