Be the answer AI gives.

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 the details AI engines read about your firm (entity disambiguation), JSON-LD schema (Organization, LocalBusiness, Person, FAQPage), direct question-and-answer content, third-party citations, and topical density.

A firm can rank on page one of Google and still be invisible to ChatGPT. That happens because generative engines weigh different signals: consistent entity data, structured schema, extractable Q&A content, and citations in sources the model trusts. Trusted sources include directories like Avvo, Healthgrades, and Chambers, plus Google News-indexed publications. Most SEO retainers were never scoped to those surfaces. We audit both layers and close the gap. The two disciplines reinforce each other rather than compete.

Two ways, in order. First, the free AI Visibility Scorecard. It is a 10-minute self-audit with 5 tests you run yourself in ChatGPT and Perplexity. Second, the $14.97 AI Visibility (GEO) Audit. It is a scored, seven-area diagnostic of your actual site, bundled with a 15-minute findings call. The seven areas: entity clarity, schema coverage, FAQ content, editorial authority, citation footprint, internal linking, and vertical-specific signals. Each rung on the ladder stands alone. The only credit is the $497 execution deliverable, applied in full to the $2,500 plan.

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 AEO Audit (a written 4-page remediation memo), a $197 in-office visibility sprint, then $497 Schema in a Week. That last one is done-for-you schema.org + FAQPage shipped on one URL. The $2,500 90-Day Visibility Plan implements the full roadmap. A prior $497 Schema in a Week credits in full, so you pay $2,003 net. Rungs below $497 stand alone. See 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 signals we build are the ones generative engines demonstrably favor: schema, entity clarity, Q&A content, and third-party citations.

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.)

The baseline for every firm: Organization, LocalBusiness, Person (for named principals), and FAQPage. On top of that, vertical-specific types: LegalService and Attorney for law firms, Physician and MedicalBusiness for medical practices, FinancialService for wealth managers, RealEstateAgent for brokerages. Each is emitted as JSON-LD and kept consistent with your name, address, and practice-area data everywhere else on the web. Inconsistency is the most common reason AI engines fail to cite 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). 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.

AI engines verify a firm's identity by checking five literal surfaces: 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 reduces an engine's confidence when composing a recommendation. This is the most counterintuitive finding for firms that have strong branding on the page but inconsistent metadata.

A scored, seven-area diagnostic: entity clarity, schema coverage, FAQ content depth, editorial authority, citation footprint, internal linking, and vertical-specific signals. The full report adds deep findings per area, a complete schema blueprint with Organization, LocalBusiness, Person, FAQPage, and vertical-specific types as JSON-LD ready to paste, 8 to 12 FAQPage question-and-answer pairs calibrated to your vertical and written at the specificity level AI engines extract from, and a 90-day roadmap sequenced by impact. The $14.97 unlock also includes a 15-minute findings call with Brandon.

Yes. Each vertical requires vertical-specific schema and vertical-specific citations. Law firms need LegalService and Attorney schema, 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 Physician and MedicalBusiness schema, 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. Using generic schema types in a regulated vertical is one of the most common reasons a qualified firm is invisible to AI search.

Three patterns cover 90% of cases. 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, no schema markup at all, or schema that is present but missing the vertical-specific types (LegalService, Physician, FinancialService) that give the engine context about the profession. 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 fourth 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. Sprint 3 targets 85-plus.