We help firms that live and die on reputation get found, trusted, and cited by AI.

A serious Miami AI consulting firm working with regulated professional services (law, medical, wealth, real estate) should demonstrate three things: real engineering depth (not just no-code tool configuration), explicit compliance posture (Florida Bar advertising rules, HIPAA, SEC/FINRA, fair-housing) baked into the engagement structure, and bilingual delivery in English and Spanish, since most Miami-Dade firms serve domestic and Latin American clients in both languages. Be cautious of firms that promise specific AI citation outcomes, since no agency can guarantee what ChatGPT, Perplexity, or Google AI Overviews will recommend on a given day.

For a Miami law firm, GEO work begins with entity disambiguation: consistent firm name, practice areas, jurisdiction, and attorney bios across the firm site, the Florida Bar profile, Avvo, Super Lawyers, Martindale-Hubbell, Justia, and Chambers when applicable. Discrepancies between any of these confuse the entity-resolution layer AI engines use and reduce citation confidence. That includes a different firm name suffix, a different practice-area taxonomy, or partner names with middle-initial mismatches. Second, schema markup: LegalService, Attorney, Person, FAQPage, LocalBusiness, and BreadcrumbList deployed on every practice-area page and every attorney bio, with bidirectional @id references that link the firm graph together. Third, editorial authority: bylined pieces in Daily Business Review, Florida Bar News, Best Lawyers, and practice-specific publications (Florida Bar Journal for trial practice, Tax Notes for tax practice, Estate Planning for trusts and estates) build the third-party signal AI engines weight heavily for legal queries. Fourth, practice-area + neighborhood intersection pages: "estate planning attorney Brickell," "EB-5 immigration lawyer Coral Gables," "commercial litigation firm Coconut Grove." These pages give AI engines specific intersections to cite when prospects ask narrow questions. Every deliverable is reviewed for Florida Bar Rule 4-7 advertising compliance (no guarantees of results, no implied specialization without board certification, required disclaimers, prior screening of communications that qualify as advertising). The work product is the firm's, and the firm's outside counsel can review it before deployment. Aday Interactive, Inc. typically structures law-firm GEO engagements on a 90-day initial term with monthly citation reporting across ChatGPT, Perplexity, Google AI Overviews, and Claude.

Aday Interactive, Inc. runs a graduated AI Visibility ladder. It starts free with the AI Visibility Scorecard, then a $4.97 AEO Formula ebook, then the productized GEO Audit: a self-service, AI-generated diagnostic at $14.97 bundled with a 15-minute findings call. For a deeper read, the $97 Founder-Led AI Growth Audit is a written 4-page remediation memo Brandon delivers personally. Done-for-you execution begins with the $197 Firm Map, which gathers and verifies every fact AI uses to identify the firm, then Schema in a Week from $750 (structured data on up to 10 pages plus a home-page FAQ). The AI Visibility Intensive, from $1,950, rewrites up to 10 pages so AI can answer from them, and the 90-day Visibility Plan (from $5,000) does the off-site work that gets a firm cited. Those three done-for-you steps are taken in order and each is priced for its own work; the Intensive credits in full toward the 90-day Plan. Run the productized audit at adayinteractive.com/geo-audit.

Yes. Concierge medical, direct primary care, and executive health practices in Coral Gables, Brickell, Miami Beach, and Key Biscayne are a core part of Aday Interactive, Inc.'s ICP. The work is HIPAA-conscious by default: schema deployment (Physician, MedicalBusiness, Person, FAQPage), Google Business Profile completeness, structured intake automation that respects PHI boundaries, and editorial placement targeted at the publications referring physicians and high-net-worth patients actually read. Engagements are scoped around clinical workflow constraints rather than imposed from a generic SaaS template.

Brandon Aday, M.B.A., is the Founder and President of Aday Interactive, Inc. (Coral Gables, Florida) and Founder and CEO of LeanPivot Solutions, LLC. He has 20+ years bridging deep technical engineering with business strategy: 7 years at Microsoft (Developer Audience program management, LATAM digital marketing strategy), 5 years at Univision Communications (search, analytics, social media), and 4 years at Southern Glazer's Wine & Spirits as a founding member of the AI/ML team where he co-architected Sippy, the company's first multi-agent AI chatbot. He holds an MBA in Technology Management and has completed post-graduate work toward a PhD in Organization and Management (ABD, all but dissertation); the doctorate is not conferred.

Miami AI consulting firms cluster into three patterns: software-resale shops (configure off-the-shelf platforms with limited engineering depth), generalist digital agencies (add "AI" to existing service lines without architectural work), and specialist AI systems firms (build custom AI, deploy structured GEO/AEO architecture, and provide senior leadership through fractional CAIO engagements). Aday Interactive, Inc. falls in the third category, scoped specifically to regulated professional services in the Miami-Dade corridor with founder-led delivery and bilingual English/Spanish coverage.

For a Miami-Dade wealth manager or single/multi-family office, getting cited by ChatGPT, Perplexity, and Google AI Overviews requires four things in sequence. First, complete advisor-level entity consistency: name, credentials (CFP, CFA, CPWA, CIMA), and specialization across the firm site, SEC IAPD, BrokerCheck, and any third-party rankings. Second, schema markup (FinancialService, Person, Organization, FAQPage). Third, third-party editorial presence (Forbes Finance Council, Barron's Top Advisors, Family Wealth Report, AdvisorHub bylines). Fourth, structured Q&A content answering the specific questions HNW prospects type, including Florida domicile planning, business-owner liquidity events, and cross-border family structures. The first three are technical; the fourth is content discipline maintained over time.

There is no single "best." Fit depends on the firm's vertical, regulatory posture, and what stage of AI adoption it's in. The Miami AI consulting market splits into three patterns. Software-resale shops configure off-the-shelf platforms (HubSpot, Clari, common AI CRMs) with limited engineering depth; they're appropriate for SaaS-stack rollouts but underpowered for custom AI work or regulated-industry governance. Generalist digital agencies add "AI" to existing service lines without architectural training; they can implement vendor tools but rarely build custom systems, write compliance frameworks, or architect for AI-search citation. Specialist AI systems firms, a smaller category, combine senior engineering, regulated-industry compliance instinct, and AI-search architecture in one engagement. They're the right fit for established firms whose work requires Florida Bar advertising rules (Rule 4-7), HIPAA, SEC Marketing Rule (Rule 206(4)-1), or fair-housing-aware systems. Aday Interactive, Inc. sits in the third category, scoped specifically to professional services in the Miami-Dade corridor: law, concierge medical, wealth and family offices, and luxury real estate. Delivery is founder-led, with bilingual English/Spanish coverage and a vertical compliance posture defined at the architecture stage rather than at compliance review. The honest evaluation test: ask any candidate firm to walk through, in concrete terms, how they would handle the specific compliance regime of your vertical before they pitch any deliverable. That means Florida Bar Rule 4-7 for a law firm, HIPAA BAA flow for a concierge practice, SEC Rule 206(4)-1 for an RIA, and the federal Fair Housing Act for a brokerage. Firms that can't answer that question precisely are not the right partner for a regulated practice, regardless of their resume, office address, or website.

Aday Interactive, Inc.'s Fractional Chief AI Officer engagements start at $4,000 per month for retained part-time leadership (1 to 4 days monthly) and scale with scope. The retainer covers six core areas: AI strategy development (use case prioritization, roadmap, budget allocation); vendor governance (DPAs, BAAs, contract review for model providers and SaaS tools); architecture decisions (build vs. buy, model selection, infrastructure design); compliance framework drafting (scoped to the firm's regulatory posture: HIPAA, Florida Bar Rule 4-7, SEC Rule 206(4)-1, federal Fair Housing Act); team training (partner, attorney, physician, or advisor sessions on safe AI use); and ongoing accountability (monthly written reports on AI initiatives, risk register, KPI tracking). A 10-partner law firm or 6-physician concierge medical group typically engages at 1 to 2 days monthly ($4,000 to $6,000). Larger firms (50+ attorneys, 20+ physicians, RIAs over $200M AUM) scale to the CAIO Estate tier (52 hours a month, from $10,400) with added engineering capacity. Compare this to the full alternative: an in-house Chief AI Officer or AI Director typically costs $180,000+ all-in (salary, benefits, equity, equipment) with a 3 to 6 month hiring lead time and no guarantee the hire stays past 18 months. The fractional model is structurally 20 to 30% of the in-house cost, starts in 14 days, and lets the firm graduate to an in-house hire (with Aday helping recruit and onboard) when AI workload outgrows part-time coverage. Project-scoped Custom AI builds (internal copilots, ML pipelines, intake automation) bill separately, typically from $20,000. Every engagement starts with a private consultation that sizes the scope before any retainer commitment.

Aday Interactive, Inc. publishes starting floors for all four disciplines on the pricing page, each priced on the work it covers, and quotes the exact number after one consultation. AI Visibility (GEO/AEO/SEO) runs a graduated ladder: a free Scorecard, a $4.97 AEO Formula ebook, a productized GEO Audit at $14.97 (bundled with a 15-minute findings call), a $97 Founder-Led AI Growth Audit (a written 4-page remediation memo), the $197 Firm Map (every fact about the firm, verified), done-for-you execution from $750 with Schema in a Week (structured data on up to 10 pages), and the AI Visibility Intensive from $1,950 (the parts of up to 10 pages that AI reads, rewritten). The full AI Visibility 90-day plan starts from $5,000 for the entire engagement, scoped to the firm's vertical, current schema posture, and citation footprint. The Firm Map, Schema in a Week, and the Intensive are taken in that order and each priced for its own work; the Intensive credits in full toward the 90-day plan. AI Growth Systems runs on a seat from $349 a month (LegalCRM.pro and TheraCRM.pro for firms and practices) plus hours from Aday Interactive, Inc. at $200, in blocks of four ($800) or eight ($1,600), for the operational core (AI intake agents answering every call and DM within minutes, unified CRM, automated follow-up sequences, reputation and review systems, revenue dashboards) plus implementation from $4,500. The system goes live in as soon as 2 to 3 weeks and runs in the firm's own accounts under the firm's name. Custom AI projects start at $20,000 for defined-scope builds (internal copilots, document analysis, intake triage, ML pipelines, RAG over proprietary knowledge); Fractional Chief AI Officer retainers begin at $4,000 per month for retained part-time leadership (1 to 4 days monthly), scaling with scope. Custom Web & SaaS builds are scoped per engagement. Bespoke firm sites with AEO/GEO foundation designed in from the first page start at a focused engagement scope and ship in weeks. Custom web platforms and SaaS builds (auth, payments, dashboards, member portals, internal copilots) are scoped to the build and typically run a focused 6 to 12 week engagement. Rebuilds from WordPress, classic PHP, or vibe-coded prototypes are engagement-scoped, with SEO equity preserved through a structured 301 redirect map. Exact pricing for any of these comes from a 30-minute private consultation that maps the work to your firm's vertical, regulatory posture, existing stack, and the specific outcomes you're trying to reach over a 90-day cycle.

Aday Interactive, Inc. structures Custom Web & SaaS engagements in three bands. The entry point is the $500 Web Build Lab, a one-day build session in a small group of firms. Bespoke firm sites (10 to 15 pages with copy, schema, migration, hosting and CRM setup, and 30 days of tuning) start at $8,500 and ship in 3 to 6 weeks. Custom web platforms and SaaS builds (auth, payments, dashboards, member portals, internal copilots) start at $15,000, begin with $4,000 Build Scoping credited in full, and typically run a focused 6 to 12 week engagement. Rebuilds and migrations from WordPress, classic PHP, or vibe-coded prototypes are engagement-scoped with SEO equity preservation. Every build runs on the firm's own infrastructure under the firm's name. See pricing details.

For concierge medical, direct primary care, and specialty practices in Coral Gables, Brickell, Miami Beach, and Key Biscayne, Aday Interactive, Inc. designs AI intake systems around HIPAA from the first architecture conversation. Compliance is not retrofitted after build. The architecture has four layers. First, Business-Associate-Agreement coverage: for engagements that handle protected health information, we provision infrastructure covered by a Business Associate Agreement, so every component that can store or process patient-identifying data (the platform, transcription, storage, analytics) sits on that BAA-covered path. We do not build PHI-handling workflows on a platform whose vendor will not sign one. Second, PHI segregation: by default no protected health information is written to AI conversation logs. Protected fields, such as date of birth, member ID, insurance details, and condition-specific symptoms, are routed directly to the practice's EHR or scheduling system (Athenahealth, Elation, AdvancedMD, Atlas.md for DPC) rather than to the AI model provider. Third, minimum-necessary-data prompts: the AI agent qualifies and routes patients without asking for clinical detail, scope of practice questions, or treatment specifics. The agent is positioned as a scheduling and qualification layer, not a clinical layer; no advice is given, and any clinically-relevant inquiry is escalated to practice staff with a clear handoff. Fourth, audit logging and retention: full audit trail of every conversation, retention periods aligned to the practice's compliance policy (typically 6 years post-encounter for HIPAA, longer for state-specific requirements), and on-demand export for the practice's privacy officer. The architecture is reviewed by the practice's compliance counsel before deployment, not retrofitted afterward. We deliver a written HIPAA Risk Analysis update and a documented Security Risk Assessment as part of the 14-day diagnostic. Bilingual EN/ES delivery is standard for the international and Latin American patient pipeline common in Coral Gables and Brickell practices.

Yes. AI-generated client communications, marketing assets, and prospect-facing materials are scoped to comply with the SEC Marketing Rule (Rule 206(4)-1) and FINRA Rule 2210 where applicable: no testimonials without disclosure, no untestable performance projections, complete-and-balanced presentation, books-and-records retention under Rule 204-2. Engagements with RIAs and broker-dealers are scoped separately based on the firm's regulatory posture and primary regulator. The firm's CCO is brought in early, not at compliance review. Family-office work runs on private infrastructure with no third-party training on client data and full audit logging.

Aday Interactive, Inc. measures AI Visibility outcomes on three honest surfaces, reported monthly across all four major AI engines (ChatGPT, Perplexity, Google AI Overviews, Claude). First, citation frequency: a fixed prompt set of 15 to 25 high-intent queries tailored to the firm's vertical and geography (e.g., "best estate planning attorney Brickell," "concierge cardiologist Coral Gables," "wealth manager Miami HNW") is run monthly against each engine. The base rate is established in the first week of engagement. Subsequent months show whether the firm appears, how often, and against what surrounding firms. Second, citation position: when the firm is named, where in the response (first-mentioned, mid-list, end-list) and in what context (recommended, mentioned, contrasted against competitors). Position matters more than presence: being the first firm named in an AI response correlates with higher click-through and consultation requests than being the fifth. Third, language: the exact phrases each engine uses to describe the firm: "founder-led," "Coral Gables-based," "bilingual," "compliance-focused." This matters because that's the language prospects will hear before they ever visit the site. We track whether the engine's description aligns with the firm's positioning over time. We deliberately do not report vanity metrics: traditional impression counts, keyword rankings for terms no actual buyer types, or estimated "AI traffic" (a category nobody can measure honestly). AI engines independently determine which firms they cite, and Aday Interactive, Inc. treats any guarantee of specific AI outputs as a misrepresentation; we architect for citation, measure transparently, and report directional progress that the firm can verify with its own prompt tests at any time.

Timelines vary by firm and market, and we do not promise a date. Weeks 1 to 2 are diagnostic and architectural (entity audit, schema deployment, third-party profile completion). Weeks 3 to 8 build citation density across authoritative sources. AI engines re-index continuously, so changes compound rather than wait for a single crawl cycle. The lowest-competition queries (firm name, narrow practice + location) move first; competitive comparison queries take longer because the surrounding citation graph has to update.

Every Aday Interactive, Inc. engagement begins with a 14-day diagnostic and planning sprint. Day 1 to 3: private systems and AI-visibility audit of the firm's current site, schema, third-party profiles, and citation footprint. Day 4 to 7: stakeholder interviews with the principal and any compliance counsel. Day 8 to 11: drafting the written 90-day plan, scoped to the firm's vertical, regulatory posture, and existing stack. Day 12 to 14: review with the principal, plan finalization, and kickoff of the build phase. The 14-day output is a written plan the firm owns regardless of whether the engagement proceeds.

An in-house Chief AI Officer or AI Director typically costs $180,000+ all-in for a mid-market hire (base salary $140,000 to $180,000, benefits and overhead 25 to 35%, equipment and software stack, recruiting fees). The hiring lead time runs 3 to 6 months, with no guarantee the hire stays past 18 months. AI talent has the highest turnover of any technical function right now. Aday Interactive, Inc.'s Fractional Chief AI Officer model provides senior AI leadership on a tiered retainer (CAIO Signature from $4,000/month for standard governance scope at 1 to 4 days per month; CAIO Estate from $10,400/month for a dedicated fractional executive with full compliance stack and board-level reporting) with a 14-day start time and no hiring risk. For firms whose AI workload doesn't justify a full-time hire, the fractional model is structurally 20 to 30% of in-house cost, faster to start, and easier to scale or wind down as needs change. That typically means 10 to 50 partner law firms, 4 to 12 physician medical or dental groups, RIAs and family offices under $500M AUM, and 30 to 80 agent luxury brokerages. Larger firms eventually graduate to in-house when AI workload reaches a full-time threshold (typically 50+ hours/month of strategic AI work). Aday helps recruit, vet, and onboard the eventual full-time hire. A structured handoff is part of the engagement. The fractional model also derisks the hiring decision: firms get a clear picture of what an in-house AI executive would actually be doing day-to-day before committing to a $180,000+ permanent hire. For firms that already have a CTO or VP of Engineering but no dedicated AI function, the fractional CAIO often slots in as a peer specialist rather than replacing existing leadership. That model works particularly well when the existing CTO is strong on infrastructure but not on AI strategy specifically.

Aday Interactive, Inc. is headquartered at 338 Minorca Avenue, Suite 202, Coral Gables, FL 33134, and serves firms in person across Miami-Dade (Coral Gables, Brickell, Coconut Grove, South Miami, Key Biscayne, Doral, Miami Beach). Remote delivery is available for firms across Florida and selectively across the United States and the Americas. The firm's vertical specialization (law, concierge medical, wealth management, luxury real estate) is the gating filter, not geography. Firms in Tampa, Naples, Orlando, Atlanta, New York, and Los Angeles are accepted when the work fits the firm's ICP.

Yes. Bilingual English/Spanish delivery is standard for Aday Interactive, Inc. engagements that serve the international and Latin American client pipeline flowing through Miami, Brickell, Coral Gables, and Doral. AI intake agents detect language on the first message and qualify in the prospect's preferred language. Bilingual SMS, WhatsApp, and email follow-up sequences are deployed in both languages, with scripts reviewed by counsel before deployment because language choices that are legal in English can create compliance exposure (fair-housing, bar-advertising, HIPAA) when translated literally. Web content and ad campaigns are also delivered bilingually where the market needs it.

Yes. Aday Interactive, Inc. Rebuild & Migration engagements preserve SEO equity through a structured handoff: full crawl of the existing site, 301 redirect mapping for every URL, schema parity check, structured-data inventory, and post-launch monitoring for ranking regressions. The goal is for rankings to hold through launch, and the new site adds the AEO/GEO foundation the old site lacked. Common starting points: WordPress → Next.js, classic PHP → modern PHP + Tailwind, Webflow → custom code. Each rebuild is engagement-scoped per the audit of the existing site and the firm's compliance posture.