A generic GEO playbook fails the moment it hits a real vertical. Med-spa buyers ask ChatGPT about Botox, not about your business. Plastic-surgery patients ask about named surgeons, not categories. Real-estate buyers ask about specific metros, not “homes.” Each of these prompt families pulls from a different set of authority surfaces, and the surfaces are not interchangeable.
Why is AI citation a per-vertical game?
Every AI engine ranks authority through an entity graph specific to the question type. Medical-aesthetics queries route through Allergan, RealSelf, and Galderma. Legal queries route through seven directories led by FindLaw at 85% mention rate (Metricus 2026). Real-estate queries route through Zillow, Realtor.com, and a handful of named agents. The directories are different per vertical, the prompt patterns are different, and the regulatory frame is different. A horizontal GEO playbook ignores all three.
The May 2026 5W AI Platform Citation Source Index analyzed 680 million citations across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. The top 15 domains capture roughly 68% of cross-vertical citation share. That headline number hides the actual structure: inside any single vertical, the concentration is even higher. The Haute MD/5W Aesthetics Index released April 25 2026 found that 15 medical-aesthetics brands capture about 62% of AI citation share inside that one vertical alone. The implication is that “general AI visibility advice” loses to vertical-specific work in every measurable case.
This article is the hub. Each section surveys one vertical: the directories that own its citation graph, the buyer-prompt pattern, the regulatory gates, and the citation-share gap between named incumbents and average independents. Where a full vertical hub exists (financial advisors, med-spas, plastic surgeons, B2B SaaS) the section routes there. Where the vertical is housed inside Pillar 2 directly (cosmetic dentists, accountants, real estate, HVAC, lawyers) the section links its cluster articles. The 2026 platform-vs-citation context — which CMS the average vertical site is built on — is covered in the platform-vs-AI citation guide, because platform choice still gates citation regardless of vertical.
The shape of vertical citation in 2026
Three structural facts shape every vertical playbook below.
The first is concentration. ChatGPT’s citation distribution has a Gini coefficient of approximately 0.8 (Profound, February 2026) — extreme concentration relative to Google’s PageRank long tail. The top 10 cross-vertical domains capture only 12% of all citations, but the long tail is fragmented across hundreds of thousands of domains rather than consolidated. Inside a single vertical, the concentration tightens further: 15 brands take 62% of medical aesthetics, 7 directories own legal, 8 directories own home services, the top 1% of real-estate agents take 47%.
The second is review-platform leverage. Domains with active profiles on G2, Capterra, Trustpilot, Sitejabber, or Yelp have a 3× higher probability of being cited by ChatGPT compared to sites without those profiles (SE Ranking November 2025, corroborated 2026). The lift is not editorial — it is structural. AI engines treat a profile on a citable directory as an authority signal even before they read the firm’s own website.
The third is the consolidation event. On February 5 2026, G2 closed its acquisition of Capterra, Software Advice, and GetApp from Gartner. Two hundred million annual buyers and six million verified reviews now flow into one citation pipeline. G2’s Answer Economy Report (April 15 2026, n=1,076) measured the downstream effect inside B2B SaaS: 51% of buyers now start research in AI chatbots, up from 29% just eleven months earlier. The merger compresses every B2B SaaS vertical’s directory map into a smaller set of surfaces — and the same compression pattern shows up in the named-incumbent data for medical aesthetics, legal, and real estate.
Which 8 verticals are worth attacking in 2026?
ConnectEra’s research register isolates eight: financial advisors, med-spas, plastic surgeons, B2B SaaS (vertical-niched), cosmetic dentists, accountants, top-tier real-estate agents, and premium HVAC. Lawyers is a productized carve-out, not a content vertical, because the seven-directory monopoly forecloses the blog-ranking play. Each of the eight has a citable 2026 benchmark, a known directory map, and a regulatory or platform constraint that turns a citation gap into a recurring engagement.
The eight survive a four-test filter: deal size large enough to justify a GEO retainer, AI adoption material on the buyer side, a citation-share gap between named incumbents and independents, and a hookable 2026 event that gives the work a news cadence. Restaurants, hotels, locksmiths, cleaning services, salons, and general e-commerce all fail at least two of the four — covered in the permanent-skip rationale at the end of this hub.
Financial advisors: the Wave 1 vertical with the highest single-win LTV
A single $5M AUM client at a 1% fee returns $50,000 annually. One citation that surfaces one such prospect pays for an entire year of GEO work. The buyer-side adoption is already there: 74% of households earning $100K+ use AI tools regularly (Menlo Ventures via Edge Partners 2026), and 1 in 4 high-income adults plan to use ChatGPT or Gemini to find their next financial advisor (Wealthtender 2026 survey of 500 high-income adults).
Where do AI engines source advisor recommendations?
When prospects ask AI for an advisor, the engines pull from NAPFA, XYPN, BrokerCheck, Google Business Profile reviews, and LinkedIn headlines (Edge Partners 2026, Wealthtender 2026). Wikipedia is the cross-cutting authority surface — appearing in roughly 18% of cited ChatGPT conversations and accounting for about 5% of all individual citations (Profound February 2026). Reddit (r/personalfinance, r/financialindependence) accounts for around 3% of ChatGPT citations and 13% of cited conversations.
The supply-side adoption is also moving. Schwab’s January 22 2026 RIA AI Adoption study (n=533) found 63% of RIAs themselves now use AI; 59% believe AI will impact client relationships within one year, and 68% expect transformative impact within three. FINRA’s 2026 Regulatory Oversight Report explicitly calls out GenAI supervision as a focus area, and SEC 2026 examination priorities include AI compliance — both regulatory hooks generate recurring data-drop ammunition for compliant content.
The competitive field is lightly contested. Advisor Rankings, WealthReach, and Edge Partners publish vertical-specific GEO content; Wealth Management magazine carries editorial authority but is not productized. There is no public per-vertical citation share study for advisors as of May 2026 — the first ConnectEra Wednesday data drop is a per-state advisor citation share scan.
The full vertical hub (and the 15 specific buyer-prompt patterns at the $5M AUM tier) lives at the financial advisor AI visibility playbook.
Med-spas: the Allergan-and-RealSelf monopoly, plus a regulatory hook
Med-spa AI citation is the most concentrated single category in the research register. Allergan and AbbVie (Botox, Juvéderm) capture roughly 90%+ of medical-aesthetic AI mentions. RealSelf takes about 75%. Ideal Image (~65%), LaserAway (~55%), Galderma (~50%), Sono Bello (~40%), SkinSpirit (~25%), and Aedit (~20%) round out the top eight. The average independent medspa with 1–3 locations lands below 1% (Metricus MedSpa AI Visibility 2026).
Why does ChatGPT recommend Botox the brand instead of your medspa?
AI engines were trained on a corpus where the brand name is the canonical entity for the procedure. “Botox” appears in millions of pieces of authority content; “your boutique medspa in Austin” appears in your own site and a few directories. When a buyer asks “where should I get Botox?”, the engine surfaces what its entity graph treats as authoritative: the manufacturer, the marketplaces (RealSelf, Aedit), and the national chains. Independents enter only through procedure-and-metro queries, never through brand queries.
The regulatory frame is the second lever. Texas SB 378 (signed 2026) closes the medspa loophole — only qualifying medical license-holders can perform injections regardless of tenure. New York’s joint Council and State investigation (December 11 2025) found 100% of 15 inspected medspas in violation. Florida HB 1429 created an expedited injunction route and immediate registration revocation for any medspa refusing inspection. Each state-level enforcement event becomes a citation surface: a medspa that publishes a “we are SB 378-compliant — here’s what changed” page enters a query family that the brand-level Allergan citation graph does not cover.
The Haute MD / 5WPR Medical Aesthetics AI Visibility Index (April 25 2026) is the first published audit — 25 brands ranked across ChatGPT, Claude, Perplexity, and Google AI Overviews, 60+ queries, $22B market scope. The top five: Botox, Juvéderm, CoolSculpting, SkinCeuticals, Morpheus8. Top 15 brands capture about 62% of total AI citation share. Haute and 5WPR stop at brand level, which is exactly where the procedure-and-metro arbitrage opens up.
The full hub — including the 15 patient prompts that hit ChatGPT before a medspa walk-in, and the SB 378 / NYC / HB 1429 enforcement timeline — is at the med-spa AI visibility playbook.
Plastic surgeons: named-doctor citation is wider than brand citation
Plastic surgery sits adjacent to med-spa but does not share its authority graph. The American Society of Plastic Surgeons (ASPS) Find-a-Surgeon tool is the gold-standard authoritative surface (ASPS 2026). RealSelf has rebranded around 10,000 aesthetics providers across 115 countries with an AI-features roadmap on the 2026 product plan (BeautyMatter 2026). PubMed and NIH operate as the third surface — Perplexity in particular rewards primary medical literature (5W Index 2026). Reddit’s r/PlasticSurgery has 345,000 members and very high activity (GummySearch 2026).
Why is the named-doctor citation gap wider than the medspa brand gap?
Haute MD’s April 2026 Aesthetics Index measures brand-level citations (Morpheus8, Botox, Juvéderm). Surgeons are not brands. ASPS reports a $4,875 average breast augmentation surgeon fee with surgical procedures running $3,000–$15,000; the named surgeon is the entity that gets booked, not the procedure or the device. The brand-level studies miss this entirely, which means the named-doctor citation share for “best rhinoplasty surgeon in Dallas” is unmeasured by the headline 2026 indexes — and therefore wide open.
The 2024 ASPS report (the most recent comprehensive volume report) recorded 306,196 breast augmentations alone. The April 2026 Haute MD index found Morpheus8 in the top five brands across all four engines, but stopped short of naming the surgeons performing it. There is also a fake-review enforcement risk: a peer-reviewed study of 9,000 RealSelf reviews classified 35.7% as fake — surgeons buying GenAI-generated testimonials face FTC and state-board exposure under the 2023 Endorsement Guides update (still active in 2026) and Florida HB 1429.
The full vertical hub — including the 15 prompts that move $4–15K cases and the Person + Physician + hasCredential entity-graph — is at the plastic surgeon AI visibility playbook.
B2B SaaS: post-G2-Capterra consolidation, vertical sub-niches still open
The consolidation event reshaped the citation pipeline. G2’s February 5 2026 acquisition of Capterra, Software Advice, and GetApp from Gartner unified four review surfaces into one. The combined entity now reaches 200M+ annual buyers with 6M+ verified reviews. The G2 Answer Economy Report (April 15 2026, n=1,076) measured the buyer-side response: 51% of B2B software buyers start research in AI chatbots, up from 29% eleven months earlier; 71% rely on AI chatbots somewhere in software research; 93% say AI chatbots fundamentally changed their research process; 86% increased AI chatbot use over the past year.
What share does each AI chatbot hold inside B2B software research?
G2’s April 2026 data places ChatGPT at 62% of B2B AI-chatbot share (up from 47%), Gemini at ~18%, Copilot at ~9%, Claude at ~7%, and Perplexity at ~2%. Forrester’s 2026 Buyer Insights survey separately found that 94% of B2B buyers use ChatGPT, Perplexity, or Gemini to build vendor shortlists. The top citation sources influencing shortlist (G2 2026) are: AI chatbots 54%, software review sites 43%, market research firms 36%, vendor sites 36%, peers 33%, independent forums 30%.
44% of B2B SaaS companies are functionally invisible to AI buyers (Common Mind State of AI Visibility B2B SaaS 2026). 73% of B2B buyers use AI tools in their research process; 69% choose a different vendor than initially planned based on AI chatbot guidance; 33% purchase from a vendor they were not previously familiar with (PR Newswire March 2026). AI traffic converts 4.4× higher than traditional organic across the same study.
The competitive field at the generic SaaS level is heavily contested — Discovered Labs, Omniscient Digital, Foundation Inc., AuthorityTech, Powered by Search, and Metricus all publish vertical SaaS GEO content. The vertical sub-niches (health-tech, legal-tech, fintech) remain open arenas where no GEO agency leads. The full hub — including the 15 prompts that move $15K–$150K ACV deals and the post-G2-merger directory map — is at the B2B SaaS vertical-niche AI playbook.
Cosmetic and implant dentists: AACD’s own ChatGPT commentary, plus a platform trap
Cosmetic dentistry’s market is projected to surpass $5.6B in 2026 (Datasource via DSM Cosmetic Dentist 2026). Single dental implant + crown runs $3,100–$5,800 (Imagine Your Smile 2026); veneers $900–$2,500 per tooth (Savage-Smiles 2026), with 8–10 teeth per case typical, putting cases at $7,200–$25,000; full-arch All-on-4 / All-on-X is typically $20K–$50K per arch (industry standard, multiple practitioner sources). The American Academy of Cosmetic Dentistry has published its own commentary on ChatGPT’s impact on cosmetic-dental SEO (“Tooth or Consequence”, AACD 2026) — an unusual signal that the vertical is aware of the shift.
The directory map for cosmetic dentists differs from family dentistry: the AACD directory itself, ADA Find-a-Dentist (Plan-listed but not surfaced as a named citation source in 2026 studies), RealSelf veneer/smile-makeover overlap, and Reddit r/Dentistry / r/askdentists. There is no dental-specific 2026 AI citation share study located — the first published audit is an open Wave 2 data drop. The platform-side wedge is the niche template providers ProSites, PBHS, and Sesame Communications, which lock CMS internals; many block schema editing entirely.
The Pillar-2 cluster article on the AACD-side citation surface lives at the cosmetic dentist AACD citations cluster. The platform-side wedge — why ProSites and Sesame templates block citation by design — is covered at the ProSites and Sesame dental platform trap.
Accountants and fractional CFOs: the empty category
Accountants are the sleeper. Buyer-side AI adoption percentages for accounting clients are not directly sourced in 2026, but the supply-side momentum is documented: CPA Trendlines published “Outlook 2026: Agentic AI Reaches the Tipping Point in Tax and Accounting Firms” on January 10 2026, and CPA Practice Advisor ran “The Next Accounting Revolution” on January 5 2026. Fractional CFO retainers run $3K–$12K/mo (Fractional CFO School 2026, Eightx 2026), with industry tiers at $3K–$6K simple, $6K–$12K standard, and $10K–$20K premium. SaaS engagements typically command $5K–$12K/mo at $200–$400/hr.
Which directories does ChatGPT cite for accountants in 2026?
AICPA Directory (431,000+ professionals across 188 countries), the IRS RPO Preparer Directory, RamseyTrusted, state CPA society directories, and CPA Practice Advisor editorial — but no 2026 study has measured which AI engines prefer which directories for fractional CFO and tax-niche queries. The competitive field is practically empty: generic accounting SEO agencies exist, but none productized as GEO-first for CFO advisory. ConnectEra’s first per-prompt scan (“Top 50 fractional CFO for SaaS prompts: who ChatGPT cites in May 2026”) is a Wave-2 white-space data drop.
The regulatory frame is IRS Circular 230, the AICPA Code of Professional Conduct, state CPA boards, and PTIN requirements for paid federal tax preparers — comparable to the FINRA frame for advisors and citable on the same compliance angle. The Pillar-2 vertical-prompts cluster lives at fractional CFO SaaS citation prompts; the platform-side audit (CPASite Solutions, GetNetSet, niche CPA themes on WordPress) lives at the CPA platform lock-in GEO audit.
Top-25% real-estate agents: the FlyDragon arbitrage window
The April 14 2026 FlyDragon Real Estate AI Visibility Benchmark is the strongest single arbitrage stat in the entire research register. Sample: 12,400 AI responses, 8.2 million queries, 192 metros, January through March 2026. Headline numbers: 91% of US real-estate agents are effectively invisible to AI search; 67% of homebuyers use AI tools as a primary agent-research tool; 61.3% of buyer-side real-estate searches begin in AI search engines; the top 1% of agents capture 47% of all AI citations; 71% of US metros have no single agent above 15% citation share; agents who started AI-SEO in early 2025 have a 5.7× citation-share advantage over agents who started late 2025.
Why is real estate the largest 2026 vertical arbitrage?
FlyDragon’s data shows the citation graph forming in real time across 192 metros, with 71% of those metros uncontested (no agent above 15% share) as of Q1 2026. Concentration is happening but not yet locked: the top 1% already take 47%, and the 5.7× early-mover advantage between January and December 2025 quantifies the closing window. AI-sourced real-estate prospects close at 70% within 30 days versus 2.4% for Zillow Premier Agent leads — a 4.2× advantage that turns each citation into measurable revenue.
Zillow’s share of agent-discovery traffic dropped from 41.2% to 33.8% year over year (HousingWire 2026). AI responses recommend major portals 65–90%+ of the time, national brokerage brands 20–40%, and local brokerages less than 1% (Metricus Real Estate AI Visibility 2026). The top-1% threshold for elite agents is $1M+ in gross commission income (Real Estate News 2026, Luxury Presence 2026), and 2026 buyer’s-agent commissions rebounded to 2.82% post-NAR settlement (Foxes Sell Faster 2026).
The platform side is the second wedge. The agent IDX/CRM stack — Luxury Presence, Real Geeks, Sierra Interactive, Placester — is mostly template-locked and GEO-trapped. Premium tier (Luxury Presence + RealScout) sits on custom Webflow / Next.js, but the rest of the segment publishes on builders that block schema editing by design. The metro-level cluster article is at the real-estate FlyDragon metro arbitrage cluster; the platform-wedge audit is at the Luxury Presence and Real Geeks GEO audit.
Premium HVAC: the 87%-invisible category with $20K+ tickets
Premium HVAC is the home-services anchor for Pillar 2. Plumbing & Mechanical magazine and Metricus jointly reported in May 2026 that 87% of HVAC and plumbing contractors are invisible when homeowners ask AI (Plumbing & Mechanical 2026, Metricus Home Services 2026). Even contractors with 800+ five-star Google reviews and 30 years of customer relationships have effectively zero AI citation share in their metro. 45% of consumers now use AI assistants to find local services in 2026 (Metricus 2026).
Where do AI engines route HVAC queries when no contractor is named?
When AI cannot identify specific contractors, it routes to Angi, HomeAdvisor, Thumbtack, and Yelp marketplaces (Plumbing & Mechanical via Metricus 2026). Trane Comfort Specialist and Lennox Premier Dealer programs are the two manufacturer-side citation surfaces — manufacturer-credentialed dealers enter a query family (“Trane Comfort Specialist near me”) that uncredentialed contractors cannot reach. The premium tier lives where the dealer credential, the GBP review base, and the BBB / state-licensing graph compound.
Premium variable-speed whole-home installs run $12K–$20K+; the Trane XV20i ultra-premium installs at $12K–$20K; Trane XL17i high-efficiency at $17.2K–$26K; AC + gas furnace matched system $8.5K–$18K (Trane 2026, HVAC Services Pro 2026). The March 2026 HVAC price-fixing class action (Bosch, Carrier, Daikin, Lennox, Rheem, Trane, AAON named) generates a recurring news-cycle hook for compliant content. The vertical-side cluster on the Trane / Lennox citation graph is at the premium HVAC Trane Lennox citations cluster; the platform-side audit (Astound, Scorpion, Hibu, Yodle-style HVAC builders with AI-blocking JS) lives at the HVAC platform website blockers cluster.
Lawyers: the seven-directory monopoly that forecloses content marketing
Lawyers is the Pillar 2 carve-out. The 5WPR / Haute Lawyer report (April 29 2026) confirmed the canonical seven directories owning the legal AI citation layer: Chambers, Legal 500, Super Lawyers, Best Lawyers, Martindale, Avvo, and Justia. FindLaw at approximately 85% AI mention rate (Metricus Law Firm AI Visibility 2026) is the highest single-domain citation rate of any directory across any vertical we found in 2026. Avvo (~80%), Justia (~70%), LegalZoom (~60%), Martindale-Hubbell (~45%), Nolo (~35%), and Super Lawyers (~30%) round out the named ladder — average local firms land below 1%.
Why is lawyers a productized offer instead of a content vertical?
The seven-directory monopoly is structural: AI engines route legal queries through Chambers, Legal 500, Super Lawyers, Best Lawyers, Martindale, Avvo, Justia, and FindLaw at 85%. Independent firm blogs do not enter the citation graph at any meaningful share (less than 1%, Metricus 2026). The work that moves the needle is directory mastery — being the named partner inside the seven — not publishing more articles. ConnectEra’s offer for legal is a 90-day directory-mastery sprint, decoupled from the content engine that serves every other vertical.
The regulatory weight tightens the case. United States v. Heppner (SDNY, Judge Rakoff, February 17 2026) ruled that AI conversations are not attorney-client privileged. Sullivan & Cromwell apologized in April 2026 for 28 erroneous citations in the Prince Global Holdings Chapter 15 filing. California fined an attorney $10,000 in September 2025 after 21 of 23 quotes were fabricated. ABA Formal Opinion 512 governs competence, confidentiality, and client communication for GenAI use; state bar advertising rules govern firm marketing claims, “specialist” usage, and testimonials. The 5WPR / Haute Lawyer report projects the cost of equivalent authority will rise 50–80% compounded annually over the next 24 months — directories are pre-approved compliance surfaces, and the price for being inside them is going up.
The Pillar-2 cluster on the seven-directory framework is at the lawyer 7-directory monopoly cluster; the citation-share data behind the monopoly thesis is at the FindLaw, Avvo, and Justia citation share cluster.
How to build the 25 vertical-anchored prompts
Every vertical above operates on a stable prompt grammar. The grammar is “[adjective] [provider type] for [audience] in [metro]” plus three adjacent variants: “best”, “top”, “compare”. The prompts that move money are the ones a buyer asks before a form-fill, because 70% of the B2B decision journey is now completed before first form-fill (6sense 2026 via Deep Marketing) and the patient / client / homeowner equivalents are tracking similar pre-qualification ratios.
What does a 25-prompt vertical anchor look like in practice?
Take the financial-advisor pattern. Five prompts target metro plus specialty (“fee-only CFP for physicians in Boston”). Five target asset level plus event (“advisor for sale-of-business proceeds, $5M+”). Five target a regulatory or planning niche (“CFP for federal employees TSP rollover”). Five target a directory or credential filter (“NAPFA advisor for retirement income planning, Phoenix”). Five target a comparison query (“flat-fee vs AUM advisors for $2M portfolio”). The set covers the entity graph the engine actually walks — directories, named firms, niches, comparisons, regulatory frames.
The 25-prompt set is the unit of work in every vertical hub. ConnectEra’s per-vertical citation theft report runs the 25 prompts through ChatGPT, Claude, Perplexity, and Google AI Overviews and maps the citations against the vertical’s directory ladder. The output is the entity-graph gap: which named entities appear in the engine’s answer, which surfaces (Wikipedia, Reddit, the vertical’s directories) feed those entities, and what the firm’s own page is missing relative to the cited surfaces. The technique that closes the gap is the same across verticals — answer capsules, FAQPage schema, sameAs / knowsAbout entity-graph wiring — but the entity graph that actually gets wired is vertical-specific.
Where each vertical lives in the ConnectEra content map
The four vertical hubs anchor Wave 1 and Wave 2: financial-advisor-ai-visibility-playbook, medspa-ai-visibility-playbook, plastic-surgeon-ai-visibility-playbook, and b2b-saas-vertical-niche-ai-playbook. The four verticals housed inside Pillar 2 directly — cosmetic dentists, accountants, real estate, HVAC — own two cluster articles each: a vertical-side prompt or directory cluster, and a platform-side wedge. Lawyers takes two clusters under Pillar 2 (the 7-directory monopoly and the FindLaw, Avvo, and Justia citation-share map) but no full hub, because the productized offer is the right shape for the vertical, not a content engine.
The platform context — which CMS each vertical’s average site is built on, and where the citation ceiling sits inside that platform — is the orthogonal axis. A medspa on Squarespace 7.1 with an unfixable canonical tag, a financial advisor on a Twenty Over Ten template, a plastic surgeon on plugin-stack-dependent WordPress, an HVAC contractor on a Yodle-style builder with AI-blocking JS: the vertical playbook tells you which directories to enter, but the platform-vs-AI citation guide tells you whether the platform you are on can support the entry at all.
What the permanent skip list tells you about category fit
The eight verticals above survive the four-test filter. The categories below failed at least two of the four (deal size, AI adoption, citation-share gap, hookable 2026 event):
- Restaurants — OpenTable plus the ChatGPT plugin own restaurant recommendations end-to-end; ticket size too small to justify a retainer.
- Hotels — Booking.com, Expedia, and TripAdvisor own ChatGPT travel apps via the OpenAI Apps SDK partnership; only 8% of travelers use AI for trip planning (Skift March 2026).
- Locksmiths, cleaning services, auto shops, salons, fitness studios, chiropractors, vets, photographers, tutors, property managers — marketplace lock (Yelp, Angi, Thumbtack, Mindbody, Wyzant, Upwork, NARPM) and ticket size below the retainer floor.
- General cannabis dispensaries — Weedmaps and Leafly own AI citation; banking and payment regulatory drag.
- General medical clinics, general family dentistry — Healthgrades, Zocdoc, Vitals, RateMDs, ADA Find-a-Dentist, insurance-network gating; per-visit ticket below the retainer floor (which is precisely why cosmetic dentistry — at $7K–$50K cases — is the carve-in).
- General e-commerce — the Walmart-OpenAI partnership and ACP-integrated retailers (Target, Sephora, Nordstrom, Lowe’s, Best Buy, Home Depot, Wayfair) own AI shopping; AI is 1.5% of US retail e-com in 2026 (~$20.9B, Digital Commerce 360 March 2026), routed through major retailers.
- Agencies — conflict of interest with the offer.
The skip list is itself a vertical-pattern document: marketplace dominance plus low ticket size plus regulatory drag are the three failure modes. Any new vertical proposed for the content engine should be tested against the same four-filter / three-failure grid before it enters production.
What citation looks like when it works
The pattern across the eight viable verticals is consistent. The buyer asks a question that looks generic (“best fiduciary advisor in Austin”, “where should I get Botox”, “best rhinoplasty surgeon in Dallas”, “best fractional CFO for SaaS startups under $5M ARR”, “best HVAC contractor near me for whole-home replacement”). The engine walks an entity graph specific to the vertical, surfaces three to five named entities, and routes the user. Inside each vertical, the named entities are concentrated — 15 brands take 62% of medical aesthetics; 7 directories own legal; the top 1% of agents take 47% of real estate; 87% of HVAC contractors are invisible.
The work that closes the gap between independent and cited is structural, not editorial. The 40–60 word answer capsule format that earns the citation, the FAQPage schema that lifts citation rate, the entity-graph completeness study showing 61.7% citation rate at full schema versus 41.6% at sparse (Growth Marshal February 2026, n=1,006 / 730 citations), the 458-day freshness premium between ChatGPT-cited pages and Google’s organic median — these techniques apply across every vertical. The graph they point at is what differs.
