Cosmetic surgery and med spaCosmetic surgery practice, major Texas metro
The business: Multi-surgeon cosmetic surgery practice offering rhinoplasty, breast augmentation, liposuction, facelifts, and non-surgical treatments (Botox, fillers, laser). Established practice with strong word-of-mouth referrals but no AI presence.
Before Yazeo: When prospective patients asked ChatGPT "best cosmetic surgeon in [their city]" or "top rhinoplasty surgeon near me," the practice wasn't mentioned. Three competing practices appeared consistently. Google AI Overviews for "breast augmentation [city]" featured two competitors. Perplexity cited competitor websites exclusively.
What we built: Procedure-specific content pages for every service offered, each written to answer the exact questions patients ask AI: "How much does rhinoplasty cost in Texas?", "What's the recovery time for a mommy makeover?", "Best age for a facelift." Surgeon credential pages documenting board certifications, fellowship training, and procedure volume. Before-and-after results described in text (not just photos, because AI reads text). Schema markup for Medical Business, Physician, and Medical Procedure types. Review strategy across Google, Real Self, and Healthgrades with prompts encouraging patients to describe their specific procedure and outcome.
After 120 days: ChatGPT began recommending the practice for four procedure-specific queries including rhinoplasty and breast augmentation. Google AI Overviews included the practice for "cosmetic surgeon [city]" queries. Perplexity cited two of their procedure pages with direct links.
Business impact: The practice reported new patient consultations mentioning "ChatGPT recommended you" within the first five months. Average consultation value in cosmetic surgery ranges from $8,000 to $15,000+ per procedure, meaning a single AI-referred patient represented significant revenue. The managing partner noted that AI-referred patients arrived better researched and more committed than patients from other channels.
Multi-location dental group, Southeast US
The business: Five-location dental group offering general dentistry, cosmetic dentistry, Invisalign, dental implants, and pediatric dentistry. Strong local reputation. Active Google Ads. Zero AI visibility.
Before Yazeo: None of the five locations appeared in any AI response for any dental query in their markets. Competing practices, including some with fewer reviews and less experienced dentists, owned every AI recommendation.
What we built: Location-specific content for each of the five practices, each targeting the specific suburb and community it serves. Procedure pages for high-value services (implants, Invisalign, cosmetic dentistry) written to answer the questions patients ask AI. Schema markup across all five websites. Review strategy targeting Google and Healthgrades with procedure-specific prompts. Directory synchronization across 15 platforms per location.
After 120 days: Three of five locations appeared in ChatGPT responses for area-specific dental queries. The flagship location appeared for four query types including "best dentist for implants in [city]." Google AI Overviews featured two locations for general dentistry queries.
After 6 months: All five locations appeared in at least one AI platform. The group reported a measurable new patient segment attributing their discovery to AI. New patients mentioning ChatGPT or "Google's AI suggested you" became a weekly occurrence across locations.
Personal injury law firm, competitive Northeast market
The business: Mid-size personal injury firm handling motor vehicle accidents, medical malpractice, workplace injuries, and wrongful death. Strong Google ranking (page one for primary keywords). Active TV and radio advertising. Completely invisible on AI platforms.
Before Yazeo: The firm ranked on page one of Google for "personal injury lawyer [city]" but ChatGPT didn't mention them at all. Two competing firms with weaker Google rankings but stronger entity signals dominated AI recommendations. Google AI Overviews featured a different set of competitors than Google organic results.
What we built: Practice-area content addressing the specific questions injury victims ask AI: "How much is my car accident case worth?", "Do I need a lawyer for a slip and fall?", "How long does a personal injury case take in [state]?" Attorney credential pages with bar admissions, verdicts, and settlements described in text. Schema markup for Legal Services and Attorney types. Review strategy focused on Google and Avvo with outcome-specific prompts. Authority building through state bar association features and local media legal commentary.
After 90 days: ChatGPT began recommending the firm for three practice-area queries. Perplexity cited their "How much is my case worth" content with a direct link. Google AI Overviews included them for "personal injury lawyer [city]" queries for the first time.
Business impact: One AI-referred medical malpractice case in the first six months generated fees that covered the firm's entire annual ARO investment multiple times over. The managing partner noted that AI-referred clients arrived with a clearer understanding of the legal process because they'd already read the firm's educational content.
HVAC company, mid-size Southern market
The business: Residential and light commercial HVAC company offering AC repair, heating repair, installation, and maintenance plans. 15 technicians. Strong service area reputation. One competitor dominated every AI recommendation in their market.
Before Yazeo: When homeowners asked ChatGPT "HVAC company near me" or "AC repair in [city]," one competitor appeared in every response. Our client was never mentioned despite having more experience, more technicians, and comparable reviews.
What we built: Service-specific pages for every offering: emergency AC repair, furnace repair, new system installation, maintenance plans, and indoor air quality. Content targeting the urgent queries homeowners ask during breakdowns: "AC not cooling, what's wrong?", "How much does a new HVAC system cost in [state]?" Schema markup for Home and Construction Business and Service types. Review strategy targeting Google and HomeAdvisor with service-specific and response-time prompts. Directory synchronization across 18 platforms.
After 120 days: ChatGPT began recommending them alongside their primary competitor for four emergency service queries. Google AI Overviews featured them for "AC repair [city]" queries.
Business impact: AI-referred emergency calls became a measurable new revenue stream. The owner reported that AI-referred customers mentioned faster response time and transparent pricing as their reasons for choosing the company, both points emphasized in the optimized content. Average emergency HVAC job value: $800 to $3,500.
Wealth management firm, major metro
The business: Independent wealth management firm with three advisors managing portfolios for high-net-worth individuals. AUM (assets under management) in the hundreds of millions. Entirely referral-dependent for new client acquisition. No AI presence.
Before Yazeo: When affluent individuals asked ChatGPT "best financial advisor in [city]" or "wealth management firm near me," the firm didn't appear. Larger wire houses and robo-advisors dominated AI recommendations despite the firm's superior personalized service.
What we built: Service pages addressing specific wealth management needs: retirement planning, estate planning, tax-efficient investing, and portfolio management for business owners. Content targeting the questions high-net-worth individuals ask AI: "How much does a financial advisor cost?", "Fee-only vs commission financial advisor, which is better?", "When should I hire a wealth manager?" Advisor credential pages with CFP and CFA designations, years of experience, and investment philosophy. Schema markup for Financial Service and Financial Product types. Review strategy on Google with client-outcome prompts (respecting confidentiality). Authority building through financial publication contributions and professional association features.
After 90 days: Perplexity began citing the firm's "fee-only vs commission" content with a direct link. ChatGPT included the firm in responses for "independent financial advisor [city]" queries.
After 6 months: Consistent AI recommendations across ChatGPT and Google AI for multiple wealth management query types.
Business impact: Two AI-referred high-net-worth clients in the first year, each bringing portfolios that generated advisory fees far exceeding the annual ARO investment. The lead advisor noted that AI-referred prospects were specifically seeking independent, fee-only advisors, exactly the positioning the optimized content established.
Fine dining restaurant, Western US metro
The business: Chef-owned fine dining restaurant. 60 seats. Seasonal tasting menu. Strong local following but invisible to tourists and newcomers discovering dining through AI.
Before Yazeo: Three competing restaurants appeared in every ChatGPT dining recommendation for the city. Google AI Overviews featured two of those same competitors. The restaurant was absent despite comparable quality and pricing.
What we built: Experience-focused website content describing the dining atmosphere, the chef's background, the seasonal menu philosophy, and the sourcing story in vivid text. Content targeting specific dining queries: "best restaurant in [city] for a special occasion," "tasting menu [city]," "fine dining [city] with wine pairing." Schema markup for Restaurant type with menu descriptions. Review strategy across Google, Yelp, and TripAdvisor with experience-specific prompts. Authority building through local food media features and culinary association memberships.
After 60 days: Google AI Overviews began featuring the restaurant for cuisine-specific queries. ChatGPT included them for "special occasion restaurant [city]" queries within 90 days.
Business impact: Weekend reservations from first-time diners increased noticeably. The chef-owner reported that AI-referred guests consistently booked the premium tasting menu with wine pairing (the highest-value option) because the content had positioned it as the signature experience. Average per-table revenue from AI-referred diners was approximately 40% higher than the overall average.
Luxury real estate agent, coastal market
The business: Individual agent specializing in luxury residential properties ($2M+) in a competitive coastal market. Top producer in their brokerage. Strong referral network. No AI visibility.
Before Yazeo: When high-net-worth buyers asked ChatGPT "best real estate agent in [area] for luxury homes" or "top realtor [coastal market]," two competing agents appeared consistently. Our client was absent despite outselling both in the previous year.
What we built: Area-specific luxury market guides: "Buying a Waterfront Home in [area]: What You Need to Know," "Best Neighborhoods in [market] for Luxury Living," and "[Market] Real Estate Market 2026: Price Trends and Opportunities." Agent credential page with sales volume, transaction history, and luxury certifications. Schema markup for Real Estate Agent type. Review strategy on Google and Zillow with transaction-specific prompts. Authority building through luxury real estate publication features.
After 90 days: ChatGPT began including the agent in luxury real estate recommendations for their market. Perplexity cited their market guide with a direct link.
Business impact: Two AI-referred luxury transactions in the first year. At the agent's commission rate on $2M+ properties, the revenue from those two transactions alone represented a return many times the ARO investment. The agent noted that AI-referred buyers arrived already familiar with the local market because they'd read the area guides, making the sales process more efficient.
Commercial roofing contractor, Midwest
The business: Commercial roofing company serving warehouses, retail centers, office buildings, and industrial facilities. 25-person crew. Strong B2B reputation. Invisible to AI.
Before Yazeo: When property managers asked ChatGPT "commercial roofer in [city]" or "flat roof repair near me," two competitors appeared. Our client wasn't mentioned despite having more commercial experience and better safety records.
What we built: Service-specific content for commercial roofing types: TPO, EPDM, modified bitumen, metal roofing, and roof coating. Content targeting the questions property managers ask AI: "How much does a commercial roof replacement cost?", "TPO vs EPDM, which is better for my building?", "How often should a commercial roof be inspected?" Safety and certification documentation (OSHA compliance, manufacturer certifications, bonding and insurance). Schema markup for Commercial Business and Service types. Review strategy on Google with project-specific prompts from property managers. Directory presence on commercial contractor platforms.
After 120 days: ChatGPT began recommending them for commercial roofing queries in their market. Google AI Overviews featured their roofing comparison content.
Business impact: Three AI-referred commercial projects in the first six months. Commercial roofing projects range from $50,000 to $500,000+. The operations manager noted that AI-referred property managers arrived with specific technical questions drawn from the comparison content, indicating they'd already evaluated the company's expertise before making contact.
Cosmetic dermatology clinic, Sun Belt market
The business: Board-certified dermatologist offering both medical and cosmetic dermatology. Treatments include Botox, fillers, laser resurfacing, chemical peels, acne treatment, and skin cancer screening. Strong patient base but no AI visibility.
Before Yazeo: Patients asking ChatGPT "best dermatologist for Botox in [city]" or "cosmetic dermatologist near me" received recommendations for three competing practices. Our client's clinic wasn't mentioned.
What we built: Treatment-specific pages for every cosmetic and medical service. Content addressing the specific questions cosmetic dermatology patients ask AI: "How much does Botox cost?", "Botox vs fillers, which do I need?", "Best treatment for acne scars in adults." Physician credential page with board certification, fellowship training, and published research. Schema markup for Medical Business and Medical Procedure. Review strategy across Google, Real Self, and Healthgrades with treatment-specific prompts. Authority building through dermatology association features and local health media contributions.
After 90 days: ChatGPT began recommending the clinic for three treatment-specific queries including Botox and laser resurfacing. Perplexity cited their "Botox vs fillers" content.
Business impact: AI-referred patients booking cosmetic treatments became a recognizable monthly segment. Average cosmetic dermatology patient value: $2,000 to $8,000+ annually in recurring treatments. The dermatologist noted that AI-referred patients were more likely to book multiple treatments because the content had educated them about complementary procedures.
