Proof. Documented. Replicable.
Real engagements. Documented metrics. The diagnosis, the steps we ran, the numbers we tracked, and the verified outcome — for every business listed below.
record_types
- CLIENT real, verified engagement
- FIELD STUDY original research over public data
- MODEL illustrative scenario — not a client
7 records logged · 2 client · 2 field study · 3 model
CLIENT · Residential & Commercial Cleaning
Position 13 to 2 in 90 Days.
A five-year-old Gainesville cleaning company climbed from page two to position #2 across its entire service area in 90 days — by making the same brand legible to Google instead of doing more.
- Lanier Pristine
- Gainesville, GA · 90 Days
- #13 to #2
Avg. Map Pack Position
- 18% to 73%
Map Pack Visibility
- 41 to 168
GBP Calls / Month
CLIENT · Quick-Service Restaurant
814% Organic Traffic Growth.
A two-location Oahu fish-taco brand grew organic search 9× and online-order click-throughs to DoorDash 6× in 6 months — without a single new backlink or a dollar of paid ads.
- North Shore Tacos
- Hauʻula & Haleʻiwa, HI · 6 Months
- 1,400 to 12,800
Organic Sessions / Mo
- #5.5 to #1.5
Avg. Map Pack Position
- 18 to 108
Online Order Clicks / Mo
FIELD STUDY · Market Analysis (Vertical Slice)
Who AI Cites in Hawaii.
Market-level analysis using our public benchmark dataset — which Hawaii hotels, restaurants, tour operators, and wedding venues actually get cited by Anthropic Claude, and which categories are systematically underrepresented. Not a client engagement summary.
- Hawaii AI Citation Analysis
- Hawaii — Hospitality Vertical · Benchmark (May 2026)
- 15 named
Hotels Analyzed
- 12 named
Restaurants Analyzed
- 5 patterns
Visibility Gaps Documented
MODEL · Boutique Hotel (Modeled Scenario)
Recovering ~$75K/yr From OTA Commissions.
An illustrative model — not a client. How a 37-room independent Waikiki hotel could move direct-booking share from 41% to 58%, and what that shift is worth, using the Reef Method and real, documented Hawaii hospitality benchmarks.
- Waikiki Boutique Hotel — Modeled Scenario
- Waikiki, Oahu (Modeled) · 12-Month Model
- 41% to 58%
Direct Share (Modeled)
- ~$75K
OTA Recovery / Yr (Modeled)
- ~2.1×
Year-One Return (Modeled)
MODEL · Real Estate Brokerage (Modeled Scenario)
Cutting Cost-Per-Close From ~$45K to ~$6K.
An illustrative model — not a client. How a Hawaii real-estate team could escape the portal-lead trap, where a single closed deal can cost ~$45K in lead spend, by building an owned organic pipeline with the Reef Method.
- Hawaii Real-Estate Team — Modeled Scenario
- Hawaii (Modeled) · 12-Month Model
- ~$45K
Portal Cost / Close (Modeled)
- ~$6K
Owned Cost / Close (Modeled)
- ~7.5×
Improvement (Modeled)
MODEL · Home Services (Modeled Scenario)
Recovering ~$43K/yr From Paid-Lead Dependence.
An illustrative model — not a client. How a Hawaii home-services operator could move ~60% of lead volume off paid search and onto the Google local 3-pack with the Reef Method — and what that shift is worth.
- Hawaii Home-Services Operator — Modeled Scenario
- Hawaii (Modeled) · 12-Month Model
- ~$72K
Annual Paid-Lead Spend (Modeled)
- ~$43K
Lead-Cost Saved / Yr (Modeled)
- ~60%
Volume to Local Pack (Modeled)
FIELD STUDY · Market Analysis (Vertical Slice)
Why AI Struggles to Cite Hawaii Real Estate.
A structural analysis — not a client engagement. Why Hawaii real-estate websites are systematically hard for AI engines to cite, the four patterns behind it, and the measurement framework, applying our published Reef Citation Index methodology to the real-estate vertical.
- Hawaii Real-Estate AI Visibility
- Hawaii — Real Estate Vertical · Analysis (May 2026)
- 4 patterns
Structural Gaps Analyzed
- 4 layers
Reef Layers Mapped
- 8 checks
Self-Audit Checks
Every case study above is the work product of three integrated services running together, governed by one repeatable method.
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