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//.proof_log

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.

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> 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
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//.case_study_001
Lanier Pristine — Position 13 → 2 in 90 Days. case study
REF: NK-001

Lanier Pristine // Gainesville, GA · 90 Days

Position 13 → 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.

METRIC_01

#13 → #2

Avg. Map Pack Position

METRIC_02

18% → 73%

Map Pack Visibility

METRIC_03

41 → 168

GBP Calls / Month

Read the Full Case Study ⟶
//.case_study_002
North Shore Tacos — 814% Organic Traffic Growth. case study
REF: NK-002

North Shore Tacos // Hau‘ula & Haleiwa, HI · 6 Months

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.

METRIC_01

1,400 → 12,800

Organic Sessions / Mo

METRIC_02

#5.5 → #1.5

Avg. Map Pack Position

METRIC_03

18 → 108

Online Order Clicks / Mo

Read the Full Case Study ⟶
//.case_study_003
Hawaii AI Citation Analysis — Who AI Cites in Hawaii. case study
REF: NK-003

Hawaii AI Citation Analysis // Hawaii — Hospitality Vertical · Volume 1 (May 2026)

Who AI Cites in Hawaii.

Market-level analysis using our public Volume 1 dataset — which Hawaii hotels, restaurants, tour operators, and wedding venues actually get cited by AI engines, and which categories are systematically invisible. Not a client engagement summary.

METRIC_01

15 named

Hotels Analyzed

METRIC_02

12 named

Restaurants Analyzed

METRIC_03

5 patterns

Visibility Gaps Documented

Read the Full Case Study ⟶
//.case_study_004
Waikiki Boutique Hotel — Modeled Scenario — Recovering ~$75K/yr From OTA Commissions. case study
REF: NK-004

Waikiki Boutique Hotel — Modeled Scenario // Waikiki, Oahu (Modeled) · 12-Month Model

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 2026 Hawaii hospitality benchmarks.

METRIC_01

41% → 58%

Direct Share (Modeled)

METRIC_02

~$75K

OTA Recovery / Yr (Modeled)

METRIC_03

~2.1×

Year-One ROI (Modeled)

Read the Full Case Study ⟶
//.case_study_005
Hawaii Real-Estate Team — Modeled Scenario — Cutting Cost-Per-Close From ~$45K to ~$6K. case study
REF: NK-005

Hawaii Real-Estate Team — Modeled Scenario // Hawaii (Modeled) · 12-Month Model

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.

METRIC_01

~$45K

Portal Cost / Close (Modeled)

METRIC_02

~$6K

Owned Cost / Close (Modeled)

METRIC_03

~7.5×

Improvement (Modeled)

Read the Full Case Study ⟶
//.case_study_006
Hawaii Home-Services Operator — Modeled Scenario — Recovering ~$43K/yr From Paid-Lead Dependence. case study
REF: NK-006

Hawaii Home-Services Operator — Modeled Scenario // Hawaii (Modeled) · 12-Month Model

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.

METRIC_01

~$72K

Annual Paid-Lead Spend (Modeled)

METRIC_02

~$43K

Lead-Cost Saved / Yr (Modeled)

METRIC_03

~60%

Volume to Local Pack (Modeled)

Read the Full Case Study ⟶
//.case_study_007
Hawaii Real-Estate AI Visibility — Why AI Struggles to Cite Hawaii Real Estate. case study
REF: NK-007

Hawaii Real-Estate AI Visibility // Hawaii — Real Estate Vertical · Analysis (May 2026)

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.

METRIC_01

4 patterns

Structural Gaps Analyzed

METRIC_02

4 layers

Reef Layers Mapped

METRIC_03

8 checks

Self-Audit Checks

Read the Full Case Study ⟶
//.behind_the_work

Every case study above is the work product of three integrated services running together, governed by one repeatable method.

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//.your_turn

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