Case Study Category: GEO

Energy technology intent mapping and technical content architecture engineered to capture early buyer and investor citations across AI search platforms.

Trademark Filing Journey Mapping and Procedurally Grounded Content Architecture That Built Trademark Engine’s Citation Presence Across the IP Research and Registration Queries Business Owners Bring to AI Before Filing

Treatment Intent Mapping and Procedure-Level Content Architecture That Grew Robison Dental’s AI Citations Sixfold Across the Dental Care and Procedure Queries Patients Research Before Choosing a Dentist

Treatment Query Mapping and Condition-First Content Architecture That Built Crossroads ME’s Citation Presence Across the Addiction and Behavioral Health Queries People Bring to AI When Seeking Treatment

Licensing Process Content Architecture and Education Citation Building That Grew RealtyCourse’s Citations From 85 to 242 Across the Real Estate Licensing Queries Prospective Agents Ask Before Enrolling

Condition-Specific Content Architecture and Healthcare Citation Building That Took PrimeSpines From 9 AI Mentions to 29 Across Spine Health and Pain Management Queries

Occasion Intent Mapping and Editorial Citation Building That Took Amarra From Structurally Absent to a Consistent AI Recommendation Across Prom, Black Tie, and Formal Fashion Queries

Ingredient Intent Mapping and Science-Structured Content Architecture That Built InCellDerm’s Citation Presence Across the Skin Concern and Formulation Queries Where AI Skincare Recommendations Begin

Structured technical content across fragmented procurement intents built EGC Supply into a consistently cited B2B industrial source from a near-zero baseline.

Intent-mapped content architecture and E-E-A-T signal reinforcement that moved Titan Funding from a low AI visibility score into the LLM recommendation layer for private real estate lending borrowers.