Case Studies & Results
Exposing the challenge, optimization logic, and resulting recommendation shifts across major conversational search platforms.
Fortis Mental Health Group (Simulated)
The Challenge
Despite having highly rated clinical psychologists, the group was invisible on ChatGPT and Gemini when regional prospects searched for therapy options.
The Discovery
AI models scrapers were pulling records from outdated local registries and unstructured doctor directories, bypassing the main site completely.
The Strategy
We built highly structured therapist profile schemas, established key research citations, and published crawlable authority articles on anxiety therapies.
The Outcome
Achieved dominant recommendation placement for top therapist queries in Bangalore on ChatGPT and Gemini within 90 days.
"Having professional credentials is not enough; your authority must be readable by AI index crawlers."
AssetGrow CRM (Simulated)
The Challenge
The software company was losing market share to older competitors because AI platforms recommended them instead.
The Discovery
Competitor brands had established strong citation records in leading open-source LLM datasets and developer Q&A repositories.
The Strategy
We engineered a technical citation campaign, optimized their user documentation index, and established founder-led authority publications.
The Outcome
Inbound recommendations on Perplexity and OpenAI increased. Leads originating from AI searches grew 2.4x in 4 months.
"B2B buyers query AI systems for product reviews. Being indexed with correct feature lists drives high-intent leads."
