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GEO Case Studies: Real Results

Discover how Generative Engine Optimization drives AI-powered visibility, GPT indexing, and measurable growth for brands across industries.

Illustration showing measurable GEO impact

GEO: Measurable Impact, Not Theory

Generative Engine Optimization (GEO) isn't theory—it's measurable impact. Below are anonymized case studies demonstrating how we position brands to win in AI search, structured data, and LLM-ready content pipelines.

Get inspired, see what's possible, and imagine your brand here next.

Crypto Project GPT Visibility Case Study

Crypto Project: GPT Visibility Breakthrough

Problem: A DeFi project lacked structured data and struggled with AI summary visibility despite high domain authority.

Strategy: Implemented advanced schema markup, entity alignment, and structured topical clusters optimized for LLM ingestion.

Results: +45% GPT indexing footprint, consistent appearances in AI summaries, and crawl frequency increase from 2x/week to daily.

D2C Brand AI Search Case Study

D2C Brand: AI Search Domination

Problem: A consumer wellness brand was invisible to generative search engines and voice assistants despite solid SEO.

Strategy: Re-architected site for semantic clarity, added JSON-LD schema for products/FAQs, and optimized content for E-E-A-T signals.

Results: Featured in ChatGPT plugin responses, 37% boost in AI-assisted traffic, and strengthened topical authority signals.

AI SaaS Startup LLM Content Case Study

AI SaaS Startup: LLM Content Readiness

Problem: An AI SaaS startup needed technical documentation utilized by GPT models for accurate generative responses.

Strategy: Structured comprehensive FAQ content, layered advanced schema, and optimized site speed for AI ingestion readiness.

Results: 52% increase in GPT-cited references within 3 months, boosting brand visibility in conversational AI contexts.

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