AI Product Strategy for GEO Platform
Guided a founding team through AI product definition for a Generative Engine Optimization (GEO) platform, helping brands increase visibility in AI search engines like ChatGPT, Perplexity, and Claude. The engagement covered market analysis, technical feasibility assessment, competitive positioning, and a detailed MVP roadmap.
Clear
Product Vision
Validated
AI Approach
3-month
MVP Roadmap
Defined
Architecture
Background
As AI assistants become a primary way people discover information, brands face a new challenge: how do you get cited by ChatGPT or Perplexity? GEO Giant was founded to help brands optimize their content for AI search engines, similar to how SEO helps with traditional search. The founding team had domain expertise but needed help validating the technical approach and defining the product.
Challenge
The founding team had a compelling vision for an AI-powered GEO platform but faced critical questions before committing to development. Was it technically feasible to track AI citations reliably? How should they position in the emerging and undefined GEO market? What features matter most for an MVP versus what could wait? They needed clarity and confidence before investing months of development time and runway.
Approach
Conducted market analysis of the emerging GEO landscape, identifying existing players and positioning opportunities
Evaluated technical approaches for tracking AI citations across ChatGPT, Perplexity, Claude, and other AI assistants
Assessed feasibility of content optimization techniques for LLMs, separating proven methods from speculation
Mapped competitive positioning opportunities based on market gaps and team strengths
Prioritized potential MVP features using impact vs. complexity framework
Defined success metrics and measurement approaches for both product and business goals
Created technical architecture recommendations balancing build vs. buy decisions
Deliverables
Market analysis report covering GEO landscape, competitive positioning, and market sizing estimates
Technical feasibility assessment documenting what's proven, what's experimental, and what's not yet possible
Product vision document articulating core value proposition and differentiation strategy
3-month MVP roadmap with prioritized features, dependencies, and clear milestones
Architecture recommendations for scalable AI infrastructure with cost projections
Success metrics framework defining KPIs for product validation and business growth
Results
Defined core value proposition with clear differentiation from competitors
Confirmed technical feasibility with identified risks and mitigation strategies
Prioritized feature set with clear milestones and success criteria
Technical recommendations balancing speed to market with scalability
Impact
The engagement gave the founding team confidence to proceed with development, having validated their core assumptions. They avoided several potential dead-ends identified during technical assessment and launched their MVP on schedule.
"They helped us cut through the AI hype and focus on what would actually work. We went from a fuzzy vision to a clear product roadmap in weeks, not months."
Founding Team
Co-founders, GEO Giant