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Team fromGenerative Engine Optimization for brands. We restructure and optimize your content so LLMs like ChatGPT recommend, and surface your brand/products at the top of every answer.
AI Visibility Report
Brand Performance
Brand mentions
Top-3 rankings
Citation rate
Brand cited in
ChatGPT response
Ranking position
Top AI answer
Team fromTeam fromTeam fromTrain a domain-specific AI critic that understands what content structures generative engines prefer for your vertical.
Build a proprietary AI model that continuously learns what makes your brand get cited by LLMs.
Generic content that AI ignores
AI-optimized content that gets cited
Five autonomous systems, one feedback loop. Each step feeds the next — the system never stops re-measuring, re-training, re-deploying.
We scan Google Trends, Reddit, Quora, and real-time conversations to generate ~50K conversational queries that mirror how users actually ask — adapting to seasons, events, and micro-trends.
Queries collapse into 30–50 semantic clusters. Each centroid becomes an optimization target — mathematically optimal coverage.
Thousands of parallel agents interact directly with live AI interfaces — not APIs — replicating real user behavior. We measure brand mentions, ranking, and response structure across ChatGPT, Perplexity, and Gemini.
A model fine-tuned on your vertical's AI interactions. It learns what content structures AI systems prefer — and improves as it keeps measuring.
Click any node. The loop never stops — it just keeps re-measuring, re-training, and re-deploying as user intent and AI platforms evolve.
Tell us about your brand. We'll show you exactly how much visibility you're leaving on the table.