The Agentic Architecture Behind the AI Visibility Tracker
Most approaches to AI monitoring are essentially glorified keyword trackers — pull some responses, count mentions, call it a day. We wanted to do something more rigorous than that, which meant rethinking the problem from the data layer up.
The AI Visibility Tracker is designed to show you what major AI platforms like GPT, Claude, Gemini, and Perplexity are saying about your brand when users ask about topics you care about – and how you rank in the conversation.
The Architecture That Made This Possible
We’ve expanded our technical architecture to support agentic workflows. Agents each have a discrete, specialized role. When the tracker runs, it launches a parallelized workflow that acts like your own research team:
- Competitor, Topic, and Audience Mapping: An agent identifies details about you, your competitors, and the topics and audiences you care about.
- Model Fanout: Custom, structured queries are simultaneously sent to an ‘arena’ of leading AI tools, guaranteeing we capture the full breadth of the conversation about your industry, topics, and ranking.
- Scoring: A specialized evaluator scores every response for topic authority, sentiment, and your share of voice in the AI response.
Current Stats:
- 250,000 possible combinations of queries that gauge visibility
- Over 150,000 prompts run to date
- Across 4 major AI providers
AI visibility isn’t a future problem to get ahead of. It’s a present one, playing out in real conversations right now, and the brands that understand it earliest are the ones setting the terms for everyone who comes after.
Future updates will continue to include more agentic workflows and architecture, including more data-driven recommendations and insights. Request early access.