Noise & Signal built a brand AI decision system for ximu that tracks brand visibility across ChatGPT, Claude and Gemini, aggregating citation and recommendation signals into optimisation suggestions on a dashboard. This engagement is part of Noise & Signal's AI Agent integration work for the MarTech / SaaS sector.
Background & Challenge
ximu needed to monitor its brand's visibility across AI models like ChatGPT, Claude and Gemini, and turn citation and recommendation signals into optimisation suggestions. This is an AI Integration engagement for a client in the MarTech / SaaS sector.
What We Built
We built a brand AI decision system that aggregates citation and recommendation signals across models and presents optimisation suggestions on a data dashboard. Decision system that tracks brand visibility across ChatGPT, Claude and Gemini: aggregates citation and recommendation signals and produces optimisation suggestions.
Technology
The build combines an LLM at the core, GEO, a data dashboard and Next.js for the frontend.
Outcome
The system has been built and delivered for ximu's use. "ximu Brand AI Decision System" is one of Noise & Signal's AI Agent integration projects, delivered for ximu in the MarTech / SaaS sector.
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