A national health nonprofit
Reclaimed its voice in AI answers about its condition area — correcting outdated guidance and lifting branded share of voice across four engines.
The challenge
When people asked ChatGPT, Gemini, and Perplexity about the condition, answers leaned on outdated third-party pages and occasionally surfaced guidance the charity had since revised. The organization had no way to see what AI engines were saying, let alone prove the inaccuracies to its medical board.
What they did with Signal360
- Stood up continuous observability across the engines that matter, tracking every branded and generic prompt in the condition area.
- Used Brand Truth to register the charity's canonical, clinically-approved claims and flag answers that contradicted them.
- Turned each gap into a prioritized opportunity — the pages and entities to fix first, ranked by how often they drove a wrong answer.
The outcome
Within a quarter the charity moved from blind spot to control: misinformation was caught within hours of surfacing, branded share of voice rose, and the medical board had audit-ready evidence for every correction.
“For the first time we can see — and prove — what AI tells people about us, and fix it before it spreads.”
Published May 20, 2026
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