The Brightrose Effect: 2 Hours to Build an AI Agent, 60 Days to Turn Reviews Into Revenue

In today’s digital-first world, public reviews carry enormous weight. For one Brightrose client, the challenge was clear: how do we find negative product reviews across the market where our solution can help? Traditional monitoring tools were too broad, and manual searches were too slow to be actionable.

Brightrose built a custom AI agent in just two hours to do exactly that. Designed to scan, identify, and categorize negative public reviews, the agent highlighted real pain points that the client’s product was uniquely equipped to solve.

Within 60 days, the client had transformed this intelligence into a revenue engine.

Here’s how it worked:

1. AI training – Modeled the agent to recognize review language signaling unmet needs.

2. Data integration – Pushed insights directly into CRM for immediate sales team action.

3. Targeted outreach – Equipped reps with messaging linked directly to customer frustrations.

4. Marketing alignment – Informed campaigns with real-world examples of challenges solved.

5. Feedback loop – Continuously refined the agent to improve accuracy and relevance.

According to PwC’s 2025 Consumer Intelligence Report, 86% of buyers say online reviews influence purchasing decisions.

For this client, negative reviews became positive growth. 

That’s the Brightrose Effect.