AI Reviews Analysis Pipeline
An analysis agent that pulls reviews from Google, Yelp, and BBB into one model, scores each by theme, and shows leadership which issues are rising, where, and why.
- Client
- National home-services company
- Services
- AI AgentsDigital Marketing
Results
- Feedback from every platform compared consistently across locations, regions, and categories.
- Scheduling, pricing, and communication issues separated from workmanship instead of averaged into one score.
- Recurring and emerging problems visible before they show up in star ratings.
- Every summary traceable to the reviews that support it.
Agent profile
- Watches for
- New reviews on Google, Yelp, and BBB
- Connects to
- Google reviews
- Yelp
- BBB
- Feedback dashboard
- Hands off to a person
- It doesn’t replace customer-experience or operations teams. It turns unstructured feedback into a ranked set of signals for people to investigate, and every finding links to the reviews behind it.
A national home-services company collected reviews across many locations and several platforms. Star ratings were easy to see; the reasons behind them were not. A location could hold a steady rating while complaints about scheduling, communication, or billing grew underneath, and by the time a pattern was obvious it had already reached dozens of customers.
Every platform formatted reviews differently, a three-star review could praise the work and criticize the scheduling, and low-volume locations made simple rankings misleading.
What we built
How the system works, step by step.
Collect and normalize
Reviews from every platform go into one shared data model, whatever their format or rating scale.
Classify by aspect
Each review is scored by theme: scheduling, timeliness, communication, pricing, billing, workmanship, professionalism, and service. Mixed feedback stays mixed.
Aggregate
Results roll up by location, region, theme, source, and period. Calculated metrics, not the model, handle rankings and trends, with review volume taken into account.
Show the evidence
A dashboard compares locations and regions, tracks theme sentiment, and drills down to the comments behind each finding.
Summarize
Management summaries explain what changed, where, which themes drove it, and which reviews support it.
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