GleamIQ reads every review you've ever received — across every platform — and surfaces the patterns you'd never spot manually. Customer feedback analysis that tells you what matters, not just what happened.
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Analyzing customer reviews one by one is how you miss the signal in the noise. See what AI-powered review analysis changes.
Three steps from scattered reviews to clear themes — automatically, with no setup required.
Enter your business name and city. GleamIQ finds your listings automatically and imports all your reviews — across Google, Yelp, TripAdvisor, Facebook, and more — into a single analysis pool.
GleamIQ uses the same embedding technology that powers large language models to read and understand every review. Reviews are grouped into themes — staff, atmosphere, value, specific experiences — with no labels or setup on your end.
Each theme has its own sentiment score and trend line. You see not just what customers are saying today, but whether it's getting better or worse — and which specific location is driving the signal. That's customer feedback analysis that actually leads somewhere.
Not summaries of what customers said. Patterns that tell you what to do about it.
Customer feedback analysis that's granular enough to surface individual names. Know which team members are driving positive sentiment before you need to guess at performance review time.
Not generic themes like "service" but specific ones like "brisket sandwich," "the Tuesday morning slot," or "the parking situation." Real language from your actual customers.
Analyzing customer reviews over time shows the direction of travel — not just today's score. A wait time theme declining from +0.4 to −0.3 over 90 days is actionable intelligence weeks before your star rating moves.
The same review analysis tool applied per location. See which of your sites has the problem and which ones don't — so you fix the right thing in the right place instead of rolling out a policy change everywhere.
Any business with reviews benefits from AI-powered customer feedback analysis. Here are three of the most common use cases.
Between Google, Yelp, TripAdvisor, and OpenTable, a busy restaurant receives hundreds of reviews a month. AI review analysis groups them into themes like Food Quality, Service Speed, Atmosphere, and Value — and shows you which ones are trending in the wrong direction before your aggregate rating drops.
"I spotted that our Tuesday lunch wait times were getting worse two months before a competitor opened nearby. We adjusted staffing before it became a problem."
Gyms and yoga studios live and die by member experience. Customer review analysis surfaces which instructors are driving retention, which class times have availability complaints, and whether your equipment maintenance issues are a pattern or a one-off. All from your actual reviews, automatically.
"GleamIQ told me my 6am CrossFit coach was mentioned positively in 31 reviews and never negatively. My 7pm class had the opposite pattern. That's a coaching conversation, not a guess."
Franchise operators need cross-location insight that individual review dashboards can't provide. GleamIQ's review analysis tool runs the same analysis across every location simultaneously — so you see which sites are underperforming on which themes, and what specifically is driving the gap.
"Analyzing customer reviews across six locations used to mean six spreadsheets and an afternoon. Now it's one screen, and I can filter to any location in a click."
Every feature. Every source. No per-location fees.
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