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GBP Management

See what customers say in your Google reviews

See how customers feel month by month and the words they use most, then let AI find the topics behind your good and bad reviews and what to do next.

Updated October 31, 2026 · 5 min read

See what customers say in your Google reviews

A star rating tells you how you’re doing, not why. This page shows how customers feel, the words they use most and, with AI, the topics behind the good and bad reviews.

Where
GBP Management, open a business, Reviews, What customers say
You need
A connected business with reviews, see connect your Google Business Profile
Cost
The numbers and words are included. Each AI analysis costs 10 AI Power.
1

Check your numbers

Click Reviews, then What customers say. The first row shows your Google rating, how many reviews have words, and how the stars split. If reviews are waiting for an answer, Reply with AI drafts takes you to them.

Google rating 4.8 from 312 reviews, 268 with words, the stars given from 5 to 1, and 3 reviews waiting for a reply with a Reply with AI drafts button
Your rating, the star split and Reply with AI drafts (1).
2

See how customers feel

The next row sorts every review by its stars: 4 and 5 are happy, 3 is mixed, and 1 and 2 are unhappy.

Happy customers 286, 92% of all reviews. Mixed customers 14, 4%. Unhappy customers 12, 4%.
Happy, mixed and unhappy customers.

How customers felt, month by month shows the last 12 months. Hover over a bar for that month’s numbers. Look for a month with more red than usual, then check what changed at the business around then.

How customers felt, month by month: a stacked bar for each of the last 12 months, in blue for happy, grey for mixed and red for unhappy
The last 12 months.
3

See the words customers use

The words customers use lists the words and short phrases that repeat in your reviews, most used first. Each one counts once per review, in whatever language your customers write. If the list is long, Show more opens the rest, and CSV downloads it.

The words customers use: 184 different words and phrases that come up 1,240 times, a CSV button, and a list from explains, 41 reviews, to whitening, 7 reviews
Download the list (1).

Words that keep coming up are worth using in your posts and on your website, because they’re how your customers describe you.

4

Run the AI analysis

Everything so far is counted from your reviews. To find out what they’re actually about, click Analyze review sentiment. AI reads your newest 150 written reviews, in any language.

312 reviews, 4.8 stars. What are they really saying? The Analyze review sentiment button, marked Review sentiment analysis, 10 AI Power
Run the analysis (1).

The result is saved, so opening the page again costs nothing. When new reviews come in, the button shows how many. Click it when you want them included, which costs another 10 AI Power.

312 reviews, 4.8 stars. Loved for staff and manner. Watch parking. From 150 written reviews, with an Update with 2 new reviews button
Update it with new reviews (1).
5

Read the topics

Topics shows what your reviews talk about, with the biggest first. Each row tells you:

  • Mentions: how many of the reviews bring it up.
  • Good or bad: the share of those mentions, or “mixed” if it’s close. The bar shows the same in blue and red.
  • Stars: how reviews that mention it compare with your average. In the picture, reviews about wait times average half a star lower.
Topics in 150 reviews: staff and manner, pain-free treatment, wait times, kids and families, and parking, each with mentions, percent good or bad and stars against the average, above one good and one bad quote
One topic's numbers (1) and quotes from real reviews (2).

A topic with many mentions and a minus next to its stars is usually the best place to start. The two quotes underneath are the strongest praise and sharpest complaint, in your customers’ own words.

6

Act on the summary

AI summary sums it all up in a few lines and suggests what to do next. Its buttons only open the right page, like Posts or the reviews waiting for a reply, so nothing is posted for you.

AI summary: patients love how the team explains treatment, while waits and parking hold the rating back, with three points and buttons to post about parking and to reply to the reviews still waiting
The summary, and the next steps as buttons (1).

The summary comes from your reviews alone, so check any specific detail is still true before you post about it.

Once you’ve run the analysis, Posts can also suggest post ideas from what customers praise. To answer the reviews behind a bad topic, see reply to your Google reviews.

Ready to try it, or stuck on a step?

Open Glocavo to follow along, or tell us what you are trying to do and we will help.