Google review · 12:18
3 stars“Good food, but we could not get a table outside and waited a while inside.”
The rule only answers 4 and 5 stars
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Google review · 12:18
3 stars“Good food, but we could not get a table outside and waited a while inside.”
The rule only answers 4 and 5 stars
Draft by Obi
“Thank you for coming by, and sorry you missed out on the terrace. It fills up fast at lunchtime. We hope to find you a table outside next time.”
Answered by your ruleAuto-reply rule: 4 and 5 stars with text · replies by Obi
Review intelligence
Obenan’s Emotion AI analyzes your reviews to show what customers love and what frustrates them, with suggested next steps online and on the ground.
Topics people talk about
A strength
How people feel
10% of mentions are neutral (14 / 138)
What drives it
Customers praise the pastries and eggs by name.
Words people use
What people wrote
“The breakfast is the reason we keep coming back.”
“Breakfast here is worth the trip across town.”
Feature the pastries in your Google photos and your next post.
Reviews from the sources you connect, such as Google, Tripadvisor and Facebook.
Every report Emotion AI offers, for the same café.
Review volume and average rating over time.
How the average rating moved against the previous period, for each location.
| Average rating | Previous | Change | |
|---|---|---|---|
| Café, one location | 4.7 | 4.7 | 0% |
A satisfaction trend from 0 to 100, built from your reviews.
| Satisfaction | |
|---|---|
| April | 86 / 100 |
| May | 87 / 100 |
| June | 84 / 100 |
| July | 88 / 100 |
| August | 90 / 100 |
| September | 91 / 100 |
Rating, review count and the share of reviews replied to, per platform.
| Platform | Rating | Reviews | Replied |
|---|---|---|---|
| 4.7 | 348 | 94% | |
| Tripadvisor | 4.5 | 108 | 71.3% |
| 4.8 | 41 | 56.1% |
How the mix of one to five star reviews changes from month to month.
Reviews per star rating, per location.
| 1★ | 2★ | 3★ | 4★ | 5★ | |
|---|---|---|---|---|---|
| Café, one location | 1 | 3 | 30 | 108 | 355 |
Replies per star rating, so unanswered low ratings stand out.
| 1★ | 2★ | 3★ | 4★ | 5★ | |
|---|---|---|---|---|---|
| Reviews | 1 | 3 | 30 | 108 | 355 |
| Replies | 1 | 3 | 27 | 88 | 308 |
Reviews this month against the previous month.
| This month | Last month | Change | Total | |
|---|---|---|---|---|
| Café, one location | 84 | 93 | -9.7% | 497 |
The words guests use and how often each comes up positive or negative. Open one to read the reviews behind it.
An AI-written summary of what recent guests say, with the time it was last updated.
Guests love the breakfast and the warm welcome from the team. The most common wish is more room outside: several recent reviews mention waiting for a terrace table on sunny mornings.
Suggested next steps from your latest reviews, ready for your team to review.
Tell guests on your profile that the terrace fills early on sunny mornings.
Keep the breakfast dishes guests praise most on the menu.
Share the kind words about the welcome with the team.
Emotion AI reports depend on your plan and team permissions.
AI assistants
People now ask AI assistants where to eat, stay and book. Your reviews and replies are part of what those assistants can draw on.
Connect your own AI assistant through MCP and ask what your customers are telling you. Each answer shows the reviews behind it.
Obenan AIWhat do customers love most about us?
Customers love the breakfast most, with the warm welcome close behind.
Breakfast: 118 positive mentions, more than any other topic.
From your reviewsWelcome: 97 positive mentions and only 3 negative.
What customers wrote
Answers come from your Emotion AI reports in Obenan.
Customer story
“The Obenan team feels like an extension of our own. They provide expert advice on reputation management, digital presence and analytics.”
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