Restaurant review data for brands and suppliers: what guests say, per outlet
Restaurant review data for brands and suppliers turns the public reviews of a bar, cafe or restaurant into topics and sentiment (the drinks, the service, a dish, the price) plus the direction of its rating, and Dashmote reads them for every outlet with reviews on record, as of October 2026. Walk in speaking the owner's language: you see what the outlet is proud of and what guests complain about, which is where your product can win, before the visit.
- Rating and review count
- Rating momentum
- Review topics
- Sentiment per topic
- Sample reviews
- Latest review
The trusted intelligence layer for teams selling to Hospitality & Retail
What do guests love, and what do they complain about?
Every owner reads their reviews. They know the guests praise the terrace and complain about the wait at the bar. A rep who knows the same thing walks in speaking the owner's language: the pitch is not "buy my product" but "this fixes what your guests keep writing about".
Reading hundreds of reviews per venue across a territory is not realistic. Dashmote reads them for you and sorts what guests say into topics, each with a sentiment, next to the rating and the direction it is moving.
What you see per outlet
| Field | What it tells you |
|---|---|
| Rating and review count | How guests score the venue, and on how many reviews |
| Rating momentum | Whether the rating is rising, stable or falling over recent months |
| Review topics | What guests write about: drinks, cocktails, beer, coffee, food, a named dish, service, wait time, price, atmosphere, terrace |
| Sentiment per topic | Positive, mixed or negative for each topic |
| Sample reviews | Short quotes with their dates, in the original language |
| Latest review | How recently guests reviewed the venue |
Review topics also make an outlet searchable by what it serves. If guests keep mentioning the cocktails or a particular dish, you can find that venue by filtering on the topic, even when its menu is not online.
How reps use it before the visit
Review analysis is a filter for the list and a briefing for the conversation. The reading is done for you, so the week goes to time with owners.
- Pitch to the complaint. Guests say the beer is warm or the coffee is weak: that is your product's opening.
- Praise what they are proud of. Start with what guests love. Owners listen to someone who noticed.
- Find venues by topic. Filter on outlets where guests talk about cocktails, brunch or craft beer to build a list that matches your range.
- Back the risers. Outlets with a rising rating and growing review count are gaining guests; they are good accounts to win now.
- Watch your accounts. A falling rating at a current account is worth a call before it turns into lower orders.
Worked example: four briefings for one afternoon
Take a rep for a coffee brand who filters one city district on cafes and brunch places with review topics.
| Outlet | Rating trend | Top positive topic | Top negative topic | Opener |
|---|---|---|---|---|
| Brunch cafe | Rising | Pancakes | Coffee taste | A coffee that matches the food |
| Bakery | Stable | Pastries | Wait time | Faster machine and service support |
| Terrace cafe | Falling | Terrace | Price | Value range for a price-sensitive crowd |
| Hotel lobby bar | Stable | Coffee | None | Current account: ask for a reference |
The brunch cafe goes first: guests already come for the food and complain about the coffee.
Limits, stated plainly
Topics come only from public reviews, so a venue with few reviews has thin topics and a new opening may have none. Reviews describe guests' experience, not the outlet's sales or suppliers. Quotes stay in the language they were written in. Where an outlet has no reviews, it shows no topics, which is not a negative signal on its own.
Frequently asked questions
What is restaurant review analysis?
Restaurant review analysis sorts the public reviews of a venue into topics, such as drinks, service or a dish, and gives each topic a sentiment. It shows what guests value and what they complain about, without reading every review.
Which reviews are analysed?
The public reviews on each outlet's map listing and other public review sources attached to the outlet record. Each sample review keeps its date.
What is rating momentum?
Rating momentum is the direction an outlet's rating is moving over recent months: rising, stable or falling. It shows whether a venue is gaining or losing favour with guests.
Can I search outlets by what guests mention?
Yes, filter on review topics to find venues where guests talk about, for example, cocktails, craft beer or brunch.
Are reviews translated?
Sample quotes are shown in the language they were written in, while topics and sentiment are shown in the app's language so you can compare outlets across a market.
What if an outlet has no reviews?
An outlet with no reviews shows no topics. Its menu, delivery listings, social activity and lead score still describe it.
Related reading
For sales leaders: the business case
Reviews are the owner's own scorecard, and now your reps can read it before they walk in.
- Pitches that solve a problem. Reps tie the product to what guests complain about, which turns a supplier visit into a business conversation.
- Lists built on what venues serve. Topic filters find outlets by the drinks and dishes guests mention, beyond what menus show.
- Early warnings on accounts. Falling ratings at current accounts show up before falling orders.