Brand Mentions

What is Brand Mentions?

A brand mention is any time your restaurant brand is named online. A five-star Google review, a TikTok video of your new menu item, a Reddit thread comparing your wings with a rival's and a local news story about your opening are all brand mentions.

Some mentions tag your account, so you hear about them straight away. Many more simply name you in passing, and those only reach you if someone is listening. Together they form the public conversation about your brand, which future guests read long before they visit.

For a multi-location restaurant group, mentions are also a stream of operational feedback. A cluster of posts about long drive-thru waits at one location tells you something your sales report won't, and it tells you quickly.

Mentions are one of the main inputs into brand health, the overall state of how guests perceive your brand. This page covers the mentions themselves: where they appear, how to track them, what to measure and how to respond.

How brand mentions work

A brand mention happens whenever someone publishes content that names your brand. What varies is where it appears, whether you're notified and how many people see it.

Tagged brand mentions

A tagged mention uses your handle, tags your account or posts directly on your page. The platform notifies you, so these mentions are the easiest to find and answer, and their authors often expect a reply.

Untagged brand mentions

An untagged mention names your brand in plain text, such as "Sunny's Tacos on Main Street finally reopened." Nobody tags you, so you only find it by searching or with a listening tool. Untagged mentions are usually the larger share, and they include some of the most candid feedback guests give.

Where restaurant brand mentions appear

Reviews on third-party review sites are the most structured mention type, because each one is already tied to a location and carries a rating. Social posts are less structured, which makes location matching one of the harder parts of the job.

A brand mention example

Suppose a 40-location burger brand collects 1,200 mentions in March. Of these, 820 are reviews, 310 are social posts and 70 come from news, blogs and forums. Of the 380 social and web mentions, about 290 are untagged and would have been missed without monitoring.

The team matches 1,050 mentions to a specific location. One suburban location shows 18 social posts about cold fries in two weeks, compared with two or three at most other stores. That pattern prompts a check of the fryer holding times, and the complaints taper off by mid-April.

Brand mention metrics

The count of mentions is only the start. Most teams track a handful of measures, each answering a different question.

Sentiment is where sentiment analysis earns its keep. Automated models classify each mention as positive, negative or neutral, and better ones break a single post into topics, so "great tacos, slow service" counts as praise for food and a complaint about speed.

Reach puts sentiment in context. A negative post from an account with 200 followers and one from a local food writer with 200,000 deserve the same care in reply, but the second can shift perception across a whole market.

A simple net sentiment figure helps when comparing periods: net mention sentiment = (positive mentions − negative mentions) ÷ total mentions × 100. If 610 of 1,000 mentions are positive and 140 are negative, net sentiment is (610 − 140) ÷ 1,000 × 100 = 47.

How to track brand mentions

1. List every name guests use. Include your brand name, common misspellings, abbreviations, signature menu items, campaign hashtags and each location's nickname.
2. Cover the sources your guests use. Review sites and delivery apps come first for most restaurants, followed by the social networks where your guests post.
3. Set up free alerts as a baseline. Google's guide to creating an alert shows how to get an email when new pages mention your brand.
4. Bring reviews and messages into one queue. Review aggregation saves your team from checking each platform separately.
5. Match each mention to a location. Location tags, addresses and neighborhood names in the text make most mentions attributable.
6. Agree on who responds. A central team, location managers or both, with clear rules for escalation.
7. Review trends on a schedule. A weekly look at volume, sentiment and top topics per location is enough for most brands.

Free methods suit a single location well. Once you're tracking dozens of locations, the time spent searching by hand usually outweighs the cost of a dedicated tool.

Social listening and brand mentions

Brand monitoring and social listening use the same raw material. Monitoring is about catching individual mentions so you can respond, while listening analyzes them in aggregate to find patterns.

Listening answers questions such as which menu items people talk about most, how a new limited-time offer is landing, or whether complaints about price are rising across a region. It turns brand mentions into input for marketing, menu and operations decisions.

For restaurant brands, the most useful listening often happens at location level. A rise in negative mentions about cleanliness at three stores in the same district points to a district-level issue, which a brand-wide average would hide.

How to respond to brand mentions

Every reply is public, so it speaks to the person who posted and to everyone who reads the thread later. A calm, specific reply often matters more to those later readers than to the original author.

Google explains how to read and reply to reviews on a Business Profile, including that replies are checked against its content policies before they appear. Other platforms have their own reply rules, so it helps to check each one's current guidance.

Negative mentions deserve the fastest attention. A thoughtful negative review response acknowledges the problem, avoids arguing and invites the guest to continue the conversation privately.

That private conversation is also the first step toward recovering an unhappy guest, whether through a refund, a return visit on the house or simply a call from the general manager.

Brand mentions during a crisis

A crisis usually shows up first as a spike in mentions. A food safety incident, a viral video from inside a kitchen or a supply problem can multiply mention volume within hours, and sentiment turns negative just as quickly.

Restaurant history offers clear examples. In February 2018, a switch of delivery partner in the UK left hundreds of KFC restaurants without chicken, and the brand's apology, a print ad by the agency Mother London showing an empty bucket with the letters rearranged to read "FCK", drew wide praise for its candor.

In late 2015, E. coli outbreaks linked to Chipotle restaurants, investigated by the US Centers for Disease Control and Prevention, drove intense negative coverage. In its fourth-quarter 2015 results, Chipotle reported that comparable restaurant sales fell 14.6%.

Mention tracking helps during a crisis in three ways. It shows how far the story has spread, which locations and channels are affected, and whether your statements are changing the tone. Agreeing in advance on who speaks for the brand, and how quickly, avoids conflicting replies from different locations.

Brand mentions for multi-location brands

A brand with many locations has two conversations happening at once. One is about the brand as a whole: its menu, campaigns, prices and values. The other is about individual locations: this drive-thru, that dining room, last night's server.

Mixing the two levels hides the signal. A brand-wide sentiment score can look stable while one location's mentions turn sharply negative, so most multi-location teams report mentions both ways.

Franchise brands add a further layer, because franchisees often run their own social accounts. Shared guidelines on tone and escalation, as described in this guide to franchise reputation management, keep replies consistent without taking local ownership away.

Brand mentions vs. related terms

In short, mentions are what people say, listening is how you study it, reputation management is how you respond, and brand health is the overall result you're trying to improve.

Limitations of brand mention tracking

• Coverage is never complete. Private accounts, closed groups, messaging apps and some video content are out of reach for any tool, and platforms decide what third-party tools can access.
• Automated sentiment makes mistakes. Sarcasm, slang and mixed posts trip up models, so regular spot checks keep the figures honest.
• Volume can mislead. A spike might be a viral complaint or a successful campaign, and the count alone can't tell you which.
• Location matching is imperfect. Many social posts never say which store they're about, which leaves a share of mentions attributable only to the brand.
• Mentions overrepresent strong feelings. Guests who post are often delighted or upset, so mentions work best alongside surveys from a broader sample.

How to improve brand mentions

Give guests a reason to post. Distinctive dishes, good lighting and memorable service give people something worth sharing, and many positive brand mentions start with a photo-worthy moment.

Ask every guest for feedback the same way. Inviting all guests to share a review, and replying to what they say, tends to raise the volume of reviews. Momos's guide on getting more five-star Google reviews covers the approach.

Fix the topics behind negative mentions. When mentions cluster around one theme at one location, an operational fix does more for future sentiment than any reply.

Reply consistently. Guests who see thoughtful replies are more likely to believe their feedback will be heard. A shared social media management workflow helps keep tone consistent across locations.

Best brand mention tools

The right tool depends on where your guests talk about you. For most restaurant brands, reviews and delivery app ratings are the largest and most actionable source of mentions, followed by social posts. Multi-location reporting, location matching and a single queue for replies matter more than the raw number of sources a tool claims.

These tools focus mainly on reviews, listings and guest messages. If your brand also needs deep social listening across news and social networks, a dedicated listening platform can sit alongside them, so it's worth comparing options against your own channels and locations.

Common brand mention mistakes

• Tracking only tagged mentions. Untagged posts are often the larger and more candid share of the conversation.
• Reporting only the brand total. A stable brand-wide figure can hide a location whose mentions are turning negative.
• Treating volume as success. More mentions are only good news if sentiment holds or improves.
• Replying with templates everywhere. Identical replies across locations read as automated and do little for the guest.
• Arguing in public. A defensive reply to a negative post usually attracts more attention than the original complaint.
• Leaving delivery app feedback unread. Ratings and comments on delivery apps are mentions too, and they often go unanswered because nobody owns them.

History of brand mention tracking

Brands have always cared about what people say about them. Before the internet, that meant press clipping services, which cut articles mentioning a client out of newspapers and magazines and mailed them in bundles.

Online tracking became practical when Google launched Google Alerts in August 2003, which emails users when newly indexed pages match a search term. For the first time, a restaurant owner could follow their name across the web for free.

Social media multiplied the volume of mentions. Chris Messina proposed the hashtag on Twitter in August 2007, giving people a simple way to group posts about a topic, and Instagram added "Photos of You" people tagging in May 2013, making tagged mentions a routine part of sharing a meal.

Review platforms turned many mentions into structured feedback with a star rating attached. Over the 2010s, social listening tools began combining mentions from social networks, news and review sites into one feed, adding automated sentiment scoring along the way.