CrisisRadar: Turning a Multilingual Social Media Storm Into Early Warnings for South East Asia’s Largest Beverage Company
A private monitoring workspace that brings a scattered, three-language conversation into one place, shows the evidence behind every AI finding, and tells the communications team whether a post is spreading or already fading.
When the border heats up, so does the conversation
The client is a beverage brand operating in Cambodia, part of South East Asia’s largest beverage company. When tensions rise along the Thailand–Cambodia border, public feeling can shift fast. Calls to boycott Thai-linked products spread across Facebook groups, X, Reddit and the news, in English, Khmer and Thai, often within hours.
The communications team faced three problems.
- The conversation was scattered across too many channels to watch by hand.
- Most of it was in languages the reviewers could not read quickly.
- It was hard to tell whether a post was real danger or just noise, and whether it was spreading or fading.
They needed to see a crisis forming before it peaked, and to have evidence they could stand behind when they reported it.
One radar, every channel, three languages
We built CrisisRadar, a private monitoring workspace that brings the whole conversation into one place and uses AI to make sense of it. Approved team members sign in with Google. Nobody else gets in.
From there, CrisisRadar runs a simple loop that the rest of this case study follows.
Collect, Understand, Track, Act
- Collect: gather posts, comments, headlines and articles from six channels into one shared library.
- Understand: translate every record into English and tag its emotion, topics, priority and Thailand-related signal, each backed by an exact quote.
- Track: follow the posts that matter, measure how fast they are growing, and score border tension in the news.
- Act: turn the findings into client-ready reports and multilingual content the same day.
1. Collect: six sources, one stream
With one click, CrisisRadar gathers posts, comments, headlines and articles from the places the conversation actually happens.
- Facebook groups, pages and posts
- A preset Facebook search for the brand
- Recent public posts on X
- The r/cambodia community on Reddit
- Google News in English and Thai
- Any public website the team adds
Everything is saved to a shared, organised library of datasets that the whole team can search, clean and reuse. Usernames and author names are not stored. The team needs to know what is being said and how far it is travelling, not who said it.
2. Understand: every finding has to show its evidence
CrisisRadar then reads every record with Gemini or ChatGPT. Each one is translated into English and tagged with four things.
- Emotion: joy, anger, anxiety or neutral.
- Topics: what the post is actually about.
- Review priority: a score from 1 to 10, so reviewers start with what matters.
- Thailand-related signal: a call to boycott, a report of a boycott, opposition to a boycott, reported border tension, negative sentiment, or nothing found.
Here is what makes it trustworthy. Every signal must be backed by an exact quote from the original text. If the AI cannot point to the words, the finding is automatically marked “Needs review.”
Nothing is made up and nothing is hidden. The team sees the evidence behind every call, which matters when the reviewer cannot read the original Khmer or Thai and has to trust a translation.
3. Track: not every angry post becomes a crisis
A single furious post can look alarming and go nowhere. A mild one can be shared ten thousand times. CrisisRadar tells them apart with three views.
Three ways to see where it is heading
Velocity TrackingFollows the posts that matter and checks them automatically every day. It measures how fast likes and comments are growing, labels each post alive, dying or dead, and samples the comments to show how the crowd is reacting.
Border Tension RiskA timeline that scores news coverage from 0 to 100 and shades each score Low, Elevated or High. It raises an alert the moment risk jumps.
Sentiment TrendsA chart of how the overall mood is moving over weeks and months, so a bad day can be read against the longer pattern.
4. Act: from insight to output the same day
Insight is only useful if it leads to action. CrisisRadar turns findings into output the team can use the same day.
- Client-ready reports: a one-page summary of each negative post, an interactive word cloud and a threat level, exported to PDF, HTML or CSV.
- A content plan: keyword-led briefs, outlines and drafts in English, Khmer or Thai. Each one addresses the concerns people actually raised, with links back to the source posts.
Beyond social: GenCite
More and more customers ask AI assistants for advice before they buy. GenCite, built into CrisisRadar, measures how often Gemini and ChatGPT mention the brand across 50 realistic customer questions.
It then shows exactly where the brand is missing and suggests the content and keywords to close the gap. Run it again later and the team can see whether visibility improved.
This picks up where our answer engine optimisation work for the same group left off. Read more about our AI SEO and AEO strategy.
The impact
See it soonerOne view across six channels and three languages replaces hours of manual searching.
Know what is realQuote-backed findings and live engagement tracking separate genuine threats from noise.
Respond with confidenceEvery decision is backed by evidence the team can show to a client or to leadership.
Shape the storyMonitoring leads directly to multilingual content and stronger visibility in AI search.
The result
CrisisRadar gave the team one place to listen, a trustworthy way to understand what they heard, and a clear path from insight to action. When the next flashpoint comes, they will see it coming.
It is the third build for this group, alongside the AI-powered 3D PWA with RAG.
Hear the signal before it becomes a storm.
Watching a conversation you cannot keep up with?
Web Wizards builds monitoring workspaces around the channels, languages and risks your team actually faces. Tell us where the conversation is happening and what you need to know first.