Understand What People Are Saying Before You Decide What to Say Back.
Reputation is built from thousands of small signals — reviews, comments, searches and conversations. Managing it starts with understanding them: the sentiment, the recurring themes, the risk and what customers actually expect.
Perception intelligence map Delivery speed Product quality Support response Pricing Ease of use Returns
Positive
Mixed
Negative
Voice of customer
Sentiment
Themes
Risk
Response
Improvement
Reputation isn't what you say about yourself. It's what people say when you're not in the room.
Voice of customer
Sentiment
Themes
Risk
Response
Improvement
Reputation Monitoring
Review Management
Sentiment Analysis
Theme Analysis
Response Strategy
Escalation
Search Reputation
Reporting
The business problem
When Reputation Is Managed One Review at a Time
Most reputation problems aren't single reviews. They're patterns nobody connected.
01
Reacting, not understanding
Replies written without knowing what's behind them.
02
Recurring complaints unseen
The same issue appears in many places, unconnected.
03
Scattered signals
Reviews, social and search monitored separately — or not at all.
04
Slow escalation
Risky mentions found after they've spread.
05
Generic responses
Copy-paste replies that make it worse.
06
No link to the business
Feedback that never reaches the people who can fix it.
From audience understanding to action
Review Replies vs Perception Intelligence
Both respond. One understands what the responses should fix.
Conventional campaign approach
New review
Reply
Next review
Star rating
Frequent Research approach
Voice of customer
Sentiment
Themes
Risk
Response
Improvement
Learning
Intelligence behind every response
Reputation Built on Understanding, Not Just Replies
How this approach to reputation differs — question by question.
01What a conventional provider usually does
02What we do differently
03Where data and AI improve it
04Additional business value
05Before execution
06After execution
07How it connects with other channels
08How AI improves the process
09What stays human-led
10The larger business objective
What we do differently
Mentions are understood first — sentiment, recurring themes, expectations and risk — and the response strategy follows.
← 2 / 10 → Intelligence layer
Perception Intelligence: What Gets Understood First
Switch the insight layer on and off to see what changes.
Execution only+ Insight layer
Reviews & mentionsScattered checks+ One view across the channels that matter
SentimentStar rating+ The tone behind what is said
Recurring themesOne review at a time+ Patterns across many voices
Customer expectationsAssumed+ What people expected and didn't get
RiskDiscovered late+ Signals assessed and escalated early
Response strategyCopy-paste replies+ Responses matched to the situation
The Intelligence-to-Impact Framework
How Reputation Management Works: Intelligence to Impact
Select a stage — or watch the framework run.
01 · Understand
Understand the brand, its audiences, its channels and what's at stake.
Understand
Discover
Define
Activate
Measure
Learn
Improve
Grow
Online reputation monitoring
Know What Is Being Said Before It Becomes a Bigger Problem
Monitoring brings scattered signals into one place, then routes each one: alert, analyse, prioritise, act.
Review detected — Respond and learn
Brand mention detected — Classify and log
Search result changed — Assess the change
Negative conversation detected — Prioritise and respond
Customer complaint — Resolve and escalate
Positive advocacy — Acknowledge and amplify
Sentiment analysis
Every Mention Has a Tone, a Theme and a Weight
Mentions are sorted by sentiment, then by theme and severity — so the response matches what was actually said. We show categories, not invented percentages.
Online reputation management (ORM) is monitoring, understanding and influencing how a brand is represented and perceived across the online channels that matter to its customers — search results, reviews, social media, forums and news.
What is Perception Intelligence?
It's our starting point for reputation work: understanding what people say, how they feel, which themes recur, where risk is building and what customers expect — before deciding what to say back.
What does an online reputation management service include?
Depending on your needs: monitoring, review management, sentiment and theme analysis, response strategy, escalation processes, search reputation, trust-building content and reporting.
Can you remove negative reviews?
No promise of removal is made. Legitimate reviews generally can't simply be removed. The work focuses on appropriate responses, resolving issues where possible, reporting content that breaks a platform's own policies, and strengthening credible information.
Can you guarantee search results or ratings?
No. Search results, rankings and ratings depend on platforms and on what people write, so no specific outcome is guaranteed.
How does AI support reputation management?
AI can help classify mentions by sentiment and theme, summarise conversations and detect patterns. People review sensitive responses, judge context and decide on escalation.
How much does online reputation management cost?
It depends on scope, markets, channels, monitoring requirements and complexity, so an assessment usually comes first.
Listen. Understand. Respond.
Reputation managed from what people actually say — with people reviewing what matters.
Have a Marketing Challenge That Needs More Than a Channel?
Tell us where your reputation lives online and what concerns you. We'll help define where to start.
What do you need help with?Step 1 of 4 Download PDF
Take the Online Reputation Management brochure with you
Protect and strengthen how your brand appears online. What is included, how we work, the quality checks we run and answers to common questions, in one branded PDF.
Download the service brochure Quality process PDF Read the quality process You'll be asked for your details for each download.