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Map the reputation landscapeWe capture branded searches, platforms, profiles, reviews, publications and recurring topics.


SEO and AI Visibility → Reputation management (SERM)
We set up monitoring of branded search results, maps and reviews, response rules, issue escalation and the growth of verifiable sources about your company.
Discuss your projectOverview
Before getting in touch, a client sees search results, maps, reviews, profiles and the company's replies. SERM keeps this picture factually accurate and helps your team respond to real problems in time.
Solution architecture
We don't hide negative feedback: we separate data errors from genuine feedback and operational causes.
We capture branded searches, platforms, profiles, reviews, publications and recurring topics.
We separate factual errors, unanswered feedback, operational causes and platform rule violations.
We set up monitoring, owners, deadlines, response scenarios and escalation rules.
We help the team resolve requests and pass recurring signals on to product and operations.
We strengthen profiles and expert content and set up an ethical process for collecting customer feedback.
Unit economics and ROI
A managed reputation lowers the risk of losing trust before the first conversation and shortens the time it takes to react to a problem. Recurring complaints become data for improving the product and service.
Impact is measured by profile accuracy, response speed and trends in the causes of negative feedback, not by an artificial number of positive publications.
Result
We build a working system for communications, support, product and operations.
Comparison of approaches
A strong system deals with facts and causes, not with how a problem looks.
| Approach | Focus | Limitation | Output |
|---|---|---|---|
| Mass deletion | Negative publications | Legitimate criticism cannot be removed | A temporary reaction |
| Case-by-case replies | Individual reviews | No owners or root-cause analysis | Reactive communication |
| SERM system | The whole reputation landscape | Requires several teams to be involved | A managed process |
Limitations and risks
Reputation work should reinforce what the company actually does.
A publication can be challenged only if it breaks the platform's rules or the law.
We don't write on behalf of customers, create fake profiles or attack competitors.
Communication is no substitute for fixing the product, delivery, sales or support.
A good fit
Not a fit
Frequently asked questions
Only if it breaks the platform's rules or the law. Otherwise you need to reply, solve the problem and make it less likely to happen again.
No. We help you ask real customers for feedback properly, without pressuring them on the rating.
No. The system is most useful before a crisis, when access, owners and response rules are already in place.
AI systems rely on external sources. Consistent facts and a genuine reputation footprint reduce gaps, but do not guarantee a specific answer.
A map of the reputation landscape and a baseline of branded search results, a classifier of topics and risks, owners and response times, and response and escalation scenarios. It also covers a plan for fixing profiles, a process for collecting genuine customer reviews and a reputation signals dashboard.
Yes, the principle is the same: we map the platforms where users leave reviews and discuss the product, classify topics and assign response owners. For an IT product it is especially important to pass recurring complaints about bugs, stability and usability to the product team rather than just replying. We do not write reviews on behalf of users.
PR creates publications and news hooks, while SERM works with what a person sees when checking a brand: branded search results, maps, reviews and profiles. The goal of SERM is accurate facts, fast responses and addressing the causes of negative feedback, not the number of positive publications.
It depends on the topic: factual errors in profiles are fixed by marketing, service complaints by support or operations, and complex cases need a manager's involvement. We classify topics and assign each an owner, a response time and an escalation rule. That way responses do not depend on a single employee.
We compare the current state with the baseline: profile accuracy, response speed, the share of answered reviews and trends in the causes of negative feedback. It matters that recurring complaints lead to changes in the product and service. We do not count an artificial increase in positive publications as a result.
