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Brand Reputation Monitoring & Risk Detection Platform
RH Detection is a risk intelligence platform for online reputation monitoring, digital risk management, and brand protection that gives you full visibility across media, search, AI and ratings — with real-time alerts and risk assessment before a risk becomes a loss
How It Works
companie's reality without real-time MONITORING
Information blindness in action — the intelligence gap that lets risks compound:
Don’t Wait for a Crisis to see What Your Brand Is Perceived Online
A reputation crisis costs much more than preventing one
RH Detection delivers risk intelligence and full visibility — a proactive approach to risk — across media, search, AI and ratings — so you detect and assess risk before it becomes a financial loss.
Six roles. One enterprise risk management system at scale. Each sees exactly what they need to act on.
Who uses RH Detection
pricing: from $ 5 000 / month
What's Inside
RH Detection
RH Detection is reputation monitoring software and a complete risk management solutions platform focused on visibility, fraud prevention solution, and early warning. It combines real-time reputation issue identification, risk assessment, and reputation intelligence signals across press, social channels, search results, and AI-generated responses — with analyst reporting and risk management as a service. Built for organisations that need systematic intelligence on online reputation risk and early signals before a situation escalates.
Platform: Risk Control Center
A configurable risk management system with full risk assessment capabilities: automated tracking, real-time risk intelligence feeds, AI analytics, real-time data, and signal analysis
SCAN: Digital Risk Monitoring
Real-time brand reputation monitoring across blogs, news, video channels, and forums — a core service feeding directly into your risk analysis workflow.
SERP Analysis
Tracking search results, knowledge panels, and search suggestions across Google, Bing, Yahoo, and YouTube — for competitive intelligence, threat intelligence, risk assessment, and brand digital footprint management.
AI-Powered Representation Analysis
AI-powered analysis designed to detect subtle shifts in brand presence across artificial intelligence platforms: ChatGPT, Gemini, Perplexity, and others.
Reviews Monitoring
& Fraud Prevention
Aggregation and monitoring of ratings across G2, Trustpilot, app stores, and other digital platforms — to detect review manipulation, detect and prevent fraud patterns, protect legitimate users, and track sentiment shifts early.
Narrative, Sentiment & Cyber Risk Analytics
Tagging, identification of dominant narratives, sentiment shifts, and trends — powered by machine learning, ai-driven signal scoring, natural language processing, and behavioral intelligence signals.
Risk Signals, Alerts
& Workflow Triggers
Customizable alerts for threats, abnormal activity spikes, and unusual risk events — driven by ai-powered risk assessment, machine learning anomaly detection, and cyber threat signals. Risk analytics feed directly into your response workflow — helping you detect fraud before it happens.
Expert team: when you need a human, not an algorithm
Analyst Reports & Enterprise Risk Management
Regular structured reports: digests, summaries, ad hoc briefs at agreed frequency. Not just data — expert interpretation, risk assessment, and risk management recommendations to support accurate risk decisions as a service.
Dedicated Service
& Manager Support
A dedicated service manager who flags issues, escalates risk signals, supports risk and compliance reporting, and keeps everything moving — your intelligence partner, not just an account contact.
Targeted Response
to High-Impact Mentions
Targeted handling of high-impact mentions — negative posts, questions, ratings, video, and other online interactions that affect your digital presence and risk assessment
Not just a tool, but a complex solution
What Happens After You Submit a Request
From first contact to a working system
Reputation risks — including fraud risk, third-party risk, and operational exposure — can be controlled before becoming financial losses with the right infrastructure
Step 01
Diagnostics
We analyze your current situation and conduct a baseline risk assessment
Step 02
Offer
We build a solution tailored to your tasks
Step 03
Launch
We connect monitoring, analytics, and workflow integrations
Step 04
Operation
You receive actionable risk signals and structured risk data and actionable insights in real time
Scenarios
Explore key scenarios by roles
CEO & Founder
Public company, private business with public presence
Situation
A board meeting is in two weeks.
You want to walk in knowing exactly what the board will have read about the company by then.
You want to walk in knowing exactly what the board will have read about the company by then.
How RH Detection helps
- Continuous scan across news sources, search, AI platforms, and investor-facing sources.
- Prioritized daily digest surfaces what’s gaining visibility and what’s being picked up by influencers your board reads.
- Named analyst flags anything that can reach the boardroom.
Results
You walk into the board meeting fully informed and ready.
No blind spots, no questions you didn’t see coming, no items surfacing from a board member before they surface from your own system.
No blind spots, no questions you didn’t see coming, no items surfacing from a board member before they surface from your own system.
You’re preparing to enter a new market.
Your team has the commercial plan — but no one knows how the company is already perceived in that geography, in the local language, on the local platforms.
Your team has the commercial plan — but no one knows how the company is already perceived in that geography, in the local language, on the local platforms.
- Baseline audit of how the company appears across local press, search results, AI responses, and regional platforms in the target language.
- Ongoing monitoring switched on for the new geography from day one.
- Analyst interpretation of what’s already out there before you arrive.
You enter the market with a clear picture of your existing reputation in that geography, not a guess.
Global risk zones and local risk areas are identified before they become conversations with local partners, regulators, or press.
Global risk zones and local risk areas are identified before they become conversations with local partners, regulators, or press.
You’re the face of the company.
You don’t know whether the version of you that appears in AI responses, search results, and international media matches the version you want in the room with investors.
You don’t know whether the version of you that appears in AI responses, search results, and international media matches the version you want in the room with investors.
- Continuous tracking of how you personally appear across search, AI platforms (ChatGPT, Gemini, Perplexity), and media — in every language that matters.
- Named analyst produces a regular, structured picture of your personal digital presence with gaps and risk areas flagged.
You have an independent, objective picture of how the market sees you — updated as the picture changes.
No more guessing what an investor Googled the night before a meeting.
No more guessing what an investor Googled the night before a meeting.
Head of Reputation Management
In-house ORM, brand & digital presence teams
Situation
A new page about the company just entered the first screen of Google results.
Уou have no idea what it says, who wrote it or how it got there.
Уou have no idea what it says, who wrote it or how it got there.
How RH Detection helps
- SERP tracking flags the new entrant within hours of it appearing on the first screen.
- Full source context: author, domain authority, how it got indexed, whether it’s spreading to other search surfaces.
- Sentiment and narrative analysis attached.
Results
You see every new page entering the first screen as it happens, with the context to decide what to do next.
The first screen is no longer something you discover by accident.
The first screen is no longer something you discover by accident.
A client tells you ChatGPT described the company in a way you didn’t recognize.
You need to know: what exactly does AI say, and from which sources does it build the answer?
You need to know: what exactly does AI say, and from which sources does it build the answer?
- AI Representation Analysis across ChatGPT, Gemini, Perplexity and other platforms.
- Full mapping of the answer: which sources were used, which narratives are dominant, where the answer diverges from reality. Tracked continuously as
- AI models update.
You know exactly what AI says about the company and which sources shape that answer.
Before the next client or candidate asks. You can brief the team on what to act on and in which order.
Before the next client or candidate asks. You can brief the team on what to act on and in which order.
You manage reputation across multiple markets.
Each region has its own media, platforms, and language and your team currently uses different tools for each.
Each region has its own media, platforms, and language and your team currently uses different tools for each.
- Centralized risk coverage across every market, language, and platform in one system: search, AI, ratings, social, news.
- Prioritized daily digest by region.
- Alerts ranked by threat level, not by source.
One picture across all markets, one team, one system.
You act on the priorities that matter, not on whichever tool happened to flag something first.
You act on the priorities that matter, not on whichever tool happened to flag something first.
Head of Communications & PR Director
Enterprise, large brand, holding companies
Situation
You launch a new product.
Within 48 hours, negative posts appear across Telegram channels and niche forums. You need to know immediately is this organic backlash or a coordinated campaign?
Within 48 hours, negative posts appear across Telegram channels and niche forums. You need to know immediately is this organic backlash or a coordinated campaign?
How RH Detection helps
- Sentiment velocity tracked across all relevant channels in real time.
- Attack source analysis helps detect and prevent coordinated cyber activity and maps the source network.
- Named analyst provides an interpretation within two hours, not the next morning.
Results
Within hours you know whether to engage publicly, prepare a response, or let it fade.
No overreaction to organic noise. No silence when action was needed.
No overreaction to organic noise. No silence when action was needed.
An influencer with a large audience posts a critical review.
You need to know: is it spreading, which channels is it reaching, is it staying in their audience or going wider?
You need to know: is it spreading, which channels is it reaching, is it staying in their audience or going wider?
- Real-time tracking of spread velocity and secondary mentions.
- Reshares mapped across platforms.
- Alerts when mainstream press picks up the thread.
- Analyst context on whether the trajectory is escalating or contained.
You see the cascade forming before it reaches news outlets.
The decision window for a response stays open — you’re not responding to a finished story.
The decision window for a response stays open — you’re not responding to a finished story.
An important publication is scheduled to feature the industry next week.
You need to know what journalists, analysts, and competitors are saying about the company in the run-up.
You need to know what journalists, analysts, and competitors are saying about the company in the run-up.
- Targeted monitoring of media-facing sources, journalist channels, analyst commentary, and competitive mentions.
- Daily structured briefs during the window.
- Ad hoc alerts when anything relevant surfaces.
You walk into every interview, briefing, or comment cycle prepared.
You know what’s already circulating, what questions to expect, and what narratives are competing for the space.
You know what’s already circulating, what questions to expect, and what narratives are competing for the space.
HR Director
Companies hiring across all levels, from entry to executive
Situation
Offer acceptance rates have dropped over the last two quarters.
You don’t know whether the cause is compensation, process or something candidates are reading about the company before they decide.
You don’t know whether the cause is compensation, process or something candidates are reading about the company before they decide.
What you get
- Baseline and ongoing scanning of feedback platforms (Glassdoor, Indeed, etc.), forums, AI summaries, and search results candidates actually read.
- Sentiment tracking tied to hiring cycles.
- Named analyst correlates content shifts with funnel changes.
Results
You can see whether acceptance-rate changes correlate with specific pieces of content —
that entered the candidate-facing landscape and identify which ones need attention.
that entered the candidate-facing landscape and identify which ones need attention.
A public story about the company appeared and is trending.
Candidates in your active pipeline are likely to see it. You need to know what they’re seeing and how it’s spreading.
Candidates in your active pipeline are likely to see it. You need to know what they’re seeing and how it’s spreading.
- Real-time alerts on content reaching the candidate-facing surfaces: search results for the company name, AI answers about the employer, professional network discussions.
- Spread and reach mapped continuously.
You know exactly what your pipeline is seeing as they see it
— so hiring managers can be briefed and outreach can be adjusted before candidates go quiet.
— so hiring managers can be briefed and outreach can be adjusted before candidates go quiet.
Volume hiring campaign starts next month.
You need to know the employer-brand landscape going in: what dominates search, what AI says about the company as an employer, what’s on feedback sites.
You need to know the employer-brand landscape going in: what dominates search, what AI says about the company as an employer, what’s on feedback sites.
- Full audit of employer-brand presence across search, AI, ratings platforms, and relevant communities.
- Gaps and risk areas identified ahead of the campaign.
- Ongoing monitoring switched on for the campaign period.
The campaign launches with a clear picture of the employer-brand starting point.
Weak spots are known, not discovered when application volume drops.
Weak spots are known, not discovered when application volume drops.
CISO
Enterprise, regulated industries, companies with strict data security requirements
Situation
A coordinated campaign against the company appears in closed Telegram channels and niche forums.
Outside your traditional security perimeter. No technical anomaly is triggered.
Outside your traditional security perimeter. No technical anomaly is triggered.
How RH Detection helps
- Monitoring of channels outside the security perimeter: Telegram, closed professional communities, regional forums, AI platforms.
- Attack Source Detection identifies coordinated behavior, bot networks, and origin patterns on the narrative layer.
Results
You have visibility into the attack surface your security stack was never built to see —
with evidence of coordination that can be shared with the executive team and external partners.
with evidence of coordination that can be shared with the executive team and external partners.
The company is preparing a regulated launch and needs to demonstrate comprehensive risk coverage,
including reputation-layer threats, to the board and compliance.
including reputation-layer threats, to the board and compliance.
- Deployment within the corporate infrastructure: no sensitive data crosses the perimeter, no new integrations required.
- Coverage extends into the reputation layer: attack detection, narrative monitoring, AI representation. Reporting structured for compliance review.
You can present board and compliance with evidence of reputation-layer risk coverage —
that meets the same standards as the rest of the security stack without adding exposure or integration debt.
that meets the same standards as the rest of the security stack without adding exposure or integration debt.
A technical incident may have reputational consequences.
You need to know whether the story is leaking outside the organization, where, and how fast.
You need to know whether the story is leaking outside the organization, where, and how fast.
- Continuous monitoring of external channels for any mention of the incident: media, forums, professional communities, AI responses.
- Real-time alerts with source context and spread trajectory.
- Named analyst attaches interpretation.
You know if and where the incident is leaking outside the organization —
in time to brief legal, communications, and executive stakeholders before they learn from an external call.
in time to brief legal, communications, and executive stakeholders before they learn from an external call.
Legal Department
Companies in M&A process, regulated industries, or facing competitive pressure
Situation
The company is considering legal action against a publication or an individual for a reputation-harming claim.
Counsel needs a full, defensible record of what appeared, where, and when.
Counsel needs a full, defensible record of what appeared, where, and when.
How it helps
- Full chronological archive: every publication, post, repost, and mention with timestamp, source, and spread path.
- Source attribution.
- Evidence retained in a structure counsel can rely on.
Results
Counsel has an evidence-grade case file — not a dashboard screenshot.
The chronology stands up to the standard a court or regulator expects.
The chronology stands up to the standard a court or regulator expects.
Due diligence is running on an acquisition target.
Beyond financials, the team needs to understand the target’s reputation exposure: press, ratings, AI representation, historical events.
Beyond financials, the team needs to understand the target’s reputation exposure: press, ratings, AI representation, historical events.
- Full reputation audit of the target: public press presence, ratings platforms, social sentiment, SERP, AI representation, historical archive of controversies. Independent picture before the deal closes.
Hidden reputation risks surface before the deal is signed.
The legal team negotiates from a stronger position or walks away in time.
The legal team negotiates from a stronger position or walks away in time.
The company operates in a regulated industry.
Regulators can and do ask: when did you first become aware of X? Counsel needs documentation that shows the company’s awareness timeline is defensible.
Regulators can and do ask: when did you first become aware of X? Counsel needs documentation that shows the company’s awareness timeline is defensible.
- Continuous, timestamped archive of public mentions around regulatory-sensitive topics.
- Documented moment of first surfacing for each material event.
- Audit trail retained and retrievable on demand.
When a regulator asks about awareness, counsel answers with a documented timeline —
not with memory, not with reconstructions, not with a plausibility story.
not with memory, not with reconstructions, not with a plausibility story.
Frequently Asked Questions
The process of tracking brand mentions, reviews, search results, and AI-generated content across media and social platforms in real time. It gives companies early signals on reputation risks before they escalate into something harder to manage.
Most tools return data. RH Detection combines media monitoring, social listening, AI platform tracking, and analyst support in one system — so you get interpretation alongside the signal, not a feed you have to make sense of yourself.
Continuous monitoring across media, social networks, forums, review platforms, and AI tools like ChatGPT or Perplexity — with a named analyst who flags what matters before it reaches mainstream coverage. Volume alone doesn't catch risks. Context does.
Notifications that fire within minutes when new content mentioning your brand appears across search, social, AI platforms, or review sites. Each alert in RH Detection is reviewed by a human analyst who adds context before it reaches you.
Search results, social media mentions, AI-generated answers, review platforms like Google Reviews and Glassdoor, media publications, and closed channels like Telegram. The last category is where problems often surface first — and where standard monitoring tools don't reach.
Negative content in search results or AI platforms affects conversion rates, investor sentiment, and hiring before most companies notice it exists. Catching it early means the response options are broader, faster, and cheaper than damage control after the fact.
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Our team will run a live walkthrough tailored to your industry and risk profile.
We will reach out within 24 hours.