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WHAT CONTINUOUS MONITORING COVERS
Media & press — news sites, newspapers and broadcast coverage, tracked as it publishes
Social & forums — billions of posts across social platforms, forums and video, filtered for signal
Search & AI answers — brand citations monitoring across page-one results and what ChatGPT, Gemini and Perplexity say about you
Reviews & ratings — Trustpilot, G2, Glassdoor and app-store scores, checked in real time
Real-time risk alerts — analysts interpret the signal and escalate to a team, not a raw feed
Online Reputation Monitoring & Brand Mention Tracking
Real-time Monitoring — brand monitoring and reputation monitoring in one system — puts your entire information field: media, social, search, reviews and AI-generated answers under one real-time contour, read by analysts who separate signal from noise and escalate what's actually risk. Stop learning about a threat last and see it while it's still cheap to act on. That's proactive reputation management, not damage control after the fact.
RH Detection · Online Reputation Monitoring
Signs Your Brand Requires Continuous Monitoring
what problems we help to resolve
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Last to Know
Negative coverage reaches you through a client’s phone call or a journalist’s request for comment — never from your own system, first.
Data Without a Picture
Mentions live in five different tabs and nobody’s job is to connect them — so the pattern only becomes visible after it’s already a problem.
AI Blind Spot
Clients and investors are already asking ChatGPT and Gemini about you — you have no idea what those answers actually say.
No Picture Before the Big Decision
A raise, a deal or a major campaign is coming up, and there’s no current read on what the information field already says about you.
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What's included in Continuous Monitoring Solution
One Window for Full Brand Visibility
Media, social, search, reviews and AI answers each generate their own stream of noise. Watched separately, the signal that actually matters — a coordinated spike, a narrative starting to shift, a fabricated review pattern — gets lost between tabs. Continuous Monitoring reads all five as one field, so the thing that’s actually risk gets surfaced instead of buried in volume. That's the practical difference from classic brand monitoring services, brand reputation monitoring or reputation management tools, which usually watch one channel at a time — Continuous Monitoring reads the whole field together, in real time.
Continuous monitoring of the entire information field; experts interpret signals and activate on risk.
Continuous Monitoring (RH Detection) by Reputation House
Full-field Unification
Media tracking, social, search, reviews and AI answers in one system, updated in real time — not five disconnected tools you have to check separately.
Signal-vs-noise Sorting
Analysts read the field and send alerts with interpretation attached — not a raw stream of mentions for you to make sense of yourself.
RPN Dynamics
Predictive media monitoring: risk is tracked as a moving number over time — so you see whether exposure is rising or settling, not just where it stands today.
Escalation on Confirmed Risk
When a signal is confirmed as real risk, the team engages — before it’s public, not after the first headline.
One System, not Five Separate Tools
If the field is split across separate tools, the gap between them is exactly where risk goes unseen. Continuous Monitoring runs media, social, search, reviews and AI answers as one connected system, with analysts reading it every day — not a login you have to remember to check.
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A
Listening / DRP platforms
SaaS monitoring & alerting tools
Manual / ad-hoc Monitoring
occasional in-house checks
Continuous Monitoring
(RH Detection)
(RH Detection)
What it does
Surfaces mention volume and sentiment scores
Someone checks a few channels when they remember to
Reads the whole field daily and tells you which signal is actually risk
Who acts on it
You do — no analyst included
Whoever has five spare minutes that day
A dedicated analyst team, every day, whether you log in or not
Coverage
Mentions and sentiment, rarely search or AI answers together
Whatever one person remembers to check
Media, social, search, reviews and AI answers — one field, one score
Pricing model
SaaS seat licence
Internal headcount, opportunity cost
One retainer, scoped to your field and languages
Analytical foundation
Automated sentiment scoring, no proprietary research behind it
Whatever that person happens to notice
Platform data, a dedicated team, and reputation intelligence from RH Research Center studies
how we're different
One-window Tool, with Expert Team Accountable for It
The difference isn’t one thing — it’s three, running together: a live platform (Risk Control Center), analysts reading it every day, and a proprietary research base behind their calls. Most alternatives give you one of the three.
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Who it's for
Built for the Roles That Can’t Afford to be the Last to Know
CEO & Head of Risk
Enterprise · Regulated industries
Business reputation monitoring with signal tied to deals and dollars, not mention volume
One risk score across the whole information field, tracked over time
Escalation the moment a signal is confirmed — not a weekly digest
"I need a signal tied to money and deals — not a dashboard of how many times we were mentioned."
General Counsel &
Compliance Lead
Compliance Lead
Due diligence · KYC/AML
Brand compliance monitoring with negative-news screening built into ongoing monitoring, not a one-off check before a deal
A documented record for due-diligence and audit questions
Coverage across search, media and AI answers — where DD teams actually look
"Negative news screening is now a standard part of risk-based due diligence — we need a system running before the deal, not a scramble during it."
CCO & Head of Communications
Enterprise, large brand, holding
Sees a narrative forming while there’s still time to do something about it
Public relations media monitoring: one read across media, social and AI answers, not four separate reports
A clear handoff to Control the moment something needs to be actively managed
"I want to see the narrative while it’s still forming — not read about it in the press after it’s already public."
What we do
How the Process Works, From First Contact to a Running System
01
Baseline Field Mapping
An audit of what already exists about you across media, social, search, reviews and AI answers right now — the starting picture, before anything is calibrated.
02
Alert Calibration
What counts as a signal versus noise, tuned to your brand, industry and regions — so alerts arrive with context, not as a flood of every mention.
03
Launch & Platform Access
The system goes live and your login to Risk Control Center opens at the same time — analysts and platform, active together, not the platform first and a team later.
04
Continuous Reports & Escalation
Regular reporting on how the field is moving, plus immediate escalation the moment a confirmed risk appears — visible in the platform any time, not just when a report lands. That escalation trail doubles as documentation your security team can feed into incident response and your leadership can point to in board-level risk reporting — the same data serving cybersecurity and business strategy at once.
Launch is also when platform access opens up — see what's inside Risk Control Center
Risk Control Center
One login. Every Signal That Touches Your Reputation, in One Window
Platform access is part of the program, not an add-on sold separately. Search, reviews, social listening and AI answers live on one screen instead of four disconnected tools — and it’s the same screen your analyst team works from, so what you see is exactly what they’re watching.
AI Representation Analysis
What AI says About You is Now a First Impression — We Watch it Like One
The platform runs your brand's real questions — “What is [Company]”, “Is [Company] safe”, “[Company] reviews” — against ChatGPT, Claude, Gemini, Grok and Perplexity, then scores every answer on relevance, whether it actually answered at all, and whether it's clean of negative framing. Most monitoring tools stop at search results. This is the layer competitors don't offer.
When a prospect asks an AI assistant instead of Googling, there's no page two to push a wrong answer down — you need to know it's wrong before they see it.
AI Representation Analysis — Risk Control Center
A
Risk Control Center
The platform layer
Reputation House
The expert team on top of it
What it gives you
Live monitoring across search, social, reviews and AI, always on
Interpretation of what the data means, and a call on whether it’s noise or risk
Who's watching it
You, whenever you log in
A dedicated analyst, watching every day — whether you log in or not
When something changes
An alert appears in the dashboard
The team triages it, logs it in the Escalation Log, and engages if it’s confirmed risk
What backs the judgment calls
Real-time data from your own information field
Based on RH Research Center's cumulative research — 9+ years of reputation management and digital risk protection work, not the history of a single account.
End-to-end solution
Platform & Expert Team Support
Risk Control Center gives you the data, always on, in one place. The analyst team gives you what it means — interpretation and escalation, with a record of what was flagged and what happened next. Buying one without the other is buying half the program.
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Case Studies
Case studies: what managing the whole field looks like
RH client result
Public Figure, Sports
CIS/MENA · ongoing weekly monitoring
Before
A public figure with an active narrative and no continuous read on the field — results depended on catching negative shifts before they compounded, with no readiness plan if an attack started.
After
96% KPI
of the negative-reduction target hit via weekly search and video audits with continuous monitoring underneath — unique negative pages in the primary search engine fell from 16 to 6, with the monitoring layer keeping the team ready to respond to any new attack.
RH client result
Public Figure, Real Estate
Eastern Europe / MENA · 6 regions, 13 months
Before
An active field-repair program across six regions had no mechanism to hold its gains once the intensive phase ended — without a watch layer, the field drifts back toward where it started.
After
6 regions
held stable under a continuous monitoring and alert-channel layer added on top of the repair program — the same mechanism that, on its own, is what this page’s product runs.
RH client result
Business & Consulting
UAE / Oman / Qatar / Bahrain · 4 months
Before
A footprint-minimization program needed to avoid creating an "information void" that itself reads as a red flag to banks and financial institutions — a risk only visible with continuous monitoring, not a one-off cleanup.
After
4 negatives
deindexed and the field held under personal monitoring across five regions — watching that the reduced footprint stayed clean instead of drifting back into risk.
Market pattern
Technology / SaaS
What happened
Q1 results showed weaker-than-expected demand for Wix’s AI products — the gap between the AI narrative investors had priced in and the actual numbers went unflagged until earnings day.
Mechanic
The stock dropped 27% in a single session and triggered a shareholder investigation for securities fraud. AI-narrative gaps — public claims outpacing what the product actually delivers — are exactly what an AI Presence module inside continuous monitoring is built to catch before an earnings call, not after.
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Would like to see cases from your industry?
Our case library is broken down by sector: fintech, real estate, FMCG, professional firms and more.
Tell us yours and we’ll send the closest matches.
Tell us yours and we’ll send the closest matches.
The cost of missing it
Four Companies. One Pattern:
Nobody Was Watching Closely Enough
None of these were hidden. Each signal was visible in the public information field before it became a headline — the gap was always in who was watching, not in what was knowable.
Market pattern
Automotive services
What happened
A gap between Driven Brands' public narrative and its actual 2023−2025 numbers went unaddressed for three years — nobody was watching the field closely enough to catch the drift while it was still small.
Mechanic
The market caught up in a single session: shares fell 39% and a securities-fraud class action followed — the exact failure mode continuous monitoring exists to catch years earlier, while the gap is still cheap to close.
Market pattern
Clinical research
What happened
Concealed clinical-trial cancellation-rate data sat inside the company, unaddressed, until the market found it independently — not the company itself.
Mechanic
Stock fell 15.9% the day the data surfaced publicly. The gap between an internal signal and its public discovery is exactly where continuous monitoring is built to intervene first.
Market pattern
Banking
What happened
Citigroup beat Wall Street’s forecasts on net income and trading revenue — and its stock fell about 5.3−5.7% in a single session anyway. No scandal, no miss: just full-year guidance investors read as muddled.
Mechanic
Strong numbers don’t protect you if the narrative around them goes unmanaged. Markets price the ambiguity, not just the results — the exact gap continuous monitoring is built to flag before an earnings call, not after.
Market pattern
Food & beverage
What happened
One regional campaign referencing the 1980 Gwangju massacre went out without a cultural audit. Early backlash was visible online for days before it became a global story.
Mechanic
Six weeks later: the CEO was fired, government contracts were cancelled, and every store closed for mandatory retraining — because nobody caught the early signal in time to intervene while it was still cheap.
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We don't touch your search results
Continuous Monitoring watches and flags. Actively changing what ranks — search, reviews, narrative — is RH Control, a separate program.
We don't fight an active crisis
If a threat is unfolding right now, that's RH Defence — not this program. See the crosslink below.
No 100% guarantee
The public information field depends on algorithms and platforms we don't control. We commit to systematic coverage and honest reporting — not a promise to catch literally everything.
Not a replacement for your team
We escalate when risk is confirmed. Your in-house risk, legal or comms team still owns the decision — we don't run it instead of them.
What we don't promise
The Limits of This Solution
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What You're Actually Paying For
The investment logic
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You're Not Pricing Hours
You're pricing the cost of a missed signal. Driven Brands' narrative gap sat unnoticed for three years before costing 39% of its stock value in a day; Medpace lost 15.9% the day the market found what internal monitoring should have caught first. This is priced against that, not against a headcount of analysts.
We Don't Price Like a Listening Dashboard
A SaaS seat gets you data. This gets you an analyst team reading that data every day and escalating what's real — interpretation and accountability are part of the price, not an upsell.
The Price Includes the Full Platform
All five RCC modules — search, social, AI answers, reviews, sentiment — plus RPN dynamics and our own ecosystem of verified accounts and proprietary tools, not a single-module slice of it.
It's a Retainer, not a Project
Risk accumulates silently and surfaces without warning — a one-time scan freezes a snapshot; a retainer keeps watching. That's why it's billed monthly, like any function that has to run continuously.
Curious where you'd land in the range? See how pricing breaks down by region and scope
Know the Moment Something Changes First
Tell us what you currently know about your presence across media, social, search, reviews and AI answers. We’ll map your information field and scope what continuous monitoring would look like, before anything starts.
Continuous Monitoring (RH Detection) runs $ 5−25K/month, scoped to your field and languages at the audit.
RH Detection
Digital Risk Protection
Detect external digital threats and quantify their financial exposure.
RH Detection
Brand Audit /
Brand Insight
Brand Insight
Analytical map of the information field: HR, corporate, product, competitors — as a basis for risk.
RH Control · Influence
AI Reputation Management
Once monitoring flags a wrong AI answer, this is where it gets corrected.
RH detection
Reputation Monitoring
Continuous monitoring of the entire information field; experts interpret signals and activate on risk.
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FAQ · Online Reputation Monitoring
Still Have Questions?
Online Reputation Monitoring & Brand Mention Tracking — also called online brand monitoring or internet reputation monitoring — is a full-program retainer for enterprise reputation monitoring and media monitoring services: ongoing, real-time monitoring of everything published about you across media, social, search, reviews and AI-generated answers, read by analysts who separate signal from noise and escalate confirmed risk to a team — not a self-serve listening dashboard.
Continuous Monitoring only watches and signals — it doesn't change your search results (that's RH Control) and it doesn't fight an active crisis (that's RH Defence). Think of it as the layer that tells you when either of those is needed, before it becomes obvious to everyone else.
As part of our reputation monitoring services: search results (SERP), social & mention listening (SCAN), AI answer tracking, reviews & ratings, and sentiment/tone — all five run together as one contour, with a shared RPN risk score and alerting on top.
Yes. AI Representation Analysis tracks how ChatGPT, Claude, Gemini, Grok and Perplexity answer real questions about you, scored on relevance, volume and how clean of negative framing the answer came back.
A monthly retainer, $5–25K/month, depending on the scope of your field, languages and regions. Full tiers are on the pricing page, or a confidential audit confirms the exact quote.
This is online brand surveillance and monitoring — media, social, search, reviews and AI answers across digital channels. Broadcast and print aren't covered; if a story breaks there, it almost always surfaces online within hours, and that's where the platform picks it up.
It's a media tracking service, not self-serve software. You get full platform access to Risk Control Center, but a dedicated analyst team reads the field every day and escalates confirmed risk — the software alone is what a SaaS monitoring tool sells you.
Media mentions tracking runs across your entire field — media, social, search, reviews and AI answers — but analysts filter signal from noise first. You're not handed a raw feed of every mention; you see the ones that are actually risk, scored and prioritized.
Yes. For General Counsel and compliance leads, this runs as online brand compliance monitoring — negative-news screening built into ongoing coverage, not a one-off check before a deal. Any media monitoring organization, from a single enterprise brand to a multi-brand holding, gets the same one-score view.
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