Protect · 05
Monitoring
Search, media, and AI answers reviewed on a schedule by people rather than by an alert rule. A documented baseline, a defined cadence, and a named threshold for when something warrants a phone call instead of a line in a report.
Automated alerting is cheap and largely useless on its own. Anyone can set up a keyword notification; the result is a stream of mentions with no indication of which ones matter. The expensive part of monitoring is judgment, and judgment does not come from a rule.
Our version has three properties that alerting lacks. It is measured against a documented baseline, so a change is identifiable as a change rather than as noise. It is reviewed by someone who knows your situation, so a new mention is assessed for trajectory rather than counted. And it has an agreed escalation threshold, so you know in advance what will produce a call at nine at night and what will appear in the next report.
The AI dimension is now a substantial part of this. Model answers change without any external event: a system is updated, a retrieval index shifts, and the description of you moves. Nothing was published and nothing happened, but the first impression a counterparty receives is different. Detecting that requires deliberately re-asking the questions on a schedule, because nothing will alert you to it.
The purpose is time. Almost every problem in the reactive practice would have been cheaper and more tractable if it had been identified in week one rather than month six. Monitoring buys that week.
When it applies
The situations this is the right tool for.
Remediation work has just concluded
Positions drift and material returns. The standing layer that follows a project is what keeps the result.
You are in a visible or contentious sector
Where new material is a routine occurrence rather than an event.
A transaction is in progress
Anything appearing during diligence needs to be known before the counterparty raises it.
There has been a previous episode
Old material resurfaces on anniversaries, in aggregators, and whenever an algorithm changes its mind.
You rely on AI-mediated first impressions
Model answers change silently. Scheduled re-asking is the only way to see it.
A board has asked for standing assurance
A documented, periodic report is what that request actually needs.
Process
How the work runs.
Baseline documentation
The current state across search, media, and AI answers, dated. Everything afterwards is measured against this, including by you.
Coverage definition
Which names, entities, queries, and questions are in scope, and, stated explicitly, which surfaces are not observable.
Threshold agreement
What constitutes a call versus a report line, agreed with you in advance rather than judged in the moment.
Scheduled human review
On the agreed cadence, by someone who knows your situation, with the AI question set re-run each cycle.
Reporting against baseline
What changed, what it means, what we recommend, and what has not improved. Short, and honest about the null result.
Escalation when the threshold is met
Direct contact, with an assessment attached rather than a raw alert forwarded.
Before you engage
Where the limits are.
Monitoring is detection, not prevention. It tells you sooner; it does not stop anything from being published.
Coverage is also not total. Private groups, closed platforms, and messaging apps are not observable, and material can circulate there for a long time before it surfaces anywhere we can see.
We do not monitor private communications or attempt access to closed spaces. Where a client asks, we decline.
Questions we are asked
- How is this different from a free alerting tool?
- An alert tells you a keyword appeared. This tells you whether it matters, why, and what to do, measured against a documented baseline by someone who knows your situation. We recommend keeping the free tool as well; it is a useful raw feed.
- How often is the review?
- Monthly is the common cadence; weekly during transactions or active situations. The AI question set is re-run every cycle, because that is where silent change occurs.
- What happens when something appears?
- It is assessed for trajectory and reach first. If it meets the threshold we agreed, you get a call with an assessment attached. If it does not, it appears in the next report with the reasoning.
- Can you monitor everything?
- We monitor the public record: indexed results, published material, autocomplete predictions across regions, and AI answers across systems, which is what a counterparty actually reads. Private groups, closed platforms, and messaging apps are not observable, so we define the coverage boundary explicitly at the start rather than implying it is total.
- What does this cost?
- The fee is stated in a written proposal before any work begins, scoped to what the assessment finds. How that is arrived at is set out in full on the How We Work page.
Related
Mechanisms that often run alongside this one.
Is this your situation?
One conversation, in confidence, with an honest reading of whether this mechanism is the right one, including when it is not.