GEO for cybersecurity companies
No market asks for more proof. And no market has so many providers promising exactly the same thing.
In short
- Security questions to AI are about obligations. NIS2, ISO 27001, NEN 7510, DORA. If you do not cover those frameworks explicitly and correctly, you do not get into the answer.
- In this field, models are more careful about naming names, because a wrong answer costs more here. So they lean harder on sources with proven authority.
- That makes trade media, industry associations and research reports more important here than in any other IT segment.
- Fear marketing backfires. A page that mostly threatens offers no fact to quote. A page that explains an obligation precisely does.
- Every month we measure the compliance and service questions in your specialism and track which sources carry authority.
Why this segment works differently
In most markets a model picks the source that gives the clearest answer. In security it matters more whether the source can be trusted, because a wrong answer about a legal obligation has direct consequences.
In practice that means three things.
- Accuracy is a visibility factor.A page that defines NIS2 correctly, including who it does and does not apply to, gets quoted sooner than a page that covers the topic broadly but vaguely.
- Origin counts.A reference to the legal text, the NCSC or an industry body makes your own page a more trustworthy source too.
- Names of people matter.A statement from a named security specialist with a profile anyone can check is a block a model can take over whole.
What we change for security companies
One page per framework, not a catch-all page
NIS2, ISO 27001, NEN 7510 and DORA are separate questions with separate buyers. One "compliance" page answers none of the four well enough to be quoted.
Scope before your solution
First who the obligation affects and what it says exactly, then what you do about it. That is not only more honest, it also produces the quotable block that gives you visibility.
Proof instead of adjectives
Certifications as text, with number and year. Response times in numbers. Volumes. Names of specialists with their background. Where an NDA gets in the way, an anonymised case with real numbers.
Trade media and industry bodies
This is the heaviest lever in this segment, and the one that decides the most. We start with the sources the engine already cites today for your core question.
Read more
GEO for IT companies
GEO for MSPs
What is GEO?
Questions from security companies
NDAs stop us from naming almost any clients. Can GEO still work?
Yes, but the weight shifts. Without client names you lean on other facts that can be checked. Certifications, volumes, response times, sector experience in general terms, and the names and background of your own specialists. Fully anonymous cases without a single number give a model nothing to hold on to.
Does it help to publish about threats and incidents?
Only if there is a fact in it that can be checked. A piece that mostly creates urgency offers nothing to quote. A piece that describes an incident precisely, with a timeline, a source and what organisations can actually do about it, does. Trade media pick up that second kind too, which works the second lever.
Our market is full of almost identical providers. Does this help?
That is exactly why it helps. When fifty companies promise the same thing, a model picks the one whose properties it can establish best. Which framework, which sector, which size, which certification, which response time. Standing out is not a marketing exercise here. It is a condition for being found.
Who does AI name for the questions in your specialism?
We put the compliance and service questions from your market to several engines and show you which sources carry the answer.
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