Cyber GEO

Cyber GEO / AEO

Cyber GEO:
managed GEO/AEO operations.

Generative Engine Optimization and Answer Engine Optimization are usually sold as analytics. We sell them as construction: fully managed GEO/AEO operations that build the fact, source, rendering and signal layers AI draws from.

AI systems are describing your brand to your buyers right now, assembled from sources you never audited. We run continuous operations to make sure that description is accurate, complete, and yours.

Cyber GEO is data enrichment for AI citations.

It begins with analysis: what AI systems say about an organization today, which questions they are answering, and which sources they cite when they answer. That analysis produces a seed set of content, written to supply the facts those answers are missing or getting wrong.

The seed set is then distributed, not only on the organization's own site but across the platforms and publications AI answers already cite. Placement is the point. Content that sits where models do not look changes nothing.

Models then take the material up two ways. Retrieval pulls it in at answer time. Training absorbs it into the model itself. That is why the work compounds rather than decays: every published asset stays in the supply a model draws from, and keeps shaping answers long after it went out.

The operating model

Operations, not software.

Security teams do not hand you a vulnerability scanner and wish you luck. They run operations. Neither do we. Detect, assess, engineer, validate, on a standing cadence, with our people doing the work.

Detect / Assess / Engineer / Validate

The cycle.

One continuous loop, run at different cadences depending on the stage.

01

Detect

Continuous

Continuous cross-engine tracking of what AI says about you, grounded in how real buyers actually converse.

02

Assess

Monthly and on change

Where you are absent, where you are misframed, and which questions competitors are winning.

03

Engineer

Weekly production

We create and publish the content, entities and structured data that correct the record, across owned, authored and earned surfaces.

04

Validate

Monthly reporting

Answer Share, Share of Voice, position in response and cited sources, feeding the next cycle.

The Hordus Cycle

01 Cyber Answer Intelligence

Stage: Detect. What AI says about you across every major engine, grounded in real user journeys.

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02 GEO Readiness Audit

Stage: Assess. Every page on your site scored 0-100 for how well AI can read it.

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03 Content Engineering

Stage: Engineer. Gaps become briefs, briefs become published assets. Human-reviewed, always.

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04 Audience-Aware CMS

Stage: Engineer. One set of facts, rendered for machines and for every audience segment.

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05 Authored Journals and Network Distribution

Stage: Engineer. Disclosed expert publications and a five-tier publisher network.

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06 Comment Engagement Desk

Stage: Engineer. Your brand in the news conversation, disclosed and human-approved.

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Managed, not licensed

Why it is a team, not a login.

Our platform runs the detection. Our GEO specialists and AI content editors run the work. Every AI-generated asset is reviewed and refined by a human editor before it reaches an audience. You get a team, not a login.

The operating model is constant. The configuration never is.

Which modules run, at what cadence, under which review gates and disclosure regime, is configured per client before the first asset is produced: by business domain, jurisdiction, and regulatory exposure. A fintech operates under claim-substantiation review. A hydrogen company under environmental-claim substantiation. A political organization under mandatory disclosure and election-period rules.

See how configuration varies by sector

System architecture

Detection layer, Hordus operations, published surfaces.

What we read

ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews, plus the real user-journey panel.

What we run

The four cycle stages, with the six modules attached at the stage each belongs to.

Where it lands

Owned site, authored journals, video, audio, network tiers, comment layer.

Closing the loop

Validation feeds back into detection.

Every asset we publish is measured for its effect on answer share and cited sources, and that measurement sets the next cycle's priorities. Nothing is produced that is not measured, and nothing is measured that does not change what happens next.

Questions

Frequently asked.

Is Cyber GEO software we operate ourselves?
No. Our platform runs the detection layer, but our GEO specialists and AI content editors run the work. You get a managed team, not a login.
How is this different from a GEO/AEO monitoring tool?
Monitoring tells you what is wrong. We run the full detect, assess, engineer, validate cycle continuously, and every AI-generated asset is reviewed by a human editor before it reaches an audience.
Why does the configuration differ by client?
Which modules run, at what cadence, under which review gates and disclosure regime, is configured per client by business domain, jurisdiction and regulatory exposure. The operating model is constant; the configuration never is.
Do all six modules run for every client?
The cycle and modules are the same managed operation for every client. Cadence and depth are tailored during onboarding to the client's regulatory environment and goals.

Get started

Ready to run Cyber GEO
for your brand?

Talk to us about the configuration your business, jurisdiction and regulatory exposure require.