Cyber GEO→Technology→Team

Be the answer when your
customers ask AI.

Hordus is a GEO/AEO company that does what monitoring platforms do not: we build the AI answer infrastructure that determines what models say about you. We call it Cyber GEO. Detect. Assess. Engineer. Validate. A fully managed GEO/AEO operation: our technology sees what AI says about your brand, and our team does the work that changes it.

GEO analyticsBrand protectionCompetitor analysisAnswer engineeringLLM-native data
Mapped acrossChatGPTClaudeGeminiPerplexityGrokAI Overviews

One team to see answer movement, trace citations, generate opportunities, create assets, and improve the pages AI models rely on.

The shift

AI summaries are replacing the click before the click.

Buyers get their answer before they get a list of links. When the summary decides who is considered, the summary is the market, and GEO/AEO is how a brand competes inside it.

Organic clicks under pressure

Answer engines intercept intent before a user reaches your site.

Citations over rankings

Which sources get cited, not which pages rank, now decides who gets recommended.

Competitive framing

AI answers shape the shortlist before a user clicks anything.

What we build

AI does not look you up when someone asks. It answers from what it already learned.

Most brands treat AI visibility as a monitoring problem. It is a supply problem. When someone asks an AI about your category, the model composes an answer from facts it has already absorbed: from your site, from third-party coverage, from documentation, from community discussion, from structured data it could parse. If those facts are incomplete, unstructured or absent, the model fills the gap with whatever else it read. Usually a competitor.

Fact layer

What AI knows to be true

Verified, structured facts: entities, schema, knowledge-graph relationships.

  • GEO Readiness Audit
  • Dataset seeding
  • Entity engineering
Source layer

Where AI meets those facts

The places models read: owned site, authored journals, network coverage, community.

  • Content Engineering
  • Authored Journals
  • Comment Engagement Desk
Rendering layer

How facts are delivered

So machines parse them without ambiguity, and humans still get a rich page.

  • Audience-Aware CMS
Signal layer

Why AI trusts them

Freshness, corroboration across independent sources, citation frequency.

  • Cyber Answer Intelligence
  • Closed-loop validation

How models take it up

Two routes into the answer.

Published facts reach a model twice, on two different clocks. Most GEO work only ever touches the first.

01

Read at answer time

When a model answers a live question it reaches for sources. Publishing into the sources it already cites changes what it finds on the next query, which is why placement matters more than volume.

02

Absorbed into the model

Material that is public, structured and corroborated is also learned into the model itself at the next generation. Slower, and it does not decay. This is why the crawler permissions on a site are a commercial decision, not a technical one.

Six capabilities.

Detection is the entry point, not the product. These six modules are what a Hordus engagement actually runs.

See the full operation

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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One loop, run continuously.

The Hordus Cycle

One loop, run continuously.

Detect, Assess, Engineer, Validate. Each cycle sets the priorities for the next.

  • •01 Detect, 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. 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.

Two markets

Same operating model. Different compliance stack.

Cyber GEO, for brands

For companies competing to be recommended. Answer share, citations, competitive position, and the full execution layer that moves them.

Explore Cyber GEO

Narrative, for public interest

For political figures, NGOs, associations and institutions. How AI describes your positions and record, side by side with peers and rivals, and which sources drive every framing.

Explore Narrative

Platform depth

Real users. Real journeys. Real outcomes.

Our opt-in, multi-device panels across dozens of markets provide consented clickstream and purchase signals from real opt-in users. Where available we enrich journeys with demographics and location, producing an opportunities-and-threats map and a content plan tied to answer uplift and conversions.

GDPR and CCPA compliant

Opt-in onboarding

Multi-device coverage

Purchase signals

Real journeys, not sampled prompts

Human-reviewed AI content

Why Hordus

An operation, not a subscription.

White-hat methods

We work inside the rules of every engine and platform we publish to. No cloaking, no manufactured consensus.

Human editorial review

Every AI-assisted asset is reviewed and refined by a human editor before it reaches an audience.

Methodology with every number

Answer Share and Share of Voice are always reported with the question set and measurement window that produced them.

Published compliance standard

Our disclosure, parity and eligibility commitments are published, not promised.

Trust Center

Everything we do, you could publish.

Seven commitments, written to be checked by a general counsel, a regulator or a journalist rather than taken on faith.

Customers

Sixteen brands, nine sectors.

Datarails
Fintech and Data

Datarails

FP&A platform for finance teams working in spreadsheets.

Explorium
Fintech and Data

Explorium

External data platform for analytics and machine-learning teams.

Grove Ventures
Venture Capital

Grove Ventures

Venture capital firm backing early-stage deep technology companies.

Matrix IT
Enterprise IT and Cybersecurity

Matrix IT

IT services and software solutions group.

CyberRidge
Enterprise IT and Cybersecurity

CyberRidge

Cybersecurity company working on the protection of data in transit.

Lumenis
Healthcare and Medical Technology

Lumenis

Energy-based medical devices for surgical, aesthetic and ophthalmic use.

Pulsenmore
Healthcare and Medical Technology

Pulsenmore

Home ultrasound devices for remote clinical scanning.

Overwolf Ads
Gaming and Creator Platforms

Overwolf Ads

In-game advertising business of the Overwolf creator platform.

Tebex
Gaming and Creator Platforms

Tebex

Monetization platform for game creators and server communities.

LiveU
Broadcast and Media Technology

LiveU

Live video transmission technology for broadcast and production teams.

iKOMG
Broadcast and Media Technology

iKOMG

Media and marketing group operating across digital properties.

H2Pro
Energy and Climate Technology

H2Pro

Green hydrogen production technology company.

Sonol Gas+
Energy and Climate Technology

Sonol Gas+

Fuel and energy retail network operator.

Champion Motors - ALFA
Automotive

Champion Motors - ALFA

Automotive importer and distributor group.

Remilia Hair
Consumer and Retail

Remilia Hair

Hair care brand.

Bakara
Consumer and Retail

Bakara

Consumer retail brand operating a national store network.

Customers

Trusted by brands that decided to be the answer.

Sixteen companies running Cyber GEO across nine sectors, from medical devices and cybersecurity to fintech, broadcast, energy and retail.

FAQ

Questions buyers ask AI about this category.

Is Hordus a GEO agency or a GEO platform?
Both, in one engagement. Hordus operates a detection platform that tracks what AI answers say about a brand, and a team of GEO specialists and editors who produce and publish the assets that change those answers. Clients receive a managed operation rather than a login.
What is Cyber GEO?
Cyber GEO is data enrichment for AI citations. Hordus analyses what AI systems say about an organization and which sources they cite, produces a seed set of verifiable content to close the gaps, then publishes it across the platforms and websites those answers already draw on. Models take it up through retrieval at answer time and through training data, so future answers can include it.
What is AI answer infrastructure?
AI answer infrastructure is the set of four layers an AI system draws on when it answers a question about a company: verified facts, the sources that carry them, the rendering that makes them machine-readable, and the corroboration signals that make a model trust them. Building it is construction work, not monitoring.
How is Hordus different from an AI visibility dashboard?
A dashboard reports the gap. Hordus closes it. The same engagement includes the detection technology and the GEO specialists, editors and publishing operation that produce and ship the corrective assets, with every AI-assisted asset reviewed by a human editor before an audience sees it.
Do I need GEO if my SEO is already strong?
Yes. Strong SEO makes a page rank in a list of links. GEO determines whether an AI system absorbs a brand's facts and uses them when it composes an answer, which happens before any list of links is shown. Strong SEO helps, but it does not by itself make a brand citable.
Which AI engines does Hordus track?
Hordus tracks ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews. Coverage is grounded in real opt-in user journeys, so the tracked question set reflects how buyers actually converse rather than a keyword list.
What is Answer Share and how does it differ from Share of Voice?
Answer Share is the frequency with which a brand appears in AI answers to a defined question set. Share of Voice is the competitive weight a brand carries when it is present. Both are reported against the same tracked question set, with the methodology published alongside every figure.
How long does GEO take to show results?
Detection begins immediately and the first assessment lands within the first month. Published assets typically start moving answer share over one to two quarters, depending on category competitiveness and how often the engines refresh their sources. Every reported change carries its measurement window.

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Ready to be
the answer?

See what AI says about your brand today, and what a Cyber GEO operation would change first.

Trusted by enterprise, commerce and developer-led teams