Commercial Model & Governance

Machines now define your company.
You need to own the facts they use.

AI agents, crawlers and retrieval systems describe your business to people and to other machines, using data you don't fully control.

Organizational Governance

A responsibility for the board.
An asset for every department.
A right for every employee.

Fact governance is not a short-term sales or marketing campaign. When external systems misrepresent your company, it impacts recruitment, procurement, compliance, and investor trust alike. Everyone in your organization deserves to operate on accurate corporate facts.

01. Board & executive

Protects enterprise valuation, regulatory compliance, and corporate trust.

02. Every department

Empowers Legal, HR, Finance, and Ops with verified primary data.

03. Every employee

Ensures no team member is constrained because machines misrepresent their work.

The evidence

Three measured ways AI systems get your company facts wrong.

79.6%

Systemic collapse

RAG collapse rate across 1,528 simulations

AI writes much of what is published online, so AI systems end up retrieving their own output. A single self-authored reference collapsed answers into near-identical responses.

Druck & Smith (2026), RAG Collapse, arXiv:2608.22118

Up to 77%

False rejection

Rate at which AI rejects true facts when misled by web noise

Faced with unverified posts and citations on the open web, models rejected correct company facts in up to 77% of cases — denying the actual truth.

Khurana et al. (2026), Authority, Truth, and Citation Bias in LLMs, arXiv:2606.13104

26.6%

Noise loss

AI accuracy when facts are buried in website clutter

Accuracy falls from 61.0% to 26.6% when a key business fact sits inside normal marketing copy. Standard web pages read as background noise to machines.

Dai et al. (2026), LLM-Oriented Information Retrieval, ACM SIGIR 2026, arXiv:2605.00505

Geogiraph gives machines something else to retrieve: facts a person has verified against their primary source.

The Governance Process

The method: Establish. Verify. Measure.

We build, verify, maintain, and measure your external factual layer with minimal effort from your technical teams.

01 // ESTABLISH

Build the fact layer

We establish the facts that define your company from primary sources and structure them in a machine-readable Knowledge Graph.

02 // VERIFY

Tie every fact to proof

A person verifies every fact against its authoritative source, creating explicit provenance machines can evaluate.

03 // MEASURE

Keep it current

We continuously measure how external machines use those facts, identify gaps early, and keep the complete fact layer current.

Commercial model

One price per brand. Everyone in your company included.

Pricing is driven by entity/brand count and the volume and complexity of public information managed. No seat fees. Verified facts and insights are shared freely across your entire team.

Single entity base

From €650 /mo

Billed annually (€7,800 per year)

Fact layer built from your primary sources
Every fact verified by a person against its authoritative source
Continuous measurement of how external machines use your facts
Unlimited team members. No seat fees.

Starts with a free External Data Governance Review — on us.

See how machines trust your corporate identity

Multiple entities

Let's talk

Price scales with the number of entities and the volume and complexity of your public information.

Talk to us

Take ownership of your company facts.

Order an External Data Governance Review and see how AI agents, crawlers and retrieval systems evaluate and trust your corporate data.

The first review is free — on us