Trust Center / White-Hat Standard

Trust Center

The white-hat
standard.

GEO can be done two ways, and only one of them survives contact with a better model.

One improves how accurately and completely a brand is represented, using verifiable information published in places models legitimately read. The other exploits model weaknesses, fabricates consensus, or hides intent. The first gets better over time as models improve. The second gets caught. Hordus does the first, exclusively, and structures its products so the second is not available even if a client asked for it.

What we do

Six practices.

Publish verifiable information

Every factual claim we publish on a client's behalf traces to a source the client can stand behind.

Improve structure, not just presence

Schema, entity markup and clear hierarchies, helping models parse what is already true.

Correct the record at the source

Where AI misdescribes a client, we fix the underlying sources rather than trying to trick the model.

Disclose affiliation

Brand-affiliated content says so, prominently and in the structured data.

Human review before publication

Every asset, without exception, approved by a named person.

Respect platform terms

Site terms and platform policies are a ceiling, not an obstacle to route around.

What we never do

Ten hard stops.

No fabricated or multiple identities, no persona libraries, no identity rotation
No simulated grassroots support or manufactured consensus
No engagement gaming: no vote manipulation, like-boosting or coordinated amplification
No auto-generated conversations between accounts
No cloaking: crawlers never receive substantively different content from humans
No prompt injection, jailbreaking or exploitation of model vulnerabilities
No link schemes, private blog networks or content farms
No CAPTCHA solving, login bypass or terms-of-service evasion
No undisclosed political or commercial messaging
No unreviewed AI output published to any audience

Out of scope, not deprioritized

A design-review stop, not a backlog item.

If a requested capability would require any of the above, it is out of scope. Not deprioritized, not under review. Our product specifications treat such requests as a design-review stop rather than a backlog item.

Compliance mapping

Which instrument each practice satisfies.

One real, disclosed identity in the Comment Engagement Desk

Satisfies:

  • UCPD Annex I point 22
  • DMCC Act 2024 Part 4
  • FTC 16 CFR Part 465
  • FTC Act section 5

Human approval of every comment, with audit log

Satisfies:

  • 16 CFR Part 465: no fabricated or insider-originated content presented as independent

Site terms as a ceiling

Satisfies:

  • Platform terms of service
  • Contract law generally

Content parity between renderings

Satisfies:

  • Search and AI platform cloaking policies
  • FTC Act section 5

Published methodology for every score

Satisfies:

  • The substantiation principle under FTC Act section 5 and equivalents

Trust Center

The seven commitments in one place.

Open

Content Parity

Same facts in every rendering, machine or human.

Open

Data Protection

Consent-based panels, GDPR and CCPA compliance.

Open

Methodology Disclosure

How every published number is produced.

Open