Standards

About AIOFacts

AIOFacts is a Digilu-published reference documenting the developing field of AI Optimization.

Its purpose is to distinguish evidence from assumption. Definitions, frameworks, terminology, and platform behavior can change. AIOFacts records those changes, cites the strongest available sources, and corrects material errors openly.

AIO PUBLISHED BY Digilu

Ownership

Editorial responsibility

Digilu owns and maintains AIOFacts. AIOInsights is Digilu's diagnostic platform, while AIOFacts is the supporting reference and evidence library.

Digilu sells work in the field this site documents. That is a real conflict of interest, and how it is handled is set out in full in the conflicts of interest section of the Editorial Method. The short version: no payment is accepted for a conclusion, Digilu-originated frameworks are labelled as positions rather than consensus, and no business is scored here.

Publisher
Digilu
Editor
Mike Millett, Digilu
Contact
[email protected]
Editorial standard
aiofacts.com/editorial-standard/
Corrections
aiofacts.com/corrections/, machine-readable at /corrections/corrections.json
Site first published
2026-06-23
Last editorial review
2026-07-23

What AIOFacts does

  • documents terminology
  • cites primary sources
  • identifies unsupported claims
  • records platform changes
  • distinguishes evidence from inference
  • versions material definitions
  • publishes corrections

What AIOFacts does not do

  • claim access to proprietary model logic
  • guarantee AI recommendations
  • certify businesses
  • present Digilu frameworks as universal consensus
  • accept payment for conclusions
  • disguise opinions as facts

Related properties

Where AIOFacts sits in the AIO system.

AIOFacts is the reference layer of a larger platform. AIOInsights is the flagship public front door, and several engines sit behind it: AIOTruth evaluates and verifies a specific site, AIOStory compares, and AIOWeather forecasts change. AIOFacts defines. Digilu is the company that implements the work and publishes AIOFacts.

AIOFacts and AIOInsights. AIOFacts documents the developing field: what a term, standard, or method means, what evidence supports it, and what remains unsettled. AIOInsights evaluates the observable signals a specific business or website publishes and answers how AI understands that business. No scores are published on AIOFacts, the AIOInsights methodology is not reproduced here as the AIOFacts framework, and AIOInsights results are not used as evidence of how AI platforms behave in general.

AIOFacts and AIOTruth. AIOTruth is the evaluation and verification engine behind the main AIOInsights checks. When AIOFacts describes a signal, a protocol, or a measurement, AIOTruth is where that signal is actually evaluated on a specific site. AIOFacts states what is known; it does not run those evaluations itself, and no engine result is cited here as proof that a definition is the accepted one.

Accountability

Corrections

A reference is only as good as its willingness to be wrong in public. AIOFacts corrects material errors openly, and each record keeps the original statement, the corrected statement, the date, the reason, and the source supporting the change.

If you find an error, or want to submit a source or a term, write to [email protected] or use the contact page. The full record is at Corrections.

How this is made

Read the method, then hold us to it.

The Editorial Method describes how claims are reviewed. The Editorial Standard sets what may be cited and how.

Editorial Method Editorial Standard →

AIOFacts is the reference layer of Adaptive Brand Management. We define terms and date them. Nothing here is for sale, because a reference that sells the thing it defines stops being a reference.