The Dgenius Observatory
Longitudinal observation of how companies are represented, compared and recommended across AI-mediated buying journeys.
The Observatory is the public surface of the Dgenius intelligence layer. It publishes measured observations, the protocol that produced them, and the limits of what they can support. It is not a marketing dashboard, and it never displays a number that is not traceable to a recorded observation.
Current state of the record
No index has been published yet.
The protocol below is fixed before the first observation is recorded. When a series reaches its stated sample, it is published here with its full methodology. Until then this page carries no numbers, because there are none to carry.
Reading the record…
Protocol
How an observation becomes evidence
The same six steps govern a client engagement and a public index. The only difference is what may be published.
- 01
Define the intent universe
A category is expressed as the buying questions a real purchaser asks — shortlist, comparison, requirement, risk and switching intents — not as keywords.
- 02
Fix the prompt families
Each intent is expressed as a family of phrasings so a single lucky or unlucky wording cannot be mistaken for a finding.
- 03
Repeat the observation
Answers vary across sessions. Observations are repeated across systems and sessions so variance is measured rather than ignored.
- 04
Classify the state
Every observation is classified into one documented state by an analyst. Ambiguous outputs are recorded as UNCERTAIN and never promoted.
- 05
Record provenance
Company, category, intent, prompt family, system, timestamp, state, competitors, citations, sources, methodology version and analyst are stored with each observation.
- 06
Append, never overwrite
Remeasurement adds rows. Original observations are preserved so change over time remains measurable.
Provenance and limits
What the record can and cannot support
What an observation is
One classified answer from one system, to one prompt, at one moment, about one company. Nothing more is claimed for it.
What an observation is not
It is not a ranking, a score, a market position, a traffic estimate or a prediction. Aggregates are only as strong as the sample and the protocol behind them.
Where the data comes from
Public research observations are collected by Dgenius analysts under a defined public protocol, or supplied by a client who has explicitly approved publication. Confidential engagement data is never published, in any form, including aggregate, unless approval is explicit.
Automation status
Where an authorised model or API integration exists, it is named in the series methodology. Where it does not, observations are recorded manually by an analyst. Dgenius never simulates a model answer.
Dgenius AI Discovery Index
An index architecture, published category by category
An extensible benchmark architecture, published category by category. Each index states its intent universe, prompt-family count, observed systems, observation window, methodology version and sample size before it states a single result.
- AI Discovery Index — CybersecurityIn preparation
- AI Discovery Index — CRMIn preparation
- AI Discovery Index — HR TechnologyIn preparation
- AI Discovery Index — Marketing AutomationIn preparation