Djarindjin Aboriginal Corporation AI Observatory

LIVE — ROLLING 24-HOUR EVIDENCE

AI Observatory - Who Has Actually Been Here?

This Observatory records qualifying search and AI-related machine retrieval activity observed against the Djarindjin website. The figures below show a filtered evidence view — not every automated request that reached the server.

SEARCH + AI SYSTEMS Qualifying machine systems observed

Distinct autonomous crawler systems whose identities met the public corroboration threshold during this rolling 24-hour period.

BUSINESS CONTENT Successful business-information retrievals

Successful qualifying GET retrievals of known Djarindjin HTML pages and substantive PDF documents.

RETRIEVAL SUCCESS % Business retrieval success rate

The proportion of qualifying business-information retrieval attempts that returned a successful response.

MACHINE DISCOVERY Successful discovery retrievals

Successful retrievals of deliberate machine-facing discovery resources such as robots.txt and recognised sitemap XML files.

The totals above are measured observations, not estimates. The table below shows the individual machine systems that currently satisfy the public evidence threshold.

MACHINES OBSERVED

Which Search & AI Crawlers Produced the Evidence?

Every qualifying autonomous system in the current rolling 24-hour window is shown below. The list changes as real crawler activity enters and leaves the window.

QUALIFYING THIS 24H Observed systems
Machine Role Autonomous
Accesses
Business
Retrievals
Success
Rate
Discovery
Retrievals
Loading current machine evidence…
This is a changing population, not a fixed crawler list.

A system appears when qualifying activity from it is observed inside the rolling 24-hour window and disappears again when that activity falls outside the window.

Not every machine request is allowed into the public evidence.

That is deliberate. A larger number is easy to produce; a defensible number is more useful.

01 Test traffic

Synthetic requests used to test the Observatory are excluded from public evidence.

02 User-requested & diagnostic activity

User-triggered fetchers and diagnostic tools are excluded from the autonomous headline metrics.

03 Uncorroborated identities

A crawler name in a User-Agent is not enough. Off-edge headline evidence requires independent provider-network corroboration.

04 Unknown or support resources

Assets and unclassified URLs do not inflate business-information retrieval figures. Unknown business resources fail closed.

WHAT THIS DOES — AND DOES NOT — PROVE

The Observatory measures observable retrieval. It does not by itself prove that an AI system understood, indexed, stored, cited, recommended or endorsed the retrieved information.

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AI Observatory provided by Sydney Business Web