Index › IT › Products › ACR · November 2026 Edition
Artifact and container registries · Named, not ranked

ACR

–Too few to rank
7/14Models named it
0First choices
4Warnings
November 2026 Edition · all company sizes counted.
Ranked inArtifact and container registries #63 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. ACR has 4.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Self-hosted or cloud registries with poor config (e.g., ... Nexus, Artifactory, Harbor, ACR, GCR, ECR)”Grok 4.20 · Negative question · warning
“work great *inside* their cloud but create friction for multi-cloud”Kimi K2 · Scale-constrained question · warning

Also on the shortlist

The products named in the same answers as ACR, over the 12 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named ACR came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 12 of the 12 answers that named ACR and are not a share of its labels.

Domains cited

docs.docker.com5
learn.microsoft.com5
github.com4
docker.com3
docs.cloud.google.com3
gane.ai/indexpublisher (Gane)3
guptadeepak.com3
ohmyops.dev3
vibereference.com3
cisa.gov2

No domain is on file for ACR, so its own site is not marked. Three were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on ACR across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00101
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00101
Muse Glimmer 30B00000