Index › IT › Products › Atlassian Rovo · November 2026 Edition
2 categories · Named, not ranked

Atlassian Rovo

atlassian.com ↗

–Too few to rank
6/14Models named it
0First choices
2Warnings
November 2026 Edition · all company sizes counted.
Ranked inEnterprise AI assistants #145 mid-marketAI IT support agents #35
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Atlassian Rovo has 5.

Why models recommend it

“Already on Jira Service Management? Start with Atlassian Rovo / the virtual service agent”GPT-6 Luna · Direct question · alternative
“A natural fit for Jira-heavy environments”GPT-6 Luna · Comparative question · alternative

What gives them pause

“treat Rovo as high-risk until your team verifies these injection vectors are mitigated”Kimi K2 · Negative question · warning
“Atlassian Rovo until its prompt‑injection vulnerabilities are patched”GLM 4.7 FlashX · Negative question · warning

Also on the shortlist

The products named in the same answers as Atlassian Rovo, over the 8 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.

At a glance

Stated on Atlassian Rovo's own site, not checked by Gane.

Visit atlassian.com ↗

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 Atlassian Rovo 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 8 of the 8 answers that named Atlassian Rovo and are not a share of its labels.

By model

How each model answered on Atlassian Rovo 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 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200011
GLM 4.7 FlashX00011
MiniMax M2.500000
GPT-6 Luna02002
Muse Glimmer 30B00000