AI Rankings · developer tools and devops platforms · Australia
Jellyfish, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for developer tools and DevOps platforms, Jellyfish came up in 3 of 180 answers. That puts it #69 of the 267 companies AI named in Australia.
Every time it came up, AI recommended it rather than just mentioning it.
- 60 buyer questions
- 180 answers read
- 3 engines
Where you stand
Your totals across all 3 engines first, then the same numbers engine by engine. Rank is your place among the companies that engine named in Australia. Mention rate is the share of that engine’s answers that name you. Recommendation rate is the share of your mentions where you are put forward as a recommendation, not just named. Average position is the place you take in an answer that names you, 1 means first. Questions you appear in is how many of the 60 buyer questions named you at least once.
| Engine | Rank | Mention rate | Recommendation rate | Average position | Questions you appear in |
|---|---|---|---|---|---|
| All 3 engines | #69of 267 | 2% | 100% | 2.3 | 1 of 60 |
 ChatGPT | #64of 146 | 2% | 100% | 1.0 | 1 of 60 |
 Gemini | #74of 156 | 2% | 100% | 4.0 | 1 of 60 |
 Google AI Mode | #67of 147 | 2% | 100% | 2.0 | 1 of 60 |
GitLab leads on ChatGPT and Gemini. GitHub leads on Google AI Mode.
Named instead of you
The leader, the three named right above you, and you. Share of answers that name each one, overall and on each engine.
| Rank | company | Mention rate | ChatGPT | Gemini | Google AI Mode |
|---|---|---|---|---|---|
| 1 | GitLab90 answers ahead of you | 52% | 48% | 55% | 52% |
| 66 | Gatling Enterpriselevel with you | 2% | 2% | 2% | 2% |
| 67 | Gitealevel with you | 2% | 2% | 3% | |
| 68 | GrowthBooklevel with you | 2% | 2% | 2% | 2% |
| 69 | Jellyfishyou | 2% | 2% | 2% | 2% |
GrowthBook is level with you, k6 level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Jellyfish when they named it, word for word, from the October 2026 answers.
…Best options Tool What an engineering manager gets Best fit Jellyfish Deployment frequency, issue cycle time, engineering allocation, planning accuracy, plus benchmarks Best overall management…
Deployment frequency, issue cycle time, engineering allocation, planning accuracy, plus benchmarks
Maps engineering operational data (how fast code ships) to strategic business allocations and investments, providing clear portfolio-level metrics for leadership.
AI states 4 facts about Jellyfish
In the October 2026 answers, AI describes your company in 4 statements: 4 about the service.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 4 in Findrix →What to do with this report
Get named where you are not
Jellyfish appeared in 1 of the 60 buyer questions. Findrix runs the other 59 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 4 facts about Jellyfish. Findrix puts each one next to your own facts and writes the correction email for you to send.
Watch it move
In your inbox: a report after every scan and a monthly PDF for your team. An email when a fix worked or a rival overtakes you, and right away if your site blocks AI bots or goes down.
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