AI Rankings · developer tools and devops platforms · Australia
Kubecost, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for developer tools and DevOps platforms, Kubecost came up in 5 of 180 answers. That puts it #33 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 | #33of 267 | 3% | 100% | 6.0 | 3 of 60 |
 ChatGPT | #45of 146 | 2% | 100% | 18.0 | 1 of 60 |
 Gemini | #32of 156 | 3% | 100% | 2.0 | 2 of 60 |
 Google AI Mode | #29of 147 | 3% | 100% | 4.0 | 2 of 60 |
Gemini names Kubecost most often, ChatGPT least. 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 | GitLab88 answers ahead of you | 52% | 48% | 55% | 52% |
| 30 | Cloudflare Workers1 answer ahead of you | 3% | 2% | 5% | 3% |
| 31 | Bitriselevel with you | 3% | 3% | 2% | 3% |
| 32 | Gremlinlevel with you | 3% | 2% | 3% | 3% |
| 33 | Kubecostyou | 3% | 2% | 3% | 3% |
Gremlin is level with you, LaunchDarkly level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Kubecost when they named it, word for word, from the October 2026 answers.
Top software categories and tools that achieve this balance include: Container Orchestration & FinOps (Kubernetes + Kubecost / Datadog): Running microservices on Kubernetes lets you pack workloads …
Software like Kubecost or Datadog Cloud Cost Management integrates into your development pipeline to map exact container costs back to specific features, teams, or traffic bursts.
Provides real-time cost allocation and visibility broken down by deployment, service, or team, helping engineering teams see exactly which features are driving up infrastructure costs.
AI states 5 facts about Kubecost
In the October 2026 answers, AI describes your company in 5 statements: 5 about the service.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 5 in Findrix →What to do with this report
Get named where you are not
Kubecost appeared in 3 of the 60 buyer questions. Findrix runs the other 57 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 5 facts about Kubecost. 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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