AI Rankings · carbon accounting and esg reporting software · Australia
Avarni, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for carbon accounting and ESG reporting software, Avarni came up in 55 of 180 answers. That puts it #4 of the 125 companies AI named in Australia.
In 53 of those 55 answers AI recommended it. In the other 2 it only mentioned 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 | #4of 125 | 31% | 96% | 3.0 | 35 of 60 |
 ChatGPT | #4of 92 | 32% | 95% | 3.0 | 19 of 60 |
 Gemini | #4of 57 | 40% | 96% | 3.3 | 24 of 60 |
 Google AI Mode | #5of 58 | 20% | 100% | 2.4 | 12 of 60 |
Gemini names Avarni most often, Google AI Mode least. Carbonly.ai leads on ChatGPT. Climate Zero leads on Gemini. Greener 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 | Climate Zero10 answers ahead of you | 36% | 33% | 50% | 25% |
| 2 | Trace4 answers ahead of you | 33% | 12% | 47% | 40% |
| 3 | Greener2 answers ahead of you | 32% | 33% | 20% | 42% |
| 4 | Avarniyou | 31% | 32% | 40% | 20% |
Greener is 2 answers ahead of you, NetNada 5 behind.
See, question by question, who took the spot →In AI’s own words
How the engines described Avarni when they named it, word for word, from the October 2026 answers.
My shortlist Platform Purchase-record / spend-based Scope 3 Construction fit Supplier data Australian reporting My take Avarni Excellent Good Excellent Excellent Best for a large supplier base…
It explicitly supports Scope 3 Category 1 Purchased Goods and Services using spend-based methodology, and its supplier questionnaires can collect quantities, volumes or spend and convert those to emissions.
It also has a factor library covering Australian sources and supports spend-based factors such as kg CO₂e per AUD.
AI states 100 facts about Avarni
In the October 2026 answers, AI describes your company in 100 statements: 77 about the service, 10 about other things, 6 about address, 3 about history, 2 about ownership, 1 about prices and 1 about hours.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 100 in Findrix →What to do with this report
Get named where you are not
Avarni appeared in 35 of the 60 buyer questions. Findrix runs the other 25 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 100 facts about Avarni. 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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