AI Rankings · data analytics and ai consultancies · Australia
Forecast, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for data analytics and AI consultancies, Forecast came up in 1 of 180 answers. That puts it #226 of the 365 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 | #226of 365 | 1% | 100% | 1.0 | 1 of 60 |
 ChatGPT | #134of 213 | 2% | 100% | 1.0 | 1 of 60 |
 Gemini | 0 of 60 | ||||
 Google AI Mode | 0 of 60 |
Deloitte leads on all 3 engines.
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 | Deloitte34 answers ahead of you | 19% | 13% | 17% | 28% |
| 223 | First Milllevel with you | 1% | 2% | ||
| 224 | Flipside AIlevel with you | 1% | 2% | ||
| 225 | Food For Analyticslevel with you | 1% | 2% | ||
| 226 | Forecastyou | 1% | 2% |
Food For Analytics is level with you, Foresight Analytics level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Forecast when they named it, word for word, from the October 2026 answers.
For a fast-growing manufacturer, I’d prioritise firms that can connect forecasting models to procurement, inventory, ERP data, and production planning —not just build a generic ML model
They have an Australian manufacturing case involving 25,000+ SKU/customer/site combinations, with daily, weekly and monthly forecasting horizons and a Python-based ML model.
They also have a presence in Perth, as well as Sydney and Melbourne.
AI states 2 facts about Forecast
In the October 2026 answers, AI describes your company in 2 statements: 1 about the service and 1 about address.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 2 in Findrix →What to do with this report
Get named where you are not
Forecast 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 2 facts about Forecast. 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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