AI Rankings · data analytics and ai consultancies · Australia
Customer Science, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for data analytics and AI consultancies, Customer Science came up in 4 of 180 answers. That puts it #32 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 | #32of 365 | 2% | 100% | 2.8 | 2 of 60 |
 ChatGPT | #49of 213 | 2% | 100% | 5.0 | 1 of 60 |
 Gemini | #42of 149 | 2% | 100% | 2.0 | 1 of 60 |
 Google AI Mode | #29of 120 | 3% | 100% | 2.0 | 2 of 60 |
Google AI Mode names Customer Science most often, Gemini least. 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 | Deloitte31 answers ahead of you | 19% | 13% | 17% | 28% |
| 29 | C9level with you | 2% | 7% | ||
| 30 | Cognizantlevel with you | 2% | 2% | 5% | |
| 31 | Custom LLMlevel with you | 2% | 5% | 2% | |
| 32 | Customer Scienceyou | 2% | 2% | 2% | 3% |
Custom LLM is level with you, Data Agility level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Customer Science when they named it, word for word, from the October 2026 answers.
…explicitly discusses secure/compliant customer-data foundations. [5] Customer Science Smaller, analytics-led engagements Worth considering for a more specialist Australian…
Known for operationalizing privacy and AI compliance, they assist organizations with Privacy Impact Assessments (PIAs), data minimization workflows, and masking/tokenizing sensitive customer data before it hits platforms or third-party tools.
Provides Customer Science AI for Churn Prediction, focusing on supervised machine learning models that capture weak behavioural signals, usage frequency, and engagement patterns to forecast and mitigate subscription drop-off before cancellation.
AI states 4 facts about Customer Science
In the October 2026 answers, AI describes your company in 4 statements: 3 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 4 in Findrix →What to do with this report
Get named where you are not
Customer Science appeared in 2 of the 60 buyer questions. Findrix runs the other 58 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 Customer Science. 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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