AI Rankings · low-code and no-code application development platforms · Australia
Make, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for low-code and no-code application development platforms, Make came up in 23 of 180 answers. That puts it #12 of the 150 companies AI named in Australia.
In 19 of those 23 answers AI recommended it. In the other 4 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 | #12of 150 | 13% | 83% | 6.3 | 12 of 60 |
 ChatGPT | #15of 97 | 8% | 80% | 6.6 | 5 of 60 |
 Gemini | #11of 82 | 17% | 80% | 6.9 | 10 of 60 |
 Google AI Mode | #11of 64 | 13% | 88% | 5.5 | 8 of 60 |
Gemini names Make most often, ChatGPT least. Microsoft Power Apps 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 | Microsoft Power Apps63 answers ahead of you | 48% | 47% | 48% | 48% |
| 9 | AppSheet19 answers ahead of you | 23% | 28% | 20% | 22% |
| 10 | FlutterFlow6 answers ahead of you | 16% | 13% | 23% | 12% |
| 11 | Zoho Creator2 answers ahead of you | 14% | 17% | 13% | 12% |
| 12 | Makeyou | 13% | 8% | 17% | 13% |
Zoho Creator is 2 answers ahead of you, Power Automate level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Make when they named it, word for word, from the October 2026 answers.
If you’re not a Microsoft-heavy shop, Make is probably the better all-round choice
Best for simple, cross-app glue work.
Make is often favored by operations managers over Zapier for complex processes because its visual canvas handles multi-step logic, branching paths (e.g., if Australian client, route to Sydney team; if international, route elsewhere), and error-handling much more smoothly and cost-effectively.
AI states 16 facts about Make
In the October 2026 answers, AI describes your company in 16 statements: 14 about the service, 1 about prices and 1 about history.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 16 in Findrix →What to do with this report
Get named where you are not
Make appeared in 12 of the 60 buyer questions. Findrix runs the other 48 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 16 facts about Make. 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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