AI Rankings · real estate agency groups (sales) · Australia
Marshall White, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for real estate agency groups (sales), Marshall White came up in 12 of 180 answers. That puts it #15 of the 63 companies AI named in Australia.
In 11 of those 12 answers AI recommended it. In the other one 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 | #15of 63 | 7% | 92% | 6.6 | 8 of 60 |
 ChatGPT | #11of 43 | 10% | 100% | 7.5 | 6 of 60 |
 Gemini | #16of 50 | 8% | 80% | 5.6 | 5 of 60 |
 Google AI Mode | #29of 44 | 2% | 100% | 6.0 | 1 of 60 |
ChatGPT names Marshall White most often, Google AI Mode least. Ray White 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 | Ray White140 answers ahead of you | 84% | 85% | 83% | 85% |
| 12 | Barry Plant2 answers ahead of you | 8% | 8% | 10% | 5% |
| 13 | Jellis Craig1 answer ahead of you | 7% | 8% | 10% | 3% |
| 14 | Knight Franklevel with you | 7% | 3% | 10% | 7% |
| 15 | Marshall Whiteyou | 7% | 10% | 8% | 2% |
Knight Frank is level with you, Sotheby’s International Realty level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Marshall White when they named it, word for word, from the October 2026 answers.
…Stonnington 74.5%; Northside 88.5% Strong in the right office Marshall White Main REIV entity 67.3% over 321 auctions; Hawthorn 70.4%, Albert Park 80.4% Strong, especially premium/inner south…
Main REIV entity 67.3% over 321 auctions; Hawthorn 70.4%, Albert Park 80.4%
Both hold substantial footprints in premium bayside and inner-south markets (Bayside, Port Phillip, Stonnington), where auction clearance results closely track the health of the high-end luxury sector.
AI states 9 facts about Marshall White
In the October 2026 answers, AI describes your company in 9 statements: 8 about the service and 1 about other things.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 9 in Findrix →What to do with this report
Get named where you are not
Marshall White appeared in 8 of the 60 buyer questions. Findrix runs the other 52 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 9 facts about Marshall White. 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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