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AI Rankings · ai and machine learning platforms · Australia

Sparrow XPL, according to AI (October 2026)

sparrowxpl.com.au

When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for AI and machine learning platforms, Sparrow XPL came up in 1 of 180 answers. That puts it #287 of the 315 companies AI named in Australia.

In those answers AI mentioned it in passing and did not recommend 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.

EngineRankMention rateRecommendation rateAverage positionQuestions you appear in
All 3 engines#287of 3151%0%2.01 of 60
ChatGPT#161of 1692%0%2.01 of 60
Gemini0 of 60
Google AI Mode0 of 60

Microsoft Azure 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.

RankcompanyMention rateChatGPTGeminiGoogle AI Mode
1Microsoft Azure61 answers ahead of you36%32%38%33%
284Slalomlevel with you1%2%
285Slimstocklevel with you1%2%
286Smarterapps AIlevel with you1%2%
287Sparrow XPLyou1%2%

Smarterapps AI is level with you, Spruik Digital level with you.

See, question by question, who took the spot →

In AI’s own words

How the engines described Sparrow XPL when they named it, word for word, from the October 2026 answers.

…feature specifically for ML model drift/retraining triggers. [1] Sparrow XPL / TwinShip — combines freight pricing, historical rate-card versioning, simulations and AI analytics

ChatGPT

Sparrow XPL / TwinShip — combines freight pricing, historical rate-card versioning, simulations and AI analytics.

ChatGPT

Again, useful infrastructure for this problem, but not explicitly marketed as automated model-drift detection.

ChatGPT

AI states 2 facts about Sparrow XPL

In the October 2026 answers, AI describes your company in 2 statements: 2 about the service.

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

  1. Get named where you are not

    Sparrow XPL 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.

  2. Fix what AI gets wrong

    AI states 2 facts about Sparrow XPL. Findrix puts each one next to your own facts and writes the correction email for you to send.

  3. 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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