Is AI recommending BigQuery ML? Is this your brand? Claim it

How often ChatGPT mentions BigQuery ML for predictive analytics software, and how it stacks up against the tools that dominate the answers.

45%

of AI answers mention BigQuery ML

#7.8

avg rank when mentioned

1/1

questions it appears in

mentions tracked

The takeaway: BigQuery ML is named in only 45% of relevant answers (rank #7.8 when it does appear). The visibility gap is the opportunity.

How BigQuery ML compares

Share of ChatGPT answers naming each tool, same 1 questions.

#	Tool
1	Alteryx	100%
2	Dataiku	100%
3	SAS Viya	100%
4	DataRobot	91%
5	Azure Machine Learning	73%
6	KNIME	73%
7	Alteryx One	73%
8	IBM SPSS Modeler	64%
9	Tableau	64%
10	BigQuery ML ← this tool	45%
11	Microsoft Azure Machine Learning	45%
12	Google BigQuery	45%

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ChatGPT

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Perplexity

Google AI

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BigQuery ML across every AI engineGemini · Perplexity · Google AI · Copilot

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Where BigQuery ML shows up

The questions where ChatGPT currently names BigQuery ML.

Best predictive analytics software

A sample answer mentioning BigQuery ML

Prompt: Best predictive analytics software · ChatGPT · 2026-09-02

If you mean business/enterprise predictive analytics software, these are the strongest options in 2026:

Software	Best for	Ease of use	Predictive/ML depth
SAS Viya	Enterprise forecasting, risk, regulated industries	⭐⭐⭐	⭐⭐⭐⭐⭐
Dataiku	Collaborative data science + ML	⭐⭐⭐⭐	⭐⭐⭐⭐⭐
Alteryx One	Low-code predictive analytics	⭐⭐⭐⭐⭐	⭐⭐⭐⭐
DataRobot	AutoML and rapid model deployment	⭐⭐⭐⭐	⭐⭐⭐⭐⭐
IBM SPSS Modeler	Traditional statistical modeling	⭐⭐⭐⭐	⭐⭐⭐⭐
Microsoft Azure Machine Learning	Enterprise ML/MLOps	⭐⭐⭐	⭐⭐⭐⭐⭐
Google BigQuery ML	Predictive modeling directly on cloud data	⭐⭐⭐⭐	⭐⭐⭐⭐
KNIME	Flexible, low-cost/open-source analytics	⭐⭐⭐⭐	⭐⭐⭐⭐
Tableau	Predictive insights + visualization	⭐⭐⭐⭐⭐	⭐⭐⭐
SAP Analytics Cloud	Forecasting/planning for SAP environments	⭐⭐⭐⭐	⭐⭐⭐⭐

Current industry comparisons put SAS Viya among the leading choices for advanced statistical modeling and forecasting, while Dataiku is particularly strong for collaborative ML workflows. Alteryx stands out for low-code data preparation and repeatable analytics workflows. G2 G2 Learn

My picks

🏆 Best overall enterprise: Dataiku — excellent balance of data preparation, predictive modeling, collaboration, deployment, and governance.
📈 Best for sophisticated forecasting/statistics: SAS Viya — especially strong for complex forecasting, risk, and regulated environments. G2 Learn
👨‍💼 Best for business analysts: Alteryx One — very good if you want analysts building predictive workflows without extensive coding. G2
🤖 Best AutoML: DataRobot — good when the priority is getting predictive models built and deployed quickly. Zapier
💰 Best open-source option: KNIME — its Analytics Platform is free/open source, with extensive connectors and ML integrations. Gartner
☁️ Best if you're already on Google Cloud: BigQuery ML — lets teams build predictive models close to their cloud data. G2 Learn
📊 Best for BI + predictive visualization: Tableau — particularly strong when prediction needs to be integrated into dashboards and business reporting. G2

If you tell me your use case (e.g. sales forecasting, demand forecasting, customer churn, fraud, financial forecasting, workforce/HR, or healthcare) and company size/budget, I can narrow this to the top 3 and compare pricing, features, implementation difficulty, and ROI.