H2Oin ChatGPT and AI OverviewsUK market · Q3 2026 snapshot32 keywords · 29k/mo

H2OAI visibility in ChatGPT and AI Overviews

Brand report
The searches H2O competes for i32brand-competitive keywords29ksearches/mo
ChatGPT
Names a brand i19.3k/mo
ChatGPT answers every search. The only question is whether a brand gets named, and across the brand-competitive set it usually is.
AI Overviews
AIO appears i16.3k/mo
Names a brand i15.7k/mo
ChatGPT
6%of answers mention you i
Sentiment iComing soon
AI Overviews
5%of answers mention you i
Sentiment iComing soon
Ment. i
Sentiment
Mention
Sentiment Coming soon
Sort by
Keyword iVolume / moMentionedMentioned
ai on cloudview ↗12.1k×-
artifactview ↗8.1k×
bert and mary poppinsview ↗1.6k××
automl toolsview ↗720
generalised linear modelview ↗590
automlview ↗390×
model fittingview ↗70××
predictive maintenance aiview ↗50×
ai predictionview ↗
architecture of neural networkview ↗
autoencoderview ↗
bert and ernie memeview ↗
binary classificationview ↗
gradient boostview ↗
machine learning algorithmsview ↗
naive bayes algorithmview ↗
network architecturesview ↗
risk governance frameworkview ↗
what is time seriesview ↗
xgboost modelview ↗
ai on cloud view ↗12.1k / mo
ChatGPT
×
AI Overviews
-
artifact view ↗8.1k / mo
ChatGPT
AI Overviews
×
bert and mary poppins view ↗1.6k / mo
ChatGPT
×
AI Overviews
×
automl tools view ↗720 / mo
ChatGPT
AI Overviews
generalised linear model view ↗590 / mo
ChatGPT
AI Overviews
automl view ↗390 / mo
ChatGPT
AI Overviews
×
model fitting view ↗70 / mo
ChatGPT
×
AI Overviews
×
ChatGPT
×
AI Overviews
ai prediction view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
autoencoder view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
xgboost model view ↗
ChatGPT
AI Overviews

This report has 32 keywords

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Every keyword above was asked as one real question through ChatGPT and AI Overviews, with our improved AI asking. We read who gets named, then weight it by real Google demand. How it works

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