Wavinin ChatGPT and AI OverviewsUK market · Q3 2026 snapshot122 keywords · 75.8k/mo

WavinAI visibility in ChatGPT and AI Overviews

Brand report
The searches Wavin competes for i122brand-competitive keywords75.8ksearches/mo
ChatGPT
Names a brand i74.4k/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 i40.2k/mo
Names a brand i34.9k/mo
ChatGPT
26%of answers mention you i
Sentiment iComing soon
AI Overviews
37%of answers mention you i
Sentiment iComing soon
Ment. i
Sentiment
Mention
Sentiment Coming soon
Sort by
Keyword iVolume / moMentionedMentioned
gutteringview ↗27.1k×-
clay pipeworkview ↗2.9k××
heat interface unitview ↗880×
drainage plastic pipeview ↗720×-
osma inspection chamberview ↗390
twinwall pipesview ↗390×
fire collars 110mmview ↗210×-
hep 20view ↗110
15mm hep2o pipeview ↗
22mm hep2o pipeview ↗
300mm diameter plastic pipeview ↗
foul waterview ↗
hep2oview ↗
hep2o tap connectorview ↗
pvc pipes near meview ↗
rainwater drainage pipeview ↗
rainwater goodsview ↗
rodding eyeview ↗
silt trap chamberview ↗
silt trapsview ↗
guttering view ↗27.1k / mo
ChatGPT
×
AI Overviews
-
clay pipework view ↗2.9k / mo
ChatGPT
×
AI Overviews
×
heat interface unit view ↗880 / mo
ChatGPT
AI Overviews
×
drainage plastic pipe view ↗720 / mo
ChatGPT
×
AI Overviews
-
osma inspection chamber view ↗390 / mo
ChatGPT
AI Overviews
twinwall pipes view ↗390 / mo
ChatGPT
×
AI Overviews
fire collars 110mm view ↗210 / mo
ChatGPT
×
AI Overviews
-
hep 20 view ↗110 / mo
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
foul water view ↗
ChatGPT
AI Overviews
hep2o view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
rodding eye view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
silt traps view ↗
ChatGPT
AI Overviews

This report has 122 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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