Hagonin ChatGPT and AI OverviewsUK market · Q3 2026 snapshot28 keywords · 4.7k/mo

HagonAI visibility in ChatGPT and AI Overviews

Brand report
The searches Hagon competes for i28brand-competitive keywords4.7ksearches/mo
ChatGPT
Names a brand i4.7k/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 i4k/mo
Names a brand i3.9k/mo
ChatGPT
13%of answers mention you i
Sentiment iComing soon
AI Overviews
15%of answers mention you i
Sentiment iComing soon
Ment. i
Sentiment
Mention
Sentiment Coming soon
Sort by
Keyword iVolume / moMentionedMentioned
honda crosstourer vfr1200xview ↗480××
cbr400rrview ↗480×
motorcycle suspensionview ↗320-
ttr250view ↗210××
duke 200view ↗170××
rear shock motorcycleview ↗110×-
motorcycle shockview ↗90×
mk1 bandit 600view ↗90×
duke 250view ↗
honda clr 125view ↗
rd500lcview ↗
rg500view ↗
shock absorber of motorcycleview ↗
st1100view ↗
suzuki gsx 1250 faview ↗
suzuki ts125xview ↗
vfr1200xview ↗
xbr500view ↗
xjr1200view ↗
yzf600r thundercatview ↗
ChatGPT
×
AI Overviews
×
cbr400rr view ↗480 / mo
ChatGPT
×
AI Overviews
motorcycle suspension view ↗320 / mo
ChatGPT
AI Overviews
-
ttr250 view ↗210 / mo
ChatGPT
×
AI Overviews
×
duke 200 view ↗170 / mo
ChatGPT
×
AI Overviews
×
rear shock motorcycle view ↗110 / mo
ChatGPT
×
AI Overviews
-
motorcycle shock view ↗90 / mo
ChatGPT
AI Overviews
×
mk1 bandit 600 view ↗90 / mo
ChatGPT
×
AI Overviews
duke 250 view ↗
ChatGPT
AI Overviews
honda clr 125 view ↗
ChatGPT
AI Overviews
rd500lc view ↗
ChatGPT
AI Overviews
rg500 view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
st1100 view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
suzuki ts125x view ↗
ChatGPT
AI Overviews
vfr1200x view ↗
ChatGPT
AI Overviews
xbr500 view ↗
ChatGPT
AI Overviews
xjr1200 view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews

This report has 28 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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