NILCin ChatGPT and AI OverviewsUK market · Q3 2026 snapshot87 keywords · 16.1k/mo

NILCAI visibility in ChatGPT and AI Overviews

Brand report
The searches NILC competes for i87brand-competitive keywords16.1ksearches/mo
ChatGPT
Names a brand i15.1k/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 i14.9k/mo
Names a brand i14.1k/mo
ChatGPT
2%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
what does a scrum master doview ↗320××
sage training courseview ↗320×
excel courses intermediateview ↗260×
pla fundingview ↗210×
scrum master vs project managerview ↗110××
vba courseview ↗110×
advanced sql courseview ↗70×
scrum master training ukview ↗50××
agile project manager courseview ↗
microsoft access trainingview ↗
microsoft project training courseview ↗
ms project trainingview ↗
msp in project managementview ↗
personal learning accountview ↗
personal learning account walesview ↗
pl 300 certificationview ↗
power bi data analystview ↗
prince2 process modelview ↗
prince2 processesview ↗
react fundingview ↗
ChatGPT
×
AI Overviews
×
sage training course view ↗320 / mo
ChatGPT
×
AI Overviews
ChatGPT
×
AI Overviews
pla funding view ↗210 / mo
ChatGPT
AI Overviews
×
ChatGPT
×
AI Overviews
×
vba course view ↗110 / mo
ChatGPT
AI Overviews
×
advanced sql course view ↗70 / mo
ChatGPT
AI Overviews
×
scrum master training uk view ↗50 / mo
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
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
react funding view ↗
ChatGPT
AI Overviews

This report has 87 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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