ModelThinkersin ChatGPT and AI OverviewsUK market · Q3 2026 snapshot50 keywords · 103.7k/mo

ModelThinkersAI visibility in ChatGPT and AI Overviews

Brand report
The searches ModelThinkers competes for i50brand-competitive keywords103.7ksearches/mo
ChatGPT
Names a brand i37.8k/mo
ChatGPT answers every search. The only question is whether a brand gets named, and across the brand-competitive set it often is.
AI Overviews
AIO appears i103.5k/mo
Names a brand i69.8k/mo
ChatGPT
0%of answers mention you i
Sentiment iComing soon
AI Overviews
2%of answers mention you i
Sentiment iComing soon
Ment. i
Sentiment
Mention
Sentiment Coming soon
Sort by
Keyword iVolume / moMentionedMentioned
occam razorview ↗33.1k×
ikigaiview ↗22.2k
fast thinking slow thinking bookview ↗8.1k-
hanlon's razorview ↗4.4k××
non violent communication nvcview ↗2.9k××
overton window meaningview ↗1.9k××
trust equationview ↗1.3k×
habit loopview ↗210×
conquer and divideview ↗
cynefin frameworkview ↗
decision treesview ↗
divide and conquer meaningview ↗
ge matrixview ↗
impact versus effort matrixview ↗
leitner systemview ↗
occam's razor exampleview ↗
ooda loopsview ↗
the behaviour change wheelview ↗
thinking fast and slowview ↗
value propositionview ↗
occam razor view ↗33.1k / mo
ChatGPT
AI Overviews
×
ikigai view ↗22.2k / mo
ChatGPT
AI Overviews
ChatGPT
AI Overviews
-
hanlon's razor view ↗4.4k / mo
ChatGPT
×
AI Overviews
×
ChatGPT
×
AI Overviews
×
overton window meaning view ↗1.9k / mo
ChatGPT
×
AI Overviews
×
trust equation view ↗1.3k / mo
ChatGPT
×
AI Overviews
habit loop view ↗210 / mo
ChatGPT
×
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ge matrix view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ooda loops view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews

This report has 50 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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