National Firein ChatGPT and AI OverviewsUK market · Q3 2026 snapshot64 keywords · 16.5k/mo

National FireAI visibility in ChatGPT and AI Overviews

Brand report
The searches National Fire competes for i64brand-competitive keywords16.5ksearches/mo
ChatGPT
Names a brand i12.8k/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 i13.9k/mo
Names a brand i12.2k/mo
ChatGPT
36%of answers mention you i
Sentiment iComing soon
AI Overviews
46%of answers mention you i
Sentiment iComing soon
Ment. i
Sentiment
Mention
Sentiment Coming soon
Sort by
Keyword iVolume / moMentionedMentioned
passive fire safetyview ↗1.9k×
fire compartmentview ↗880×
fire door maintenanceview ↗590-
fire door intumescent strip regulationsview ↗390
fire door gapview ↗320××
fire door gap tolerances ukview ↗70×
maximum gaps under fire doorsview ↗70×
fire door frame regulations ukview ↗50×
fire barrier installationview ↗
fire barrier systemsview ↗
fire door complianceview ↗
fire door contractorview ↗
fire door plugview ↗
fire door regulations commercial buildingsview ↗
fire door thresholdview ↗
fires in ukview ↗
passive fire protectionview ↗
retained firefighterview ↗
types of intumescent stripsview ↗
what is a door liningview ↗
passive fire safety view ↗1.9k / mo
ChatGPT
AI Overviews
×
fire compartment view ↗880 / mo
ChatGPT
×
AI Overviews
fire door maintenance view ↗590 / mo
ChatGPT
AI Overviews
-
ChatGPT
AI Overviews
fire door gap view ↗320 / 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
fires in uk view ↗
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews
ChatGPT
AI Overviews

This report has 64 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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