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FQ AI Summit 2026

Record Where and How You Ask AI Services About Your Brand

My notes from attending the FQ AI Summit in New York, November 10, 2026.

Recommendations and Shopping Experiences

What can a brand learn by asking AI services about its products?

A spot check of what AI services say about your brand can reveal a problem. It can't tell you what every customer sees across services and requests, so keep the scope of the result visible.

Brands in AI driven discovery came up at the anticipatory panel. Work from a defined set of customer questions, and keep the exact question and the relevant response according to your research policy.

Compare material claims with the brand's current authoritative information. If a response is wrong, look into whether the public source material is unclear or contradictory before you assume you can directly control the service's answer.

A handful of outputs isn't a visibility score

I'd skip calling a handful of outputs a universal visibility score unless the methodology supports it. A claim that the brand now controls every AI representation of itself needs evidence a small spot check can't give. Put the effort into the information you maintain: clear product pages, consistent facts and answers to real questions.

What to try this week

Run your defined set of customer questions and record where, when and under what conditions you checked each one, along with the exact question and response.