Survey: 60% of US consumers say AI in brand messaging is a turnoff

A 2026 survey of 1,200 U.S. consumers commissioned by WordPress VIP suggests that the technology brands have spent two years advertising is, for many people, a reason to look away. Sixty percent of respondents said that mentioning AI in a brand's messaging is a turnoff rather than a feature, and 61% could not name a single brand they think uses AI well — 16% said no brand is doing it well at all.

Bot fatigue sets in after about 40 minutes

The report, the first chapter of WordPress VIP's Future of the Web 2026 series, puts the average time before "bot fatigue" — the point at which interactions start to feel synthetic — at roughly 40 minutes. Three-quarters of those surveyed (74%) said the internet feels less human than it did ten years ago. The chapter's framing is that audiences can sense when a machine is talking to them, and that the small moments which made the web worth visiting are disappearing.

Nobody has won AI brand visibility yet

The survey found no incumbent in AI brand visibility: consumers could not point to a company they believe is getting it right, and 16% said no brand uses AI well at all. Brian Solis, Head of Global Innovation at ServiceNow, is quoted in the report: "No customer or user wakes up and says, 'I hope I get to talk to a chat bot or an AI agent today.' Human-centered design is truer today with artificial intelligence. Ironically, the answer is using AI to be more human."

How enterprises are measuring it

The report also maps the tools enterprises use to track AI visibility, sorting them into five groups: dedicated AI citation monitoring platforms such as Profound, BrightEdge and brandvisibility.ai; search analytics suites with AI overlays from Similarweb, Semrush and Ahrefs; web analytics with AI referral tracking, including Parse.ly, Plausible and GA4; brand intelligence platforms such as Brandwatch, Talkwalker and Meltwater; and custom dashboards built in-house on LLM APIs. It notes that no single dashboard covers every AI surface, that most platforms need four to six weeks of data before benchmarks mean anything, and that vendors promising "complete coverage" overstate their methodology. Enterprise teams already spend an average of 16.6 hours a week on AI visibility work, and the most common setup pairs a citation monitor with web analytics to see whether AI-referred visitors convert.

The dual-audience argument

The chapter's practical conclusion is that a site now serves two audiences at once: AI systems need structured, citable content, while people need a reason to stay after they arrive. Interactive and dynamic experiences are named as the parts of a website that a flat AI summary cannot reproduce — the argument being that the brand which feels human in the AI era is the one that earns the next decade.