60% of US Consumers Say AI in Brand Messaging Is a Turnoff
Sixty percent of U.S. consumers say that a brand using the word “AI” in its messaging is a turnoff, according to a major new survey from WordPress VIP. At a moment when companies are racing to appear in AI-generated search answers and chatbots, the findings reveal a stark disconnect: the very labels meant to signal innovation are driving audiences away.
Slapping “AI” on your brand messaging is costing you trust. Consumers reward transparency, not buzzwords.
Why It Matters
The way people search and consume content has shifted dramatically. AI-powered search engines, chatbots, and social feed algorithms now mediate how audiences discover brands. Yet as the technology becomes ubiquitous, a wave of skepticism is building. A 2024 Ipsos poll found that 52% of Americans say AI makes them nervous about the future. On social media, users are increasingly calling out brands that use artificial intelligence to generate captions, images, or full campaigns without disclosure.
For social media managers, the implications are immediate. Posting AI-generated content that lacks a human touch can damage the very trust that fuels engagement, shares, and loyalty. The WordPress VIP survey puts hard numbers behind what many creators already sense: authenticity is the new scarcity.
What’s New
WordPress VIP, Automattic’s enterprise-grade WordPress platform, released its AI Trust Consumer Survey 2026 in June. The study polled 2,000 respondents in April 2026, 800 enterprise decision-makers and CMOs and 1,200 U.S. adults, to measure how consumers perceive AI in brand communication and search results.
The survey explored not just attitudes but behavioral signals. It examined what drives trust when AI is involved, how much people rely on original sources, and whether “AI-powered” badges help or hurt a brand’s reputation. The findings form a clear picture: consumers are pushing back hard against AI slathered onto marketing copy, even as executives pour resources into making their content legible to AI answer engines.
The Numbers
Here are the headline figures from the survey, each linked to the original report:
- 60% of U.S. consumers say that brands using “AI” in their messaging are a turnoff (source).
- 86% do not fully trust AI and still want to explore the original sources behind AI-generated summaries (source).
- 42% said AI-generated answers without clear attribution are trusted less than airline fees, confusing privacy policies, or medical bills (source).
- 33% of consumers said clicking through to see an original source is their top trust signal (source).
- 74% of enterprise decision-makers said AI discoverability and attribution are a main or significant priority, yet 60% saw AI referrals increase over the past year (source).
- 80% believe information on the web should remain openly accessible, not controlled by a few large organizations (source).
“People used to build websites for other people. Now you have to build websites for AI agents acting on behalf of those people. If your site’s content isn’t legible to AI, you are invisible to a growing share of how people search. You don’t exist. And if your content doesn’t feel human and trustworthy for the tiny percentage of people who actually click past the AI answer engines, they won’t come back a second time.”
, Brian Alvey, CTO of WordPress VIP
What Comes Next
Brands will need to walk a fine line: optimize for AI discovery without shouting “AI” from the rooftops. The survey suggests a practical path, lean into transparency, attributions, and human-centric storytelling while using AI quietly on the back end.
Expect a wave of companies auditing their social copy, removing “AI-powered” badges from post captions and bio descriptions. Smart social media managers will use AI tools for scheduling, analytics, and idea generation, but the customer-facing voice will remain stubbornly human. In a landscape where 86% of consumers demand original sources, link-in-bio strategies and clear citation of third-party data will become table stakes.
What This Means for You
If you manage social media for a brand, the takeaway is clear: labeling your content as “AI-generated” or “AI-powered” is likely hurting your credibility. Instead:
- Audit your captions. Remove hype words like “AI-infused” or “algorithmically generated” unless they describe a true, verifiable technical capability. Let the quality of the content speak.
- Attribute sources openly. When your social posts build on third-party data or insights, tag the original creator or link to the report. That simple act boosts trust signals with both human readers and AI answer engines.
- Use AI behind the scenes. Tools like Feedsta help you schedule, cross-post, and analyze performance across platforms, without slapping an AI label on your public content. The platform’s AI assists your workflow, not your brand voice.
- Check your AI visibility, quietly. A free BizScoreAI visibility score shows how often AI assistants recommend your business. Knowing where you stand helps you tweak your social presence without resorting to hollow AI claims.
- Refresh existing content for AI answer engines. Our content refresh framework shows when to update social posts versus creating new ones to earn citations from ChatGPT and Google AI Overviews. Pair that with the new Google Search Console AI Search reports to track how your content performs in AI-generated results.
The Bigger Picture
Consumers aren’t rejecting AI, they’re rejecting the blind corporate reflex to wrap everything in a tech buzzword. In an era where anyone can generate slick copy with a prompt, the brands that win will be the ones that feel unmistakably human. For social media professionals, that means leading with story, empathy, and attribution. Let the algorithms handle the scheduling; you handle the soul.