# AI search adoption rises as consumer trust declines: Study > Source: > Published: 2026-06-17 14:00:00+00:00 [SEO](https://searchengineland.com/library/seo) » # AI search adoption rises as consumer trust declines: Study ## Survey data from 1,008 consumers and 150 marketers reveals how AI is reshaping search visibility, brand trust, GEO, and content strategy. A year ago, 82% of consumers said AI-powered search was more helpful than traditional search. By 2026, that number had dropped to 54%, a 28-point decline in sentiment over 12 months. Consumers aren’t giving up on AI search, though. Seventy percent say they’re using AI tools for search more than they did last year. How should search marketers adapt their [GEO](https://searchengineland.com/what-is-generative-engine-optimization-geo-444418) strategies? Where are we going wrong as we bring AI deeper into our workflows? To find out, Fractl partnered with Search Engine Land to expand our [2025 research](https://searchengineland.com/how-ai-is-reshaping-seo-challenges-opportunities-and-brand-strategies-for-2025-456926), surveying 1,008 U.S. consumers and 150 marketers to compare how consumer trust, marketer adoption, and brand strategy are evolving in the age of AI. *(**Disclosure**: I’m the co-founder of Fractl.)* Here’s what the data means for your 2026 search strategy. ## Consumers are using AI more and trusting it less ### 1. Usage is saturated. The growth story is over. Seventy percent of consumers report increased use of AI tools for search over the past year. Just 3% say it’s decreased. Surprisingly, baby boomers now find AI more helpful than Gen Z, 63% to 47%. That challenges the assumption that younger users automatically love AI and older generations are lagging behind. In reality, early adopters are signaling that while usage may be rising, trust still has to be earned. That matters because the remaining competitive battle isn’t about adoption. It’s about trust, quality, and which brands consumers find credible when AI surfaces answers. ### 2. The trust erosion is faster than anyone projected. In 2025, the AI skeptic camp (consumers who found AI less helpful than traditional search) represented just 3% of respondents. In 2026, that segment grew to 17%, nearly six times larger than the year before. The 54% who still find AI helpful are mostly hedging: 37% say it’s “somewhat more helpful,” compared with 17% who say it’s “much more helpful.” Enthusiasm has declined rapidly as hallucinations have become a more widely recognized challenge. ### 3. AI content volume is now a brand trust liability In 2025, 20% of consumers said heavy AI use would reduce their trust in a brand. In 2026, that number rose to 39%. For search marketers, the implication is significant. Scaling content output with AI is no longer a neutral operational decision. Consumers are paying attention, and a substantial portion of your audience has an opinion about it. Publishing without disclosure, or publishing at scale without clear quality signals, is now a reputational variable. [ Be the brand AI recommends. See your AI visibility ](https://www.semrush.com/ai-seo/overview?utm_campaign=ic_sel_0101ai&utm_source=searchengineland.com&utm_medium=overlay&onboarding=off) See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends. ### 4. Gen Z sets the strictest standards Fifty-four percent of Gen Z consumers say heavy AI use in a brand’s marketing would decrease their trust, compared with 32% of baby boomers and 33% of Gen X. Women are also more likely than men to penalize brands for heavy AI use (44% vs. 34%). The audience most likely to engage deeply with your brand online, share your content, and drive long-term organic visibility is also the audience with the lowest tolerance for AI-generated filler. Quality isn’t optional if Gen Z matters to your brand. ### 5. Disclosure is no longer a nice-to-have. It’s a near-universal consumer expectation. Across every content format, more than 80% of consumers want AI-generated content labeled. Video leads at 91%, followed by images at 90%, audio at 87%, and written content at 84%. The percentage of respondents who strongly agree exceeds 50% in every category. This isn’t a soft preference. It’s close to a mandate, and as we’ll cover in Part 2, most brands are nowhere near meeting it. ### 6. Consumers believe AI will dominate search. They just don’t love what it currently delivers. Sixty-four percent of consumers agree AI will replace traditional search engines within five years, essentially unchanged from 66% in 2025. The belief that AI will eventually dominate search remains intact, even as satisfaction scores decline. What this tells search marketers is that the channel isn’t going away. But being present in AI results and being trusted in AI results are increasingly separate challenges. Optimize for both. ## Google still leads on trust, but the map is getting more complex ### 7. For purchase-intent queries, Google leads AI roughly 3-to-1 When consumers are making purchase decisions, 39% turn to Google first. Reddit comes in second at 15%, just ahead of AI tools at 14%. Review sites and friends and family each come in at 11%. The trust consumers have built in Google hasn’t automatically extended to AI. ### 8. Platform preference varies by query type. Optimize accordingly. Google dominates five of six major search categories. For local businesses (74%), product research (58%), travel planning (57%), and health questions (55%), it’s the default first stop. However, YouTube overtakes Google for how-to content at 50%. ChatGPT has become the second-most-used destination for health questions at 26%. It also ranks second or third for product research (19%), travel planning (18%), and how-to content (17%). There’s no single AI search platform to optimize for. Each query category has its own preferred platform. Map your content strategy to where your audience actually goes for each topic. ### 9. Consumers use 2.4 platforms before making a purchase decision Before making a purchase decision, the average consumer checks 2.4 platforms, and that behavior is consistent across generations: Gen Z checks 2.5, millennials 2.4, Gen X 2.3, and baby boomers 2.2. Google remains the default authority for product recommendations, while Reddit and AI tools reinforce confidence. In 2026, search optimization is no longer limited to page rankings. It’s built around cohesive content strategies that strengthen your entity authority while helping people learn, engage, and convert across multiple platforms. A brand that appears in Google results but nowhere else loses to a brand that appears in Google, shows up in Reddit discussions, gets cited by ChatGPT, and has review content on third-party sites. ## How AI is changing marketing operations (and where the gaps are) ### 10. AI integration in marketing teams has crossed the majority threshold AI now touches 53% of marketing work on average, up from 38% in 2025. The equivalent of one full workday per week has shifted to AI-assisted workflows in 12 months. Fifty-nine percent of marketers say AI is involved in at least half their work, while 27% say it’s involved in three-quarters or more. For SEO and content teams, this means your competitors are producing at a higher velocity. Volume advantages are increasingly commoditized. Accuracy, original insight, and brand credibility aren’t. ### 11. SEO and analytics teams are under the highest AI adoption pressure We’re in an operational pressure cooker: 55% of marketing roles report a 7:10 level of pressure to adopt AI. SEO and analytics roles feel the greatest pressure, but PR sits at 5.8. As AI commoditizes generic content, the advantage shifts to what AI can’t automate: human judgment, relationships, and trust. ### 12. We’re buying production speed at the cost of quality Only 26% say AI made their work faster and better. Nearly half admit it made their work faster, but more generic. Seven percent report an outright decline in quality. This is where your competitive advantage lives. If your peers are scaling AI slop while your team invests in original data, expert quotes, and earned brand mentions, you’re building assets that make your brand more visible, credible, and retrievable across search engines, social platforms, and LLMs. How you apply AI to your workflows will separate the brands that scale entity authority and brand visibility from those that scale slop and fade into a sea of sameness. ### 13. Nearly half of AI-generated content doesn’t go through governance processes About three in four organizations conduct human editorial review before publishing AI-generated content. Sixty-two percent check for brand voice, 54% check facts, and 42% conduct a legal or compliance review. Only 27% evaluate content for bias. Nearly half of AI-generated content is entering the market without fact-checking, legal review, or plagiarism checks. Instead, most marketers are focusing on subjective, surface-level editorial review: Does it sound right? Is the tone appropriate? Are there typos? In a year when consumers are already primed to distrust AI slop, your brand’s AI governance process is one of the cheapest gaps to close and one of the most expensive to ignore. Heavy, generic AI use is now a brand-trust liability. Yet only 20% of organizations always disclose AI use to their audiences. Compare that with the 84% average consumer demand for labeling, and the compliance gap is significant. For search marketers producing content at scale with AI, this is an emerging trust and brand risk, not just an ethical concern. The takeaway isn’t to abandon AI. It’s to stop treating governance as optional. Every AI workflow needs clear checks for accuracy, transparency, and human review before content reaches your audience. ### 14. AI hallucinations about your brand are already a PR problem, and most teams don’t have a process to catch them A year ago, only about 22% of marketers tracked LLM visibility. In 2026, that figure barely moved, reaching 24%. Meanwhile, 27% of brands have already been misrepresented in AI-generated responses, and 14% say an AI inaccuracy has affected a customer relationship, sale, or PR situation. More brands have been misrepresented by AI than have a formal monitoring process. That should concern people. If AI is summarizing your category, comparing your product, or explaining your brand incorrectly, that’s not just an SEO issue. It’s a reputation risk, a revenue risk, and a PR issue waiting to become a headline. When AI misrepresents your brand, fixing the source matters more than disputing the output. Reach out to the publisher for an update, update owned profiles, and publish a correction page tied to your brand. ## Where visibility is being won and lost ### 15. Organic traffic is under pressure, not in freefall So yes, 50% of the marketers we surveyed reported organic traffic declines since the launch of AI Overviews, and 61% blame AI. This is a prime example of traffic diversification. The real shift isn’t from Google to ChatGPT. It’s from search as a destination to search as a behavior. People are asking, comparing, validating, and deciding across multiple platforms and communities. The same marketers reporting organic losses are often finding new ground elsewhere: - 57% report visibility growth from social platforms (TikTok, Reddit, and YouTube). - 40% see growth from AI assistants (ChatGPT, Gemini, and Perplexity), early evidence that GEO investment is generating returns. - 31% see growth in direct or branded traffic. - Only 10% report no visibility growth anywhere. Your 2026 brand visibility strategy now depends on how effectively you build brand mentions and entity authority across platforms, not just on individual page rankings in Google. ### 16. Most teams are doubling down on the easiest tactics Which strategies are marketers prioritizing to hedge against AI’s impact? The good news is that teams are moving toward the right categories: community building, earned authority, owned audiences, expert content, and traffic diversification. The most prioritized strategies for maintaining visibility in the AI era include building brand presence on social platforms (59%), GEO/AEO optimization (54%), and creating authoritative expert content (44%). The least prioritized strategy is investing in original research and data, at 15%. That’s a strategic inversion. Original, proprietary research is one of the hardest content assets for AI to replicate, synthesize, or commoditize. It generates citations, earns links, and builds topical authority in ways that FAQ pages and generic thought leadership can’t. Teams investing here are building durable moats. Others are investing in areas where AI makes competition easier. ### 17. In GEO, the popular tactic is also the least defensible When we drilled into the specific GEO tactics marketers were using, most were content-led and easily replicated by AI systems. Long-tail FAQs matter for AI Overviews, but they’re easy to replicate. Schema helps, but it doesn’t build credibility. Entity authority creates the strongest moat: proprietary data, expert perspectives, topical authority, and third-party validation. These brands create the source material that journalists, communities, search engines, and AI systems rely on. ### 18. GEO measurement is lagging execution by a wide margin It’s no surprise that only a little more than half of marketers are confident in their GEO strategy, and only 12% have measurable results. While that’s normal for a new channel, GEO is becoming a serious function. Visibility tracking, citation monitoring, and branded search lift need more attention. Building measurement infrastructure for AI search visibility is a competitive advantage. Teams that can prove GEO ROI can defend and grow investment. ### 19. The main obstacle to AI adoption isn’t budget or buy-in. It’s skills. The top barrier to deeper AI integration in marketing is team training and skill gaps (26%). Tool fragmentation comes second at 20%, followed by budget constraints (19%), unclear ROI (12%), and legal and compliance concerns (12%). Leadership buy-in stands at just 2%, indicating that executive support is largely in place. The gap is execution capability. For search marketing teams specifically, investing in AI literacy, prompt strategy, content quality control, and GEO measurement skills is more valuable right now than adding new tools. ## What this means for your 2026 search strategy The data across both consumers and marketers tells a coherent story. Users are adopting AI search faster than they’re developing trust in it. Marketers are deploying AI faster than they’re governing it. For search professionals, both gaps create specific, actionable opportunities. ### Audit your brand’s AI footprint before someone else does Brands have already been misrepresented in AI responses. Query your brand name across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Document what’s accurate, what’s missing, and what’s wrong. Build a monitoring cadence before you’re in damage-control mode. ### Invest in entity authority and original research AI can’t generate proprietary survey data, original research, named expert perspectives, or verified brand facts. Marketers prioritizing original research are building assets that will become even more valuable as AI systems get better at rewarding genuine authority over generic content. ### Distribute your visibility across multiple platforms Consumers are checking 2.4 platforms before buying, and they’re doing it consistently across every generation. Google organic is necessary, but it isn’t sufficient. Your brand needs a coherent, consistent presence in Reddit discussions, YouTube content, AI assistant responses, review platforms, and earned media. If a consumer asks ChatGPT about your category and you’re not mentioned, or you’re mentioned inaccurately, you’ve lost that decision before they ever reach a search results page. ### Build AI content governance, not just AI content workflows Consumer demand for AI disclosure ranges from 84% to 91% across formats. Only 20% of brands always disclose. This disconnect is a reputational liability and, increasingly, a legal and regulatory one. Establish disclosure policies, fact-checking checkpoints, bias reviews, and hallucination escalation processes as operating standards. ### Close the GEO measurement gap If you can build attribution frameworks that connect AI-assisted search mentions to traffic, lead quality, and revenue, you’ll be able to prove ROI at a time when most teams can’t. That’s a budget and strategy advantage that compounds. ### Double down on what AI can’t replicate Proprietary data. Named experts. Human-verified claims. Transparent sourcing. Consistent brand voice at high quality. The brands that treat quality as a strategic differentiator in 2026 are the ones whose names will come up when consumers and AI systems go looking for answers. [ If AI can’t find you, customers won’t either. See your AI visibility ](https://www.semrush.com/ai-seo/overview?utm_campaign=ic_sel_0102ai&utm_source=searchengineland.com&utm_medium=overlay&onboarding=off) Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions. ## Methodology Fractl and Search Engine Land surveyed 1,008 U.S. consumers and 150 marketers in Q2 2026. - The consumer sample was nationally representative across age, gender, and region. - The marketer sample included companies ranging from fewer than 10 employees to more than 5,000 and spanned roles in SEO, content, social, analytics, paid media, PR, and marketing leadership. Where noted, findings are compared year over year against the same questions asked in Fractl’s 2025 consumer study conducted with Search Engine Land. *Contributing authors are invited to create content for Search Engine Land and are chosen for their expertise and contribution to the search community. Our contributors work under the oversight of the editorial staff and contributions are checked for quality and relevance to our readers. Search Engine Land is owned by Semrush. Contributor was not asked to make any direct or indirect mentions of Semrush. The opinions they express are their own.*