AI Marketing Statistics 2026: 40 Sourced Figures on Adoption, Budgets, Search and Trust

Lists of AI marketing statistics often repeat figures without a source, a date or a sample. This page keeps only numbers we found on the page of the organization that produced them: survey institutes, analysts, universities and the platforms themselves. Each figure comes with its source and its date. When a source sells AI or marketing software (HubSpot, Salesforce, Adobe, Microsoft), we say so, because it can shape how a question is asked. For the wider context, see our guide to AI marketing.

How many companies and marketers use AI?

Adoption is close to universal; depth of use is not. Most organizations use AI somewhere, but it still covers a minority of marketing work.

Sources: The CMO Survey 2026 Highlights and Insights report and the Stanford AI Index 2026. Gartner also predicts that 60% of brands will use agentic AI (AI that acts on its own toward a goal) for one-to-one interactions by 2028, while warning that over 40% of agentic AI projects will be cancelled by the end of 2027 (Gartner, 2026 and 2025). Both are predictions, not measurements.

How much are marketers spending on AI?

AI takes a growing share of budgets that are not growing.

• CMOs allocate an average of 15.3% of their marketing budget to AI initiatives (Gartner, 2026 CMO Spend Survey, 401 marketing leaders, May 2026).
• Marketing budgets rose only slightly, to 7.8% of company revenue in 2026 from 7.7% in 2025 (Gartner, 2026).
• Only 30% of CMOs report mature or fully developed AI readiness, and those organizations allocate 21.3% of their marketing budget to AI (Gartner, 2026).
• 56% of CMOs say their marketing organization lacks the budget required to deliver their 2026 strategy (Gartner, 2026).
• Worldwide AI spending is forecast to reach $2.7 trillion in 2026, up 49.5% year over year (Gartner, September 2026).
• US private AI investment reached $285.9 billion in 2025 (Stanford AI Index 2026).

For the place of content in these budgets, see our content marketing statistics.

How is AI used to create marketing content?

Content is the first use of AI in marketing, by a wide margin.

Volume is no longer the bottleneck; quality and differentiation are. We compare tools in our ranking of the best AI marketing tools, and Sorank's blog article generator writes and publishes sourced articles optimized for Google and AI.

How is AI changing search and website traffic?

AI answers reach billions of people and reduce clicks on classic results.

• Google's AI Overviews have more than 2.5 billion monthly active users, and AI Mode has passed 1 billion (Google, I/O keynote, May 2026).
• The Gemini app has passed 1 billion monthly users (Google, August 2026).
• ChatGPT had 700 million weekly users sending 18 billion messages a week in July 2025 (OpenAI and Harvard researchers, NBER, September 2025). This is the most recent usage figure we could verify at source.
• When an AI summary appears, users click a traditional result in 8% of visits, against 15% without one; they click a link inside the summary in 1% of visits (Pew Research Center, browsing data of 900 US adults, March 2025).
• 18% of the Google searches in that study produced an AI summary (Pew, 2025).
• 60% of US adults say they read AI summaries in search results, and 44% have used ChatGPT, up from 34% (Pew, Americans and AI 2026, 5,119 adults, February 2026).
• About 80% of search users rely on AI summaries at least 40% of the time, and about 60% of searches end without a click to another site (Bain & Company, February 2025).
• Gartner predicted in 2024 that traditional search engine volume would drop 25% by 2026 because of AI chatbots and virtual agents. It remains a forecast.
• Traffic from generative AI tools to US retail sites grew 693.4% over the 2025 holiday season (Adobe Analytics, January 2026).
• 10% of people use AI chatbots for news every week, up from 7% (Reuters Institute, Digital News Report 2026, 97,520 respondents in 48 markets).

These shifts explain the rise of zero-click search and of AI-referred traffic as a separate channel. Our pages of Google search statistics and SEO statistics give the detail for classic search.

Are marketers optimizing for AI answers?

• 41.5% of companies already practice generative engine optimization, meaning they optimize content to appear in AI answers (The CMO Survey, 2026).
• 88% of marketers say they have begun optimizing for AI-generated responses (Salesforce, State of Marketing 2026, 4,450 marketing decision makers; Salesforce sells marketing software).
• 82% of consumers have noticed Google's AI Overviews, but more than two-thirds continue scrolling past them to other results (Gartner consumer survey, January 2026).

Which sources AI assistants cite varies by platform and by sector: our ChatGPT citation study, our study of AI citations in marketing and our monthly AI citation report track them over time.

What does AI change for marketing jobs and skills?

• 18% of marketing leaders have eliminated certain roles because of automation, and 16% have created new ones (Gartner, survey of 1,303 senior leaders, September 2026).
• Marketing roles requiring AI literacy grew 113%, yet only 4% of marketers have added AI skills to their profile (LinkedIn Economic Graph, June 2026).
• Two-thirds of employers plan to hire talent with specific AI skills, while 40% expect to reduce their workforce where AI can automate tasks (World Economic Forum, Future of Jobs Report 2025).
• 28% of employed US adults have used ChatGPT for work, up 20 points (Pew Research Center, June 2025).

Do consumers trust AI and AI-made marketing?

Trust is the weak point, and it affects brands directly.

• 53% of US consumers distrust or lack confidence in AI-powered search results (Gartner, September 2025).
• 57% of consumers say AI-generated content has made them less trusting of brand messaging overall (Gartner, survey of 1,006 US consumers, September 2026).
• 49% of US consumers say generative AI has made the quality of content worse (Gartner, June 2026).
• 82% of advertising executives believe young consumers feel positive about AI-generated ads, against 45% of those consumers (IAB, January 2026).
• 46% of people worldwide are willing to trust AI systems (University of Melbourne and KPMG, Trust in AI, 48,000+ people in 47 countries, 2025).

The key figures at a glance

How should you use these statistics?

1. Check the sample: a survey of 400 large-company CMOs does not describe a 10-person business.
2. Separate measurements from predictions: Gartner's forecasts are useful for planning but are not observed results.
3. Note who funds the study: software vendors ask questions that favor their category.
4. Date every figure: AI usage numbers age within months.
5. Compare with your own data: your share of AI-referred visits and your presence in AI answers matter more than any average.

What do these statistics mean for SEO and GEO?

Three conclusions stand out. Search demand has not disappeared, but more of it is answered on the results page or inside an AI assistant. The brands that AI assistants cite become the default recommendations. And consumer trust rewards content that is sourced, specific and clearly written by people who know the subject. In practice, that means publishing pages that answer buyer questions with data, and measuring how often AI assistants mention your brand. Sorank's AI mention tracking follows 25 to 150 questions on ChatGPT, Claude and Gemini depending on the plan, with Perplexity and Grok from the Pro plan.

Conclusion

The numbers tell a consistent story: AI is everywhere in marketing, budgets are flat, and trust and clicks are under pressure. The teams that benefit are those that measure their own exposure to AI search, keep their content verifiable and invest in being cited rather than only in being found. To see how Sorank combines content production and AI visibility tracking, start with a 3-day free trial.