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How Many People Are Using AI to Search? Key Trends and What They Mean for Brands

How Many People Are Using AI to Search? Key Trends and What They Mean for Brands
Key Takeaways

• AI search adoption is rapidly increasing, particularly among digital professionals and marketers, with varying levels of usage across different sectors.

• While traditional search engines remain popular, the shift towards AI-powered platforms like ChatGPT and Google’s AI features is evident, especially in industries focused on innovation.

• For B2B brands, leveraging AI-driven search tools requires a tailored content strategy that prioritizes clarity, authority, and in-depth information to enhance visibility in AI-generated responses.

• Key factors influencing brand visibility include the structure and originality of content, as well as adapting to platform-specific requirements.

• Ongoing monitoring and adjustment of AI search strategies are essential for optimizing brand presence in this evolving landscape, and support from specialized consultants can aid in navigating these changes effectively.

If you're aiming to keep your brand visible where people search, you may have questions about AI. There's uncertainty about how quickly consumers are moving from traditional search engines to AI-powered platforms like ChatGPT, Google's AI features, and Perplexity. For marketers and digital teams, understanding how much of your audience now uses AI for searches is crucial for effective strategy and resource planning.

This Q & A is designed for easy scanning. You don't need to read in order; just scroll to the question that matches your immediate goal. Whether you're looking for adoption statistics, tips to enhance your AI visibility, or insights into changing user habits, you'll find direct, standalone answers here.

Let's explore how and where people are using AI search so you can adjust your approach with confidence.

What percentage of users have shifted to AI search platforms for discovery and research?

AI search adoption is growing quickly. However, many people still use both traditional search engines and new generative AI tools. Current estimates indicate that the percentage of users fully switching to AI platforms varies by group and sector.

The shift to AI search depends on your audience, their digital habits, and how quickly your industry embraces generative AI. In fields like marketing and technology, professionals rely on tools like ChatGPT, Perplexity, and Google’s AI Overviews for quick answers and research. General consumer adoption is increasing, though it remains lower compared to early technology adopters and digital specialists.

  • User Demographics: The highest adoption rates are seen among digital professionals, marketers, and tech-focused users. Growth among mainstream consumers is steadier.
  • Industry Context: Sectors focused on innovation or knowledge work - such as technology and marketing - show greater early use of AI search and content recommendation tools.
  • Platform Integration: Brands appearing in AI answer boxes or Google AI Overviews usually see more non-traditional search referrals, especially if their content is designed for AI summarization and recognition.

If you notice steady results from traditional SEO but see more visits or mentions from AI summaries or assistants, your audience is likely using both search methods. Next, we’ll look at how to track your brand’s visibility in both AI-driven and traditional search environments.

If you manage a B2B brand, your choice of AI-driven search tools and trends directly impacts your visibility with business buyers. Currently, platforms using generative AI, such as conversational chatbots and AI Overviews, influence how your content appears as quick answers, detailed comparisons, or direct product recommendations.

How well these AI search tools work for your brand depends on a few things. Consider your industry, the complexity of your products or services, and the unique ways your buyers research and make decisions. You’ll need to keep track of where your brand appears in AI-generated responses, then update your content strategy to match how these systems select and summarize information.

  • Platform Prioritization: AI tools focused on conversational or direct-answer search - like ChatGPT, Google’s AI Overviews, or sector-specific bots - require a different content approach than traditional search engines. Optimizing for them is essential now.
  • Content Format and Depth: AI search platforms prefer in-depth comparisons, technical guides, and detailed use cases. These formats help answer nuanced B2B questions and often surface higher in AI-driven results.
  • Monitoring and Iteration: Tools designed for AI visibility show where and how your brand gets referenced. Real-time tracking lets you see how AI platforms summarize, cite, or highlight your information.

If you're curious about tracking ROI or linking AI search visibility to real leads and sales, our next section will guide you on measurement and analytics for AI-powered platforms.

AI Search Adoption and B2B Brand Visibility Insights
CategoryDetails
AI Search Adoption GrowthAI search adoption is increasing rapidly, particularly among digital professionals and marketers. Estimates suggest that the adoption rates vary significantly by sector, with higher usage in technology and marketing fields compared to general consumers.
User DemographicsThe highest adoption rates for AI search tools are observed among digital professionals and marketers. Mainstream consumer adoption is growing but remains slower compared to early technology adopters and industry specialists.
B2B Brand Visibility FactorsFor B2B brands, visibility in AI search results is influenced by content structure, originality, and the ability to adapt to specific platform requirements. Brands that optimize their content for AI summarization are more likely to be featured prominently in AI-generated responses.
AI Search ToolsProminent AI search tools currently impacting B2B visibility include ChatGPT, Google’s AI Overviews, and Perplexity. These platforms utilize generative AI to provide quick answers, detailed comparisons, and product recommendations that significantly affect brand visibility.
Content Strategy for AITo effectively leverage AI search tools, B2B brands must prioritize a content strategy that emphasizes clarity, authority, and depth. Content formats that work well include in-depth comparisons and technical guides, which are favored by AI platforms for providing informative responses.
Ongoing Strategy AdjustmentContinuous monitoring and adjustment of AI search strategies are crucial for maintaining brand presence in an evolving landscape. Seeking support from specialized consultants can further aid brands in navigating these changes and optimizing their visibility.

How does brand visibility in AI-powered answers work, and what factors influence your chances of being featured?

Your brand's visibility in AI-powered answers relies on how clearly your content is understood and cited by generative AI models. Unlike traditional search, these systems prioritize context, meaning, and authority over keyword matches or backlinks.

Your chances of appearing in AI-driven recommendations depend on how well your information aligns with the extraction methods and trust signals used by AI platforms. Standard keyword-based SEO methods alone may not suffice for these new systems.

  • Information Structure: Clear formatting and concise answers, along with schema markup, help AI engines accurately process and attribute your content.
  • Authority and Originality: Unique insights and strong trust markers - such as expert bylines or credible third-party citations - signal to AI models that your brand is a reliable source.
  • Platform-Specific Tactics: Adapting your content for conversational queries and optimizing for generative engines increase your visibility across tools like ChatGPT, Gemini, and Claude.

To have your brand appear in AI-generated responses, focus on clarity and authority in your content. Also, review your presence on generative AI platforms to guide your next steps.

Optional support if you want help applying this

If you're considering how AI-powered search might affect your brand's visibility, practical, independent advice can be invaluable. At SEWO, we provide tailored AI consulting for search adoption, giving you a clear understanding of what AI search means for your business without added complexity.

  • Request an AI strategy audit to see your current position and highest-value opportunities for search.
  • Receive hands-on, personalised AI roadmap support, with practical optimisation solutions based on your specific marketing goals.
  • Get ongoing, independent guidance on AI implementation, onsite training for your team, and honest advice as you shape your next steps.

For ongoing support as AI-driven search evolves, SEWO offers optional help to connect you with practical answers and clarity. We're here to guide you whenever you need focused direction on your AI visibility strategy.

Frequently Asked Questions
Around 43% of consumers use AI search tools daily, with ChatGPT accounting for over three-quarters of global AI search traffic. Google’s AI Overviews reach approximately 2 billion monthly users, indicating significant adoption alongside traditional search methods.
Traditional search engine volume is expected to decline by 25% by 2026, with AI search traffic growing over 500% year over year for many sites. While traditional search remains dominant, AI search is increasingly used, especially by digital professionals and younger demographics.
ChatGPT dominates with over 77% of AI search traffic, making it crucial for B2B visibility. Perplexity, with about 15% of AI traffic, emphasizes cited sources, while Google’s AI Overviews are critical due to their reach in 30% of US keywords.
AI systems prioritize content with strong expertise, authority, and clear structure. Content is more likely to be cited if it aligns with query intent and uses original analysis, with traditional SEO signals like E-E-A-T still influencing AI answer inclusion.
B2B brands should create content that mirrors natural language queries, focusing on in-depth explainers and Q&A sections. Using original data and expert commentary enhances authority, while structured pages with clear headings and schema markup improve AI visibility.
Nearly 70% of companies using AI in SEO report higher ROI, with studies showing a 3.7x return on investment in generative AI technologies. AI search can significantly increase conversion efficiency, making early optimization crucial for maintaining and growing organic reach.
Teams should use web analytics, referrer analysis, and manual testing to track AI-driven traffic. Monitoring AI referrers and querying AI tools with core questions helps identify brand mentions, while improving E-E-A-T signals and content structure can enhance visibility.
AI-driven answers can sometimes misrepresent facts or oversimplify complex offerings, posing brand risks. Regularly testing queries and publishing authoritative content can mitigate these risks, while monitoring processes can help respond quickly to inaccuracies.

Conclusion

You now have a summary of AI search adoption insights and a clearer picture of how user behavior is shifting toward AI-powered discovery. Understanding the key points for brand optimization and the implications for AI visibility helps you decide your next move.

If you're looking to strengthen your AI-driven search strategy, review your AI search statistics regularly and adjust your focus where needed. This approach helps you plan for future AI optimization and growth.

SEWO
SEWO
Make your brand the answer AI suggests. Expert LLM ranking optimization to boost your visibility in AI-powered search results. Get discovered by ChatGPT, Claude, Gemini & more.

References

  1. [1] 15 AI Search Stats Every Marketer Needs to Know Going Into 2026 - https://www.yext.com/blog/2025/12/15-ai-search-stats-every-marketer-needs-to-know-going-into-2026
  2. [2] 70+ AI Search Stats for 2026 (Fully Verified & Up-to-Date) - https://seranking.com/blog/ai-statistics/
  3. [3] AI Adoption Statistics in 2026 - https://www.netguru.com/blog/ai-adoption-statistics
  4. [4] 131 AI Statistics and Trends for 2026 - https://www.nu.edu/blog/ai-statistics-trends/
  5. [5] Five Trends in AI and Data Science for 2026 - https://sloanreview.mit.edu/article/five-trends-in-ai-and-data-science-for-2026/
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