Google has highlighted a shift in search behaviour linked to AI-powered search experiences: queries in AI Mode are reportedly around three times longer, and users may start researching products and services earlier in the decision process. The discussion, reported by Search Engine Journal, is not a formal regulatory change or a new binding platform rule, but it is a useful signal for businesses that depend on Google visibility and paid search performance.

What happened

According to Search Engine Journal’s coverage of a Google Ads Decoded discussion, Google described several trends tied to AI-driven search behaviour. These include longer, more detailed queries in AI Mode, earlier-stage discovery, and increased interest in human perspectives during the research process.

The article frames these points as considerations for advertisers planning ahead, rather than as a confirmed change to ad policy or a guaranteed roadmap. Still, the message is relevant: if searchers are using more conversational and complex prompts, older landing pages built around short keywords and limited intent matching may become less effective.

Why it matters for European businesses

For European SMEs, e-commerce brands and B2B companies, longer AI-assisted queries can affect both organic visibility and paid search efficiency. A landing page designed for a narrow keyword may not answer the broader, more nuanced questions a buyer now asks in AI search interfaces.

This matters in several ways:

• Search intent may become more specific. Users may include context, constraints, comparisons and business requirements in a single query.
• Discovery may begin earlier. Businesses may need content for awareness and evaluation stages, not only bottom-of-funnel conversion pages.
• Content quality may matter more. If buyers want human perspectives, case studies, expert commentary and real implementation details may become more valuable than generic copy.
• Paid traffic may require different landing experiences. Ad clicks from AI-influenced searches may arrive with more complex expectations, requiring stronger page structure, clearer answers and more trust signals.

For companies operating across multiple EU markets, this could also increase the importance of localised content. Long-form, conversational search behaviour may vary by language, market and buying context, making direct translation less effective than market-specific adaptation.

Who may be affected

• E-commerce companies that rely on Google Ads and category or product landing pages for acquisition.
• B2B firms with longer buying cycles, where users research solutions well before contacting sales.
• Marketing teams and agencies managing search campaigns, SEO content and conversion-focused landing pages.
• Web and UX teams responsible for page structure, information architecture and performance of lead-generation journeys.
• Founders and SME owners who depend on search visibility but have limited content resources and need to prioritise high-impact updates.

What companies should consider

Businesses do not need to assume every claim about AI search behaviour will translate directly into results, but they should review whether their current search and landing page strategy is too narrow for more detailed user intent.

• Audit key landing pages. Check whether high-value pages answer broader business questions, comparisons, implementation concerns, pricing logic or trust-related objections.
• Map content to earlier research stages. Add pages and sections for discovery, evaluation and decision-making, not only direct conversion.
• Use clearer structure. Well-organised headings, concise answers, FAQs, proof points and internal linking can help pages serve more complex search journeys.
• Add genuine expertise. Case studies, expert commentary, customer scenarios and practical examples may better match demand for human perspectives.
• Review paid search intent. Compare search query reports and landing page performance to see whether broader or more conversational searches are converting differently.
• Localise for EU markets. Where relevant, adapt messaging by country and language rather than relying on one generic English-language page.

For now, the development should be treated as an important search trend rather than a settled rule. But for companies that depend on Google for leads or sales, it is a practical reminder that AI-influenced search may reward pages that answer fuller, more complex questions from the start.