A recent court filing, as reported by Search Engine Journal, cites an OpenAI engineer saying that users “won’t click” links and references Microsoft data indicating lower click-through rates in Bing Chat than in traditional search. While the reported statements appear in a legal context rather than a product announcement, they add to a broader industry concern: AI-generated answers may satisfy user intent without sending as much traffic to source websites.

For European businesses that depend on search visibility, website visits and content-driven lead generation, the issue is commercially relevant. If AI search interfaces keep more interactions inside the platform, companies may need to adjust how they measure SEO performance, design content and capture demand.

What happened

According to the report, a court brief quotes an OpenAI engineer stating that users are unlikely to click links, and cites Microsoft data suggesting lower click-through rates in Bing Chat compared with standard search results. The article does not, by itself, establish a new rule or platform change. Instead, it points to evidence being discussed in a legal proceeding that may help illustrate how AI search behaviour differs from conventional search.

The key business takeaway is not the legal dispute itself, but the user-behaviour pattern implied by the filing: when people receive direct, conversational answers, fewer of them may visit the websites that supplied or support that information.

Why it matters for European businesses

Many SMEs, e-commerce brands and B2B service firms in Europe still rely on organic search for discovery, education and inbound leads. If AI assistants and search chat interfaces reduce outbound clicks, companies could see changes in:

• Organic traffic volumes: informational queries may generate fewer visits even when a brand’s content helps inform the answer.
• Top-of-funnel lead generation: businesses that publish guides, explainers and comparison content may get less traffic from early-stage research queries.
• Attribution and reporting: marketing teams may find it harder to connect visibility in AI-driven search experiences with sessions, conversions and revenue.
• SEO strategy: ranking alone may become a less complete measure of performance if users increasingly consume answers without clicking through.
• Content ROI: publishers and brands may need to reassess which content formats still drive visits, sign-ups or sales.

This matters particularly in Europe, where many smaller companies have limited paid-media budgets and rely on owned content to build trust across multiple markets and languages. A reduction in click-through from AI-assisted search could disproportionately affect businesses that depend on efficient inbound marketing rather than large advertising spend.

Who may be affected

• Publishers and content-led businesses: organisations that monetise traffic directly or use content to generate leads may face the clearest impact.
• E-commerce companies: retailers may see changes in how product discovery, comparison and pre-purchase research happen if AI tools answer common questions without sending users to category or blog pages.
• B2B companies: software, consulting and professional services firms that depend on educational content for pipeline generation may need to rethink top-of-funnel content performance.
• Marketing teams and agencies: teams responsible for SEO, analytics and content measurement may need new KPIs beyond rankings and sessions.
• Website and data teams: businesses may need cleaner analytics, stronger first-party data capture and better conversion design if fewer visits arrive from informational search queries.

What companies should consider

Because the reported information comes from a court filing and not a formal product policy change, businesses should avoid overreacting. But the direction of travel in AI search is clear enough to justify practical preparation.

• Review SEO goals: separate traffic-driven content from conversion-driven content. Not every search impression will produce a click, so performance frameworks may need updating.
• Prioritise pages with strong conversion intent: product, service, pricing, demo, contact and high-intent landing pages may become even more important if top-of-funnel informational traffic softens.
• Strengthen brand demand: branded search, direct traffic, email lists and community channels can reduce dependence on third-party platforms for discovery.
• Improve on-site conversion paths: if visits become harder to win, each visit becomes more valuable. Clear calls to action, faster pages and better lead capture matter more.
• Monitor AI referral patterns where possible: track emerging traffic sources and query behaviour, while recognising that attribution in AI-driven environments may remain incomplete.
• Diversify acquisition channels: combine SEO with email, partnerships, paid search, social distribution and marketing automation to reduce concentration risk.
• Invest in authoritative content: original research, expert commentary, case studies and product-specific information may remain more defensible than generic explanatory content.

For European business leaders, the central question is no longer only whether AI search changes visibility, but whether it changes website economics. If users increasingly get answers without clicking, companies will need marketing strategies that value visibility, trust and conversion more precisely than simple session growth.