A recent court filing has drawn attention to a growing concern in AI search: whether users are less likely to click through to external websites when answers are generated directly in the interface. The filing reportedly quotes an OpenAI engineer saying users “won’t click” links and references Microsoft data indicating lower click-through rates in Bing Chat than in traditional search.

While the filing does not by itself establish a new rule for search platforms or prove the full market impact across all AI search products, it adds to a broader discussion that is highly relevant for businesses relying on organic traffic, content marketing and search visibility.

What happened

According to reporting on the court brief, documents in a legal case cite internal views and data related to user behaviour in AI-driven search experiences. The material reportedly includes a statement attributed to an OpenAI engineer suggesting that users are unlikely to click links, alongside Microsoft data showing lower click-through rates in Bing Chat compared with conventional search results.

The reported evidence is significant because it reflects concerns from inside companies shaping the AI search market. However, businesses should distinguish between what has been cited in legal filings, what may reflect internal opinions, and what has been independently verified across the wider search ecosystem.

Why it matters for European businesses

For many European SMEs, publishers, e-commerce brands and B2B service companies, search traffic remains a key source of leads, sales and brand discovery. If AI interfaces increasingly answer user questions without generating visits to external sites, companies may face several business effects:

• Lower organic traffic: Informational content may receive fewer clicks even when a brand is used as a source.
• Weaker attribution: Users may get answers in-platform, making it harder to measure the role of content in the customer journey.
• Pressure on SEO strategy: Businesses may need to optimise not only for rankings, but also for visibility inside AI summaries and answer engines.
• Higher dependence on owned channels: Email, direct traffic, communities and first-party audiences may become more important if search referrals decline.
• Impact on content ROI: Companies investing heavily in top-of-funnel content may need to reassess how that content supports pipeline and revenue.

This is particularly important in Europe, where many smaller firms depend on cost-efficient inbound marketing and do not have large paid media budgets to offset traffic losses.

Who may be affected

• Marketing teams that rely on SEO, blog content and educational landing pages for demand generation.
• E-commerce businesses that use search visibility to attract product researchers before purchase.
• Publishers and content-led brands whose business models depend on visits, ad revenue or affiliate traffic.
• B2B companies that publish expert content to support lead generation and trust building.
• Digital agencies and IT teams that advise clients on search, analytics and website performance.

The effects may be strongest for businesses whose content answers common informational queries that can easily be summarised by AI tools.

What companies should consider

• Review traffic dependency: Assess how much of your pipeline or revenue depends on organic search visits, especially top-of-funnel content.
• Track AI search visibility: Monitor whether your brand, products or expertise appear in AI-generated answers, not just in traditional rankings.
• Focus on differentiated content: Original research, proprietary data, expert commentary and strong product detail may remain more valuable than generic informational pages.
• Strengthen first-party channels: Invest in email lists, customer databases, direct engagement and repeat audiences to reduce platform dependency.
• Improve measurement: Update analytics and reporting to watch for changes in branded search, assisted conversions and declining CTR from search surfaces.
• Prepare for SEO change: Search strategy may need to combine classic technical SEO with content formats more likely to be cited or referenced in AI results.

The broader issue is not limited to one legal filing or one platform. It reflects a structural shift in how users may discover information online. For European businesses, the practical takeaway is clear: AI search should now be treated as a potential change in traffic economics, not just as a new interface trend.