AI-powered search gutted LinkedIn’s B2B awareness traffic. Across a subset of topics, non-brand organic visits fell by as much as 60% even while rankings stayed stable, the company said.
- LinkedIn is moving past the old “search, click, website” model and adopting a new framework: “Be seen, be mentioned, be considered, be chosen.”
By the numbers. In a new article, LinkedIn said its B2B organic growth team started researching Google’s Search Generative Experience (SGE) in early 2024. By early 2025, when SGE evolved into AI Overviews, the impact became significant.
- Non-brand, awareness-driven traffic declined by up to 60% across a subset of B2B topics.
- Rankings stayed stable, but click-through rates fell (by an undisclosed amount).
Yes, but. LinkedIn’s “new learnings” are more like a rehash of established SEO/AEO best practices. Here’s what LinkedIn’s content-level guidance consists of:
- Use strong headings and a clear information hierarchy.
- Improve semantic structure and content accessibility.
- Publish authoritative, fresh content written by experts.
- Move fast, because early movers get an edge.
Why we care. These tactics should all sound familiar. These are technical SEO and content-quality fundamentals. LinkedIn’s article offers little new in terms of tactics. It’s just updated packaging for modern SEO/AEO and AI visibility.
Dig deeper. How to optimize for AI search: 12 proven LLM visibility tactics
Measurement is broken. LinkedIn said its big challenge is the “dark” funnel. It can’t quantify how visibility in LLM answers impacts the bottom line, especially when discovery happens without a click.
- LinkedIn’s B2B marketing websites saw triple-digit growth in LLM-driven traffic and that it can track conversion from those visits.
- Yes, but: Many websites are also seeing triple-digit (or more) growth in LLM-driven traffic. Because it’s an emerging channel. That said, this is still a tiny amount of overall traffic right now (1% or less for most sites).
What LinkedIn is doing. LinkedIn created an AI Search Taskforce spanning SEO, PR, editorial, product marketing, product, paid media, social, and brand. Key actions included:
- Correcting misinformation that showed up in AI responses.
- Publishing new owned content optimized for generative visibility.
- Testing LinkedIn (social) content to validate its strength in AI discovery.
Is it working? LinkedIn said early tests produced a meaningful lift in visibility and citations, especially from owned content. At least one external datapoint (Semrush, Nov. 10, 2025) suggested that LinkedIn has a structural advantage in AI search:
- Google AI Mode cited LinkedIn in roughly 15% of responses.
- LinkedIn was the #2 most-cited domain in that dataset, behind YouTube.
Incomplete story. LinkedIn’s article is an interesting read, but it’s light on specifics. Missing details include:
- The exact topic set behind the “up to 60%” decline.
- Exactly how much click-through rates “softened.”
- Sample size and timeframe.
- How “industry-wide” comparisons were calculated.
- What tests were run, what moved citation share, and by how much.
Bottom line. LinkedIn is right that visibility is the new currency. However, it hasn’t shown enough detail to prove its new playbook is meaningfully different from doing some SEO (yes, SEO) fundamentals.
LinkedIn’s article. How LinkedIn Marketing Is Adapting to AI-Led Discovery
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