94% of Buyers Use AI Before They Call. Are You Telling the Right Story?

AI Search for CEO Research

LinkedIn’s research team just published something worth sitting with. Their team reframes one of the most fundamental assumptions in B2B marketing: that visibility is something you buy. In the AI search era, it is not. It is something you earn through credibility, consistency, and presence in the right places.

Key Takeaways
  • 94% of B2B buyers now use LLMs like ChatGPT, Copilot or Gemini somewhere in their purchasing journey, often before they ever reach out.
  • Gartner forecasts organic search traffic could drop 50% or more by 2028. Discovery is moving inside AI interfaces, not the open web.
  • LinkedIn is the second most-cited domain across LLMs, behind Reddit and ahead of Wikipedia, Forbes and Medium.
  • “Buyability,” LinkedIn & Bain’s framework, shows relational and reputational trust matter over 3X more than price or features in B2B decisions.
  • The same content that makes a brand trusted by buyers is what makes it discoverable to AI. Reputation and AI visibility are now the same job.

The Buying Journey Moved. The Discovery Model Did Not.

94% of B2B buyers now use large language models (LLMs) like ChatGPT, Copilot, or Gemini during their purchasing journey. According to research by 6sense published in 2025, that is not a fringe behavior. That is the majority of your pipeline using AI to research, compare, and shortlist vendors before they ever reach out.

94%
Of B2B buyers use LLMs somewhere during their purchasing journey.
50%+
Projected drop in organic search traffic by 2028, as AI reshapes discovery.
Sources: 6sense, 2025. Gartner, organic search forecast to 2028.

The implication is significant. A buyer can now ask an AI to generate a personalized vendor shortlist, complete with rationale, without clicking on a single company website. No form fills. No tracked sessions. No retargeting signal.

For executives used to measuring pipeline through digital touchpoints, this creates a genuinely new challenge. The signals that used to tell you a buyer was in-market are increasingly absent because the research is happening inside AI interfaces, not on the open web.

Gartner forecasts that organic search traffic will drop by 50% or more by 2028. That is not an SEO problem. That is a discovery problem. And your thought leadership strategy is the only lever that moves it.

What AI Actually Uses to Build Its Answers

This is where the data gets interesting.

According to a Semrush study of 230,000 prompts conducted in October 2025, LinkedIn is the second most-cited domain across LLMs, behind Reddit and ahead of Wikipedia, Forbes, and Medium.

#2
LinkedIn is the second most-cited domain across all LLMs, behind Reddit.
Source: Semrush, October 2025. 230,000 prompts analyzed.

The trend line in ChatGPT specifically tells an even more nuanced story. Anonymous platforms like Reddit and Wikipedia have seen their citation share drop sharply since mid-2025. Meanwhile, identity-verified, expertise-driven platforms like LinkedIn are gaining ground.

This is not accidental. LLMs are trained to favor high-trust sources. As AI search matures, the pattern is clear: it is moving away from anonymous crowd-sourced content and toward verified expertise, peer validation, and professional authority.

For B2B brands, this changes where credibility is built and where it needs to be maintained. Your executive communications strategy is now part of your discovery infrastructure.

Buyability: The Concept That Reframes the Whole Conversation

LinkedIn and Bain & Company published research that introduced a framework worth understanding: Buyability.

B2B purchases are made by groups, not individuals. And those groups, before they commit, need to answer two questions: “Do companies like us use this vendor?” and “Are they recommended by people we trust?”

3X+
More influential relational and reputational factors are than product features or price in the final B2B decision.
Source: LinkedIn + Bain & Company, The Principles of Buyability, 2025.

Here is where it connects to AI search. LLMs are trained on content that reflects these exact same trust signals. The more a brand demonstrates peer validation, customer relevance, and credibility through public content, the more likely it is to appear in the AI-generated shortlists shaping discovery today.

What This Means for Founders and CEOs

The traditional playbook offered two paths: be the biggest or be the cheapest. Visibility was bought. The loudest brand in the room won.

That model made sense when buyers encountered brands primarily through channels companies controlled, like paid ads, SEO, and events.

In the Reputation Age, a third path opens up: be the most trusted, most consistently present, and most clearly understood. And notably, this is one of the few arenas where scale does not automatically win. A mid-sized firm with a credible, specific, consistently articulated point of view can outrank a larger competitor that has been broadcasting generic content for years.

The advantage now goes to the brands and the executives behind them who are willing to build genuine authority in public, on identity-verified platforms, around specific expertise their buyers actually care about.

LinkedIn is currently the highest-leverage platform for that work. Not because it is trendy, but because the data shows it is where AI is looking.

The Strategic Question Worth Asking

Not “are we posting enough on LinkedIn?” That is the wrong frame.

If a potential buyer asked an AI to describe your company’s expertise and reputation right now, what would it say? And where would it be pulling that from?

For most executive teams, that answer is unclear. Not because the expertise does not exist, but because it has not been structured and published in the places AI search is trained to trust.

That is the gap a structured thought leadership strategy closes. Not content for content’s sake, but a clear executive narrative published consistently, in the right format, on the right platform, built around the specific expertise your ideal buyers are already searching for.

When that foundation exists, credibility compounds. Trust scales. And your brand becomes the one that comes up in conversations, in referrals, and increasingly in the AI-generated answers shaping your next pipeline.

Build the presence AI trusts

At KINAI, we design and execute thought leadership strategies for founders and C-level leaders, translating real expertise into authority that compounds on LinkedIn and beyond.

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What is Buyability?+
Buyability is a framework from LinkedIn and Bain & Company describing how B2B buying groups decide who to trust before they commit. It shows that relational and reputational factors, whether peers use and recommend a vendor, are more than three times more influential in the final decision than product features or price.
How does AI decide which brands to cite or recommend?+
LLMs favor high-trust, identity-verified sources over anonymous or crowd-sourced content. Platforms like LinkedIn, where expertise and authorship are attributable, are increasingly cited because they carry the same trust signals AI models are trained to weigh: peer validation, consistency and credibility.
Does this mean SEO no longer matters?+
SEO still matters, but it is no longer the whole discovery strategy. As more research happens inside AI interfaces rather than on the open web, brands need a parallel strategy: a structured executive and thought leadership presence built for how AI systems find and trust information.
What can founders and CEOs do to become more visible in AI search?+
Start by publishing a clear, consistent executive narrative built around real expertise, in the places AI is trained to trust, starting with LinkedIn. This is not about posting more; it is about structuring what you already know so both people and AI systems can find and understand it.
Sources: “How AI Search Is Changing B2B Brand Reputation and What Marketers Must Do Now,” LinkedIn Marketing Solutions, December 2025. Data cited from: 6sense (2025), Gartner (2028 forecast), Semrush October 2025 (230,000 prompts), LinkedIn & Bain & Company (2025).