The Conversation Is Happening Before You Show Up
TL;DR
- 94% of B2B buyers use AI to research a category before engaging a sales team, meaning the conversation about your brand is already in progress before you have any say in it.
- LinkedIn has become one of the most cited sources in AI-generated B2B answers because it's built exactly the way AI wants the internet to look: real identity, real expertise, public conversations.
- Your LinkedIn presence is now content infrastructure for AI systems, not just human readers.
By the time a B2B buyer reaches your website, 94% of them have already used AI to research the category. So, the conversation about your brand started without you.
That number came from Dan Morrell, VP of Marketing Technology at LinkedIn, during his talk at Zero Click SF. It's the kind of stat that sounds alarming until you realize there's something really useful inside it.
LinkedIn is where the pre-decision conversation lives
LinkedIn has quietly become one of the most-cited sources in AI-generated answers for B2B topics. When buyers ask ChatGPT about B2B marketing, lead generation, or audience targeting, LinkedIn is consistently one of the first sources cited. Citations on ChatGPT alone doubled in the first of this year. That's not a coincidence, and it's not just brand authority. It's structure.
AI systems prioritize sources that offer credibility, freshness, and context. LinkedIn has all three built into the platform by design. Real identity. Real expertise. Real conversations happening in public. Those are exactly the signals AI uses to determine what's trustworthy. LinkedIn isn't gaming anything. It just happens to be built the way AI wants the internet to look.
At Edgar Allan, we call this the upstream visibility problem: the brand conversation is already in progress before a buyer ever visits your site, and most companies aren't contributing to it. The brands showing up in those early AI answers aren't just well-optimized, they're well-represented in the sources AI trusts most.
Your LinkedIn presence is content infrastructure, not just a social channel
The data point that reframed things for me: 94% of B2B buyers are using AI before they ever engage a sales team. They're doing their research in ChatGPT or Perplexity, forming opinions about categories and vendors, and arriving at your website closer to a decision than ever before. LinkedIn confirmed this pattern in their own funnel. Traditional KPIs like SEO traffic and marketing-qualified leads are declining. But conversion rates are up nearly 2x and deal sizes are growing. Buyers are arriving more informed and more ready.
This means the conversation happening about your brand in AI isn't happening on your website. It's happening upstream, in the tools your buyers use before they ever find you. And LinkedIn is one of the primary places those tools are drawing from.
That sat with me longer than most stats do.
Your LinkedIn presence, your company page, your executives' thought leadership, the conversations your team is having in public, all of it is now content infrastructure. Not just for human readers. For AI systems deciding whether your brand is worth citing.
This is directly connected to how AI understands and represents your brand in generated answers, and it's one of the clearest arguments for why brand strategy and AEO can't run as separate workstreams. The signals that make LinkedIn citable are the same signals that make any brand findable: consistency, authority, and a clear point of view that shows up the same way everywhere.
Part of a series covering Zero Click SF. Next up: Reema Batta, VP of Growth Marketing at Figma.
How do I know if AI is citing my brand in B2B answers?
Run your category queries directly in ChatGPT, Perplexity, and Claude. Ask "what are the best [your category] platforms for [your audience]?" and note whether your brand appears, where it appears in the list, and how it's described. That's your baseline. Tools like Profound track this systematically across query sets, giving you citation frequency and competitive positioning data over time rather than a one-time snapshot.
What should we be posting on LinkedIn to influence AI citations?
The content AI cites most is specific, attributable, and consistent with your broader positioning. That means original observations with your name attached, not reposts or generic industry commentary. Executive thought leadership that stakes a clear position on a category question, company page content that reinforces what you do and who you do it for, and public conversations that demonstrate expertise rather than just awareness. Volume matters less than clarity and consistency.
Does LinkedIn company page content matter, or is it executive thought leadership that drives citations?
Both, but they do different jobs. Company page content reinforces entity signals — what your brand is, what category it belongs to, what it's known for. Executive thought leadership builds the authority signals that make AI treat your brand as a credible source. The combination is what produces consistent citation. A strong company page with no active executive voices, or active executives with an underdeveloped company presence, both leave gaps AI systems notice.
If buyers are arriving more informed, does that change how we should think about our website?
Significantly. A buyer who has already used AI to shortlist vendors arrives at your site looking for confirmation, not discovery. They want to verify that what AI told them is accurate and that your brand lives up to the positioning they've already absorbed. That means your site needs to match the story AI is telling about you, which is another reason brand clarity and AEO work need to start from the same place. If there's a gap between how AI describes you and what your site says, buyers feel it immediately.
What's the connection between LinkedIn visibility and AEO more broadly?
LinkedIn is one data point in a larger picture. AI systems synthesize their understanding of a brand from everything they can read across the web: your site, your published content, third-party mentions, and platforms like LinkedIn where real people are talking in public. The Webflow AEO playbook covers the site-side of this equation. LinkedIn covers the off-site conversation. Both need to tell the same story, because AI is reading both.
By the time a B2B buyer reaches your website, 94% of them have already used AI to research the category. So, the conversation about your brand started without you.
That number came from Dan Morrell, VP of Marketing Technology at LinkedIn, during his talk at Zero Click SF. It's the kind of stat that sounds alarming until you realize there's something really useful inside it.
LinkedIn is where the pre-decision conversation lives
LinkedIn has quietly become one of the most-cited sources in AI-generated answers for B2B topics. When buyers ask ChatGPT about B2B marketing, lead generation, or audience targeting, LinkedIn is consistently one of the first sources cited. Citations on ChatGPT alone doubled in the first of this year. That's not a coincidence, and it's not just brand authority. It's structure.
AI systems prioritize sources that offer credibility, freshness, and context. LinkedIn has all three built into the platform by design. Real identity. Real expertise. Real conversations happening in public. Those are exactly the signals AI uses to determine what's trustworthy. LinkedIn isn't gaming anything. It just happens to be built the way AI wants the internet to look.
At Edgar Allan, we call this the upstream visibility problem: the brand conversation is already in progress before a buyer ever visits your site, and most companies aren't contributing to it. The brands showing up in those early AI answers aren't just well-optimized, they're well-represented in the sources AI trusts most.
Your LinkedIn presence is content infrastructure, not just a social channel
The data point that reframed things for me: 94% of B2B buyers are using AI before they ever engage a sales team. They're doing their research in ChatGPT or Perplexity, forming opinions about categories and vendors, and arriving at your website closer to a decision than ever before. LinkedIn confirmed this pattern in their own funnel. Traditional KPIs like SEO traffic and marketing-qualified leads are declining. But conversion rates are up nearly 2x and deal sizes are growing. Buyers are arriving more informed and more ready.
This means the conversation happening about your brand in AI isn't happening on your website. It's happening upstream, in the tools your buyers use before they ever find you. And LinkedIn is one of the primary places those tools are drawing from.
That sat with me longer than most stats do.
Your LinkedIn presence, your company page, your executives' thought leadership, the conversations your team is having in public, all of it is now content infrastructure. Not just for human readers. For AI systems deciding whether your brand is worth citing.
This is directly connected to how AI understands and represents your brand in generated answers, and it's one of the clearest arguments for why brand strategy and AEO can't run as separate workstreams. The signals that make LinkedIn citable are the same signals that make any brand findable: consistency, authority, and a clear point of view that shows up the same way everywhere.
Part of a series covering Zero Click SF. Next up: Reema Batta, VP of Growth Marketing at Figma.
How do I know if AI is citing my brand in B2B answers?
Run your category queries directly in ChatGPT, Perplexity, and Claude. Ask "what are the best [your category] platforms for [your audience]?" and note whether your brand appears, where it appears in the list, and how it's described. That's your baseline. Tools like Profound track this systematically across query sets, giving you citation frequency and competitive positioning data over time rather than a one-time snapshot.
What should we be posting on LinkedIn to influence AI citations?
The content AI cites most is specific, attributable, and consistent with your broader positioning. That means original observations with your name attached, not reposts or generic industry commentary. Executive thought leadership that stakes a clear position on a category question, company page content that reinforces what you do and who you do it for, and public conversations that demonstrate expertise rather than just awareness. Volume matters less than clarity and consistency.
Does LinkedIn company page content matter, or is it executive thought leadership that drives citations?
Both, but they do different jobs. Company page content reinforces entity signals — what your brand is, what category it belongs to, what it's known for. Executive thought leadership builds the authority signals that make AI treat your brand as a credible source. The combination is what produces consistent citation. A strong company page with no active executive voices, or active executives with an underdeveloped company presence, both leave gaps AI systems notice.
If buyers are arriving more informed, does that change how we should think about our website?
Significantly. A buyer who has already used AI to shortlist vendors arrives at your site looking for confirmation, not discovery. They want to verify that what AI told them is accurate and that your brand lives up to the positioning they've already absorbed. That means your site needs to match the story AI is telling about you, which is another reason brand clarity and AEO work need to start from the same place. If there's a gap between how AI describes you and what your site says, buyers feel it immediately.
What's the connection between LinkedIn visibility and AEO more broadly?
LinkedIn is one data point in a larger picture. AI systems synthesize their understanding of a brand from everything they can read across the web: your site, your published content, third-party mentions, and platforms like LinkedIn where real people are talking in public. The Webflow AEO playbook covers the site-side of this equation. LinkedIn covers the off-site conversation. Both need to tell the same story, because AI is reading both.