The Front Lines
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Becky Brooks.
Head of Marketing · MCP Manager
Becky Brooks is the Head of Marketing at MCP Manager. She is a creative and data-driven content and product marketer. Her expertise includes B2B sales enablement, email marketing, inbound content strategy, budget planning, and team-building. With 15+ years working for and advising startups, she has an arsenal of wisdom and experience that she will tap into to reach and grow their audience, rebrand their products or services, and (of course) draw a steady stream of new customers.
Guest
Becky Brooks
Head of Marketing
Company:
MCP Manager
Location:
New York, New York, United States
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In this episode of The Marketing Front Lines, we speak with Becky Brooks, Head of Marketing at MCP Manager. As AI capabilities rapidly evolve, a new protocol is fundamentally changing how marketers can leverage artificial intelligence in their daily work. MCP (Model Context Protocol) transforms AI from a text generation tool into a powerful digital colleague capable of accessing and manipulating your actual business tools. While technical teams have quickly adopted this technology, most marketers remain unaware of its potential—despite major platforms like Atlassian, Asana, Figma, and HubSpot already offering MCP servers. Becky shares how she's marketing to a highly technical audience, why TikTok surprisingly became a viable B2B channel, and how marketers can position themselves at the cutting edge of AI adoption.

Topics Discussed:

Six takeaways from this conversation.

Actionable for undefined marketers

  1. Position Yourself as an AI Early Adopter Through MCP
    Most marketers feel pressure to "be good at AI" without specific direction. Learning to use MCP with your existing tech stack (HubSpot, Figma, your CRM) positions you as genuinely skilled at AI implementation. The learning curve is only about half a day, but the credibility gain—especially with technical colleagues—is substantial. Start by auditing your tech stack and searching for "[Tool Name] MCP server" to find which tools already support the protocol.
  2. Proactively Engage IT on AI Security to Build Credibility
    Before implementing MCP servers that have read/write access to your business tools, approach your IT team with questions about security best practices. This conversation accomplishes two goals: it protects your data and demonstrates technical sophistication to colleagues who are already thinking about these issues. Frame it as excitement about productivity gains rather than asking for permission.
  3. Cultivate LinkedIn as Your AI Trend Radar
    Build an algorithm that serves you AI thought leadership from marketers, technical folks, and product managers. You'll start seeing patterns in what technologies are gaining adoption across teams. When you notice topics "exploding on the scene" across your feed, that's your signal to investigate whether your team should adopt them.
  4. Test TikTok Even for Technical B2B Audiences
    Despite assumptions that technical buyers aren't on TikTok, the platform has robust communities of AI enthusiasts, founders, and technical people teaching each other. The authenticity currency of TikTok—raw, unpolished excitement about topics you're genuinely nerding out on—often performs better than polished LinkedIn content. Videos with no makeup and imperfect lighting that capture genuine enthusiasm consistently outperform over-produced content.
  5. Optimize Content for LLM Citation, Not Just Search Rankings
    While traditional SEO still drives traffic, scrutinize all content through the lens of "likelihood to be cited by LLMs." Since three-fourths of data points in LLM product recommendations come from external links, focus on earning backlinks and creating content that LLMs will reference. The Venn diagram of SEO and LLEO (Large Language Model Engine Optimization) best practices is nearly a complete circle, but the distinctions matter.
  6. Optimize Content for LLM Citation, Not Just Search Rankings
    While traditional SEO still drives traffic, scrutinize all content through the lens of "likelihood to be cited by LLMs." Since three-fourths of data points in LLM product recommendations come from external links, focus on earning backlinks and creating content that LLMs will reference. The Venn diagram of SEO and LLEO (Large Language Model Engine Optimization) best practices is nearly a complete circle, but the distinctions matter.

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