
Last Updated on May 14, 2025
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In this episode of The Long Game Podcast, David Khim interviews Britney Muller—SEO scientist, AI educator, and former Hugging Face marketing lead—about the practical side of AI in marketing. Britney shares how her obsession with machine learning began in 2014 and how it evolved into creating her course Actionable AI for Marketers. They discuss the overuse of buzzwords like “AI agents,” the shift from backlinks to brand mentions, and the importance of making AI workflows approachable. Britney is passionate about demystifying AI, showing how it can be applied to real tasks like data analysis, strategy, and automation—without needing a technical background.
Key Takeaways
- AI Should Be Accessible: Marketers don’t need to be technical experts—AI can empower anyone to work smarter with the right guidance and workflows.
- From Backlinks to Brand Mentions: AI-powered search increasingly prioritizes brand visibility across platforms over traditional link-building strategies.
- Buzzwords Like “AI Agents” Are Misleading: The term lacks clarity and often masks tools with vague or unproven capabilities.
- Prompt Engineering Is a Skill, Not Magic: Effective AI use begins with well-structured, specific prompts tailored to clear business goals.
- AI Is Already Automating Workflows: From cleaning datasets to automating outreach, AI has everyday use cases when integrated thoughtfully.
- Beware the AI Hype Cycle: Brittany encourages marketers to avoid philosophical hype and focus on practical, ethical AI applications.
- Start with Your Own Use Cases: The most valuable AI solutions are customized—start small with your real tasks and build from there.
Show Links
- Visit Data Sci
- Check Britney Muller’s Actionable AI for Marketers course
- Connect with Britney Muller on LinkedIn and Twitter
- Connect with David Khim on LinkedIn and Twitter
- Connect with Omniscient Digital on LinkedIn or Twitter
Time Stamps
- [00:00] Intro to Britney Muller and her AI journey
- [06:30] Why Britney created the Actionable AI for Marketers course
- [13:10] How non-technical marketers can use AI in real workflows
- [21:45] From Moz to Hugging Face: lessons in scaling AI education
- [28:20] Why “AI agents” are overhyped and misunderstood
- [35:50] Real AI use cases: prompts, data workflows, and automation
- [42:15] SEO in the LLM era: brand mentions vs. backlinks
- [50:05] The danger of AI futurism and hype-based narratives
- [58:10] Building confidence through hands-on AI experimentation
- [01:04:00] Final thoughts on ethical, practical AI for marketers
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