Why more AI content is not the same as more pipeline

Speed is not strategy. In this episode of Content Amplified, Amanda Landsaw, CMO at Endeavor B2B (a marketing, media, and intelligence organization with 90+ brands across 16 verticals), explains why pumping out more AI-generated content does not translate into relevance, differentiation, or trust. Amanda argues that "crap input equals crap output" and walks through what it actually takes to use AI well: developing an almost intimate relationship with the model, layering prompts to peel back the onion, and treating point of view as the one thing AI cannot replicate. She also covers how buyer behavior is shifting as people use ChatGPT and Claude as their new search, why personalization is really just relevancy in disguise, and how to train AI on your own talks, papers, and podcasts so it can ghostwrite in your voice without losing the human review layer. If you are wrestling with how to scale content without drowning in noise, this conversation gives you a sharper way to think about the work.

About Amanda

Amanda Landsaw is the CMO at Endeavor B2B, a marketing, media, and intelligence organization that produces content across 90+ brands in 16 verticals, both for its own properties and for clients. Her background spans agency work, the WNBA, and the publishing and media space, giving her a wide-angle view of how content gets made and consumed. Amanda is focused on helping marketing and sales teams use AI responsibly, with a privacy-first mindset and the human point of view kept firmly in the loop.

Show Notes

- Connect with Amanda on LinkedIn: https://www.linkedin.com/in/amandalandsaw/