The LavaCon Content Strategy Conference | 27–30 October 2024 | Portland, OR
Jeff Coyle

Jeff Coyle is the Co-founder and Chief Strategy Officer for MarketMuse. Jeff is a data-driven search engine marketing executive with 22+ years of experience in the search industry. He is focused on helping content marketers, search engine marketers, agencies, and e-commerce managers build topical authority, improve content quality and turn semantic research into actionable insights.

Prior to starting MarketMuse in 2015, Jeff was a marketing consultant in Atlanta and led the Traffic, Search and Engagement team for seven years at TechTarget, a leader in B2B technology publishing and lead generation. Jeff frequently speaks at conferences including: ContentTECH, Marketing AI Conference, Content Marketing World, LavaCon, Content Marketing Conference and more. He has been featured on Search Engine Journal, Marketing AI Institute, State of Digital Publishing, SimilarWeb, Chartbeat, Content Science, Forbes and more.

Generative AI & Your Content Strategy = Best Friends

If you haven’t started using generative AI for your content creation – stop what you’re doing and try it out! ChatGPT, OpenAI, Jasper will dramatically speed up your content creation process.

But that’s not really what this session is about.

This talk is about how to power that AI-generated content with strategy so you don’t get the output as everyone else.

Generative AI doesn’t know you or your domain. Every user is the same to AI.

Join this session with Jeff Coyle, co-founder of MarketMuse, to learn how to:

  • Avoid “garbage in, garbage out” with AI and make the most of these generators
  • Inject personalized data to align your query with your content strategy
  • Check the output for quality and get the most from a search perspective

In this session, attendees will learn:

  • Making the most of AI generators for content creation as well as contributing to business outcomes
  • Avoiding creating copycat content
  • Creating high-quality AI-generated content at scale