Scaling SEO + Content with AI

20 May 2026 / Registration Open

Every marketer wants to use AI, but most are failing. Join us for a practical framework for scaling your SEO and content marketing without the risks.

Learning to walk the line between leveraging AI and avoiding the pitfalls

Every marketer knows AI can slash costs and scale content production. But only a few years into widespread adoption, most companies are failing to see ROI. The tools are powerful, but the execution is riddled with risk. Google penalties, generic content that tanks conversion rates, and eroded audience trust are just a few of the consequences of getting it wrong.

This thirty minute webinar provides a practical framework for leveraging AI in your SEO and content marketing in a way that’s both ethical and effective. You’ll learn how to use LLMs to scale your efforts without sacrificing quality, getting penalized, or adding to the growing mountain of AI slop.

The problem with AI in marketing

AI killed the SEO star. No one likes it. Everyone wants it. And it’s here to stay.

The promise was simple: slash costs, produce more content, and scale faster than ever. But the reality has been far less impressive. Most companies adopting generative AI are seeing no meaningful ROI, and investors are starting to notice. Meanwhile, search engines are getting smarter at detecting and devaluing low-effort AI content, and audiences are tuning out the flood of generic, soulless copy clogging their feeds.

The result is a paradox. Marketers can’t afford to ignore AI, but they also can’t afford to use it carelessly. Getting it wrong means risking SEO penalties, lower conversion rates, and a brand reputation that feels increasingly indistinguishable from everyone else’s.

Why this webinar matters for your marketing strategy

As AI adoption accelerates, the gap between teams who use it well and teams who use it poorly is only going to widen. Organizations that figure out how to leverage LLMs effectively will achieve economies of scale and scope that their competitors simply can’t match. But those who treat AI as a shortcut to replace skilled team members will continue to produce content that gets penalized, ignored, or scrolled past.

This session shows you how to be on the right side of that divide. You’ll walk away with a clear understanding of what works, what doesn’t, and how to build workflows that scale without compromising quality or trust.

CT Moore

Founder, Socialed Inc

CT Moore is the founder of Socialed Inc., a digital marketing agency that specializes in SEO and Content Strategy. For over 14 years, Socialed has helped both B2C and B2B brands increase rankings and sales, and reduce their CPA across channels. CT has written for dozens of blogs and publications, has spoken at conferences throughout North American and Europe, and his work has been featured by outlets including the CBC, WatchMojo, and most recently Netflix.

FAQ

Common questions about AI for SEO and content marketing

  • Will Google penalize me for using AI-generated content?

    Google’s focus is on content quality, not how it was produced. However, low-effort, unedited AI content that lacks originality or value is at high risk of being flagged or devalued. The key is treating AI as a drafting tool, not a publish button.

  • Can AI fully replace my content team?

    Not yet. AI allows experienced marketers to work faster and more efficiently, but it doesn’t replace the strategic thinking, brand knowledge, and editorial judgment that skilled team members bring. Think of it as empowering your team, not replacing it.

  • What is GEO and how is it different from traditional SEO?

    GEO, or Generative Engine Optimization, is the practice of optimizing your content so it surfaces in AI-generated answers and summaries, not just traditional search results. As more users interact with LLMs directly, GEO is becoming an essential complement to traditional SEO.

  • How do I train an AI agent on my brand’s tone of voice?

    Start by feeding it your brand guidelines, product information, and marketing personas. Then run it through small tasks, give it feedback, and iteratively refine the output. It’s a process similar to onboarding a new employee.