How to Use This Course

AI agents are already choosing which brands your buyers see. Alex breaks down the system behind AI search visibility and shows you how to become the Content Engineer your team needs right now.

What You'll Learn

The Shift to AI Search: Introducing Agents

TL;DR

  • AI agents like ChatGPT, Perplexity, and Gemini now decide which brands get recommended to buyers.
  • Over 800 million people use ChatGPT weekly, and AI search is growing 300% year over year.
  • This course builds you into a 10x Content Engineer who connects AI visibility to business outcomes.
  • AirOps is built on four pillars: brand context, channel intelligence, execution, and evaluation.
  • You'll leave with always-on agents you built yourself and a measurement framework tied to pipeline.

Why AI search changes everything for your brand

AI agents like ChatGPT, Perplexity, Gemini, and others now sit between your brand and your buyers. They decide what gets recommended and what gets left out. This shift is already massive: over 800 million people use ChatGPT every week, and AI search is growing 300% year over year.

  • The SEO and organic growth playbooks that built careers over the last 15 years are evolving in real time.
  • Understanding this shift early gives you a real advantage in leading your team's growth strategy.

What this course will make you

Alex frames the goal clearly: this course turns you into the most valuable person on the marketing team. You become the agent-led growth expert, the 10x Content Engineer.

By the end, you will:

  • Understand the AI search channels (ChatGPT, Perplexity, Gemini, AI Mode, AI Overviews) and know where your brand needs to show up.
  • Build AI strategy that connects visibility to real, tangible business outcomes you can communicate to leadership with confidence.

How the space is evolving

The pace of change is accelerating. Alex maps the progression:

Agent design is the current competitive edge in AI search, building on earlier prompt and workflow approaches.

This course focuses on where AI search strategy is headed next.

The four pillars of AirOps

To win in AI search, you need a system, not a single tool. AirOps is built around four pillars that mirror how search actually works:

  1. Brand context. Your identity, voice, products, and audience encoded into a living foundation. Structured, consistent brand context helps your brand show up accurately at any scale.
  2. Channel intelligence. AI search is not one channel. ChatGPT, Claude, Perplexity, Gemini, and AI Mode each surface brands differently. Winning requires a full view of content influence and health so you can prioritize your team's focus.
  3. Execution. Agents in AirOps run continuously, monitoring and acting on the signals that matter in tight partnership with your team.
  4. Evaluation. AirOps connects directly to your CMS so you can publish, measure impact, and optimize. You prove the numbers you're moving and double down on what's working.

What you'll walk away with

By the end of this course, you will have:

  • A team of always-on playbooks you built yourself.
  • The brand and prompt intelligence that powers them.
  • A measurement approach that ties AI visibility to real business impact.
  • The fluency to lead AI search conversations at your company, whether you're a team of one or leading a function.

The person who operates across all of these areas is the Content Engineer. That's the role at the center of this course, and it's up next.

Key takeaways

  1. AI agents are the new gatekeepers to your buyersAI agents now decide what gets recommended and what gets filtered out before a buyer ever sees a link. Structuring your content for these agents is how you stay visible in the fastest-growing search channel.
  2. Each AI platform plays by different rulesChatGPT, Perplexity, Gemini, and AI Mode each weigh sources, structure citations, and surface brands in distinct ways. A strategy that works on one platform won't automatically transfer to another. You need channel-specific intelligence to know where your effort will have the biggest impact.
  3. Consistent brand context drives accurate AI representationAlex makes the case that brand identity, voice, and product information need to be encoded into a single, shared system. A single shared system for brand identity, voice, and product information helps AI agents represent you accurately and consistently across every channel.
  4. This course builds the agents, not just the knowledgeBy the end, you'll have built your own team of always-on agents connected to real performance data. You'll also have a measurement framework that ties AI visibility directly to pipeline and revenue.
  5. The Content Engineer is a career bet, not a side projectAlex makes the case that Content Engineering is central to where marketing is headed. Building fluency in agent design and outcome measurement now positions you to lead your team's growth strategy.

FAQs

AI search refers to platforms like ChatGPT, Perplexity, Gemini, and Google's AI Mode that generate direct answers to user queries instead of returning a list of links. Unlike traditional search engines that rank pages by relevance signals, AI search agents synthesize information from multiple sources and decide which brands to cite or leave out entirely. Over 800 million people use ChatGPT weekly, and AI search volume is growing 300% year over year.

Resources

  1. The Rise of the 10x Content EngineerArticle
  2. What is AI Search?Article
  3. What is Content Engineering? A Quick GuideArticle