Last month I asked ChatGPT a question I’ve asked Google a thousand times: “What’s a good sermon illustration about forgiveness?”
It gave me a solid answer. Three illustrations, structured with context, application points, even a suggested closing line. It was genuinely useful.
And it never sent me to a single website.
That moment hit me differently than it would have two years ago. I run a platform with over 245,000 sermons and 50,000 illustrations. I didn’t just lose a click. I watched an AI system do what our product does, using content that likely came from sites like ours, and deliver it in a way that made visiting the source unnecessary.
That’s a revenue problem. (I wrote about the traffic implications of this shift recently.) (I wrote about the traffic implications of this shift recently.)
The Zero-Click Layer
Most product leaders I know are still thinking about AI as a feature to bolt onto their product: chatbots, smart search, AI-generated recommendations. And that matters. But there’s a bigger shift happening underneath that conversation.
AI answer engines (ChatGPT, Google AI Overviews, Perplexity) are becoming the front door to the internet. They don’t just search. They visit your site, interpret your content, synthesize it, and serve it directly to the user. The user gets the answer. You get nothing.
Google’s featured snippets started this zero-click trend years ago. BUT what’s different now is the depth. A featured snippet pulls a paragraph. An AI answer engine can synthesize an entire page, or multiple pages, into a comprehensive response that genuinely satisfies the user’s intent.
If your business depends on organic traffic as a top-of-funnel engine, this should keep you up at night.
Your Content Library Is Both Your Greatest Asset and Your Biggest Vulnerability
Here’s the paradox I’ve been sitting with.
We spent years building one of the largest structured content libraries in our space. That library is what drives our organic traffic. It’s what Google indexes. It’s what pastors find when they search “sermon on grace” at 11pm on a Saturday night.
That same library is now what AI systems are ingesting to train their models and generate their answers. The very content that built our moat is being used to fill in the moat.
And here’s what makes it worse. The emerging AI-native competitors in our space don’t even need to win Google rankings. They ARE the AI tool. They’re built to live inside AI workflows, not compete for traditional search clicks.
I think this pattern applies to any SaaS company sitting on a large content asset. If you’ve built your growth engine on content that AI can summarize, you’re exposed.
AEO: A Genuinely Different Discipline
There’s a term gaining traction: AEO, or AI Engine Optimization. And I’ll be honest, my first reaction was skepticism. We don’t need another three-letter acronym.
But the more I’ve dug into it, the more I realize it represents a genuinely different discipline.
SEO optimizes for ranking. AEO optimizes for citation. The goal is to be the source that AI systems reference AND link back to. That requires a fundamentally different content strategy.
Here’s what that looks like in practice:
- Structured data becomes non-negotiable. Schema markup, clear metadata, explicit problem-solution framing in your content. AI systems parse structure, not vibes. (Schema.org is the starting point.)
- Content architecture matters more than keyword density. How your content is organized (headers, relationships between pages, internal linking) determines how AI systems understand your authority on a topic.
- Gated content is a double-edged sword. If your best content is behind a login wall, AI crawlers can’t index it. You’re invisible to the answer engine. But if everything is open, you get summarized without a click. The play is in the middle: structured preview content that AI can cite, with depth that requires the visit.
- Domain-specific language is your moat. Generic content gets synthesized away. Content that uses the precise language of your audience (the way a pastor describes their Saturday night prep struggle, the specific vocabulary of sermon structure) is harder for AI to replace and more likely to be cited with attribution.
What I’m Doing About It
I’m not going to pretend I have this figured out. But here’s where my head is:
Audit how AI sees us. Before optimizing anything, we need to understand how our top pages render to AI crawlers. What structured data exists? What’s behind login walls that blocks indexing?
Treat AI referral as a distinct channel. We track direct traffic, organic search, paid. AI referral needs its own lane in our analytics. We can’t optimize what we can’t measure.
Build content AI can’t summarize away. The full sermon text? AI can handle that. But a pastor’s framework for adapting a sermon to their specific congregation? A diagnostic tool for matching an illustration to a particular emotional moment in a service? That’s interactive, personalized, and requires being on the platform.
Move faster than the AI-native competitors. They have the structural advantage of being built for AI workflows. We have the structural advantage of 20+ years of trusted content and relationships. The question is whether we can adapt our distribution before they build our depth.
The Strategies That Got You Here Won’t Sustain You
I keep coming back to this. The strategies that built organic growth over the last decade won’t sustain it over the next five years.
That’s a reason to move, not a reason to panic.
The companies that treat AI answer engines as a new channel will capture disproportionate share of the next era of discovery. The ones that keep optimizing for Google page one while AI summarizes their content into zero-click answers will watch their traffic erode and wonder what happened.
I’d rather be early and wrong about the tactics than late and right about the trend.
The AI just walked into your website. The question is whether it’s going to send people your way, or make visiting you unnecessary.