The Crocodile in the Room: How AI Search Is Changing Digital Strategy (And Why That’s Not New)

The Crocodile Phenomenon: AI Eats First, Sites Eat Last

Here’s what’s happening: AI-generated search responses are pulling from your carefully crafted website content to answer user queries directly. You did the work, AI serves the appetizer, and clicks to your actual site become the after-dinner mint—nice to have, but not guaranteed.

This is referred to as the crocodile phenomenon. Your content gets consumed at the surface while the click-through rate slowly sinks beneath the waterline.

Sound familiar? It should. This is the same dynamic we saw with featured snippets, knowledge panels, and voice search results. The format changes, but the fundamental challenge remains: How do we ensure our content doesn’t just feed the algorithm, but actually drives meaningful engagement?

AI Search Is IoT’s Cousin Twice Removed

When the Internet of Things (IoT) and voice-controlled devices changed search behavior, we didn’t abandon SEO—we evolved it. We optimized for natural language, focused on question-based content, and prioritized local search signals.

AI in search is the next iteration of that same evolutionary pressure. The medium is different, but the mission stays consistent: meet users where they are, with content that serves their needs in the format they’re seeking.

This isn’t a revolution. It’s the latest chapter in an ongoing need for digital optimization. And if you’ve been keeping your content strategy nimble all along, you’re already halfway there.

From Tactics to Strategy: The Real AI Opportunity

Here’s where it gets interesting—and where most conversations about AI miss the mark.

AI tools like ChatGPT and Claude aren’t magic wands that replace strategic thinking. They’re pencils. Very sophisticated, occasionally overconfident pencils, but pencils nonetheless. The magic isn’t in the tool; it’s in the prompt.

In our world, we constantly field requests that lead with execution: “We need a flyer.” “Can you send an email blast?” “We want to do direct mail.” But the right question isn’t what format, it’s what problem are we solving, and who are we solving it for?

That flyer request? Maybe it’s actually a geotargeted display campaign with retargeting. That email blast? Could be a segmented drip series with personalized content paths. The tactic might change, but the strategy drives everything to meet the objective.

This is where AI becomes genuinely useful. Not as a shortcut to churning out mediocre content faster, but as a collaborator in building the strategic framework before you ever touch execution.

Want AI to help with content strategy? Great. Feed it:

• Detailed audience personas
• Competitive landscape analysis
• Historical performance data
• Clear objectives with measurable KPIs
• Brand voice guidelines and content pillars

Trash in, trash out. The more rigorous your input, the sharper your output.

The Ethics Question We’re Not Ignoring

Let’s address the elephant-sized energy footprint in the room: the environmental and cognitive costs of generative AI.

Every query has a carbon cost. Every training cycle consumes resources. And there’s a very real mental load that comes with over-reliance on AI-generated thinking—the risk of homogenized ideas, the erosion of critical thinking skills, the potential for bias reinforcement at scale.

We’re not here to pretend these concerns don’t exist. As an agency working in this space daily, we have a responsibility to use these tools thoughtfully by following a set of guiding principles:

• Intentionality over automation. Use AI where it adds genuine value, not just because you can.
• Human judgment as the final filter. AI can draft, suggest, and accelerate, but strategy and approval stay human.
• Transparency with clients. If AI touches a deliverable, that’s part of the conversation.
• Continuous education. The ethical landscape is evolving. So are we.

So, What Actually Changes for Your Content Strategy?

If you’re doing digital right, less than you’d think:

Keep doing:

• Creating genuinely useful, original content that serves user intent
• Building topical authority through comprehensive, interlinked content
• Optimizing for user experience (speed, mobile, accessibility)
• Earning quality backlinks through valuable resources
• Monitoring performance and iterating based on data

Add to your mix:

• Structured data markup (help AI understand your content context)
• FAQ and conversational content formats (align with how AI interprets queries)
• Thought leadership and proprietary research (harder for AI to replicate or commoditize)
• Multi-format content distribution (don’t rely solely on organic search traffic)
• First-party data strategies (own your audience relationships)

The Bottom Line

AI in search isn’t a crisis; it’s a catalyst. It’s pushing us to get sharper about strategy, more intentional about content, and more creative about how we build audience relationships that transcend any single channel.

We’ve been optimizing through algorithm updates, platform changes, and shifting user behaviors for years. AI search is just the latest wave, and we’ve got our boards waxed and ready.

The real competitive advantage isn’t in the tools you use—it’s in how you think, what you know about your audience, and your ability to adapt without losing sight of what actually matters: creating value, building trust, and driving results that move the business forward.

Ready to talk about how AI fits into your digital strategy? We’ve been testing, learning, and implementing in real time. Let’s connect.

Have questions about AI, SEO, or how to future-proof your digital presence? Our team is leading the conversation at the upcoming PRSA program in January. Stay tuned for more insights, or reach out directly—we’re always up for a good strategy session.