Stop Calling It AI. Start Calling It AI Search.
Posted in Keeping It Real, Tips on .
There is a terminology problem sitting at the heart of almost every conversation happening in digital marketing right now — and it is causing more confusion than clarity.
The language implies a choice — do we do SEO, or do we do AI? — as though these are competing priorities that need to be reconciled.
They do not. Because they were never separate to begin with.
The Behaviour Has Not Changed. The Mechanism Has.
What we are actually witnessing is the evolution of search itself. Not the replacement of it. The human behaviour that drives search — the need to find answers, to evaluate options, to locate trusted expertise — has not changed.
What has changed is the mechanism through which that behaviour is served. And that mechanism is now powered by artificial intelligence.
Which means the correct terminology is not AI. It is AI search.
AI Isn’t One Thing. AI Incorporate 6 Essential Disciplines.
Every conversation about AI collapses into a blur of chatbots, robots, and vague promises. And that confusion is costing businesses real money — because if you can’t name what you’re dealing with, you can’t make a strategy for it. Here’s the map.
I’ve sat in enough boardrooms and workshops to know what happens when someone says “AI” without clarification. Half the room pictures a chatbot. Someone else is thinking about self-driving cars. Another person is quietly worried about their job being automated. And nobody is talking about the same thing.
This isn’t just a communication problem. It’s a strategic one. If your marketing team is “adopting AI” without knowing which type, they’re not making decisions — they’re making gestures. So let’s build a shared vocabulary, starting with the six distinct categories that make up the AI landscape as it actually exists right now.
“AI” has become a word that means everything and therefore explains nothing. That changes here.
The Six Categories of AI
These aren’t philosophical definitions. They’re working categories — the ones that matter when you’re deciding where to invest attention, budget, and strategic thinking.
Language & Reasoning AI
LLMs and chatbots that understand, generate, and reason with human language. The category most people encounter first, and the most often conflate with “AI” itself. includes: ChatGPT – Claude – Gemini – Siri
AI Search
Finds, retrieves, and synthesises information in direct response to queries. This is the category with the most immediate strategic implications for search marketing right now. Includes: Perplexity – AI Overviews – SearchGPT
Robotics & Physical AI
AI that acts in physical space — autonomous vehicles, humanoid robots, industrial automation, drones. The gap between software intelligence and physical consequence. Includes: Tesla Autopilot – Boston Dynamics – Warehouse robots
Generative AI
Creates original content — images, video, audio, code, 3D models — from prompts. The category that sparked the current mainstream AI conversation, and still the one most misunderstood. Includes Midjourney Sora – GitHub Copilot
Computer Vision AI
Interprets the visual world — images, video, faces, objects, and scenes. Operating quietly in more places than most people realise. Includes: Face ID – Google Lens – Medical imaging
Predictive & Analytical AI
Finds patterns in data to forecast outcomes, personalise experiences, detect anomalies, and surface recommendations. The oldest category, and the one that’s been running quietly in the background of the economy for decades. Includes: Netflix recs – Fraud detection – Demand forecasting
Why This Matters for Strategy
Knowing the categories isn’t an academic exercise. It’s the difference between a vague instruction to “use AI in your marketing” and a specific decision about which type of AI, applied where, and for what business purpose.
Each category has different strategic implications. Treating them as one thing produces one confused plan.
The Combination Reality
Most sophisticated AI products and solutions don’t sit cleanly in one category. They’re layered systems — and understanding the layers is how you understand the real capability and the real risk.
The Question Worth Asking
When someone in your organisation says “we need to be doing more with AI” — which of these six categories are they actually talking about? If they can’t answer that, the conversation hasn’t started yet.
And if your agency or consultant can’t give you a clear answer either, that tells you something important about the quality of advice you’re receiving.
Clear language is the foundation of clear strategy.
30 years in search marketing. Keeping It Real is where the frameworks meet the unfiltered take.
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