By Simon Weiner.
AI has gone from a marketing experiment to the default. In 2026 roughly three-quarters of marketers use some form of AI, content is produced at a fraction of its old cost, and a growing share of discovery happens inside AI answers rather than on a list of blue links. But the strategy, the judgement and the brand voice still belong to people. This guide covers what is actually changing, the new discipline of getting cited by AI, and how to start — part of the wider question of human or AI at work.
How is AI changing marketing right now?
Three shifts stand out in 2026. Content production has collapsed in cost and time — the most AI-mature teams reportedly turn out many times more content at a fraction of the cost per piece. Discovery is moving into AI: Google’s AI Overviews now appear on roughly half of searches, and about half of consumers use AI-powered search, with many treating it as their main way to discover products. And agentic AI is starting to run multi-step workflows — research, draft, schedule — rather than just writing a paragraph on request. AI is no longer a novelty bolted onto marketing; it is becoming the layer the work runs on.
What is generative engine optimisation (GEO), and why does it matter?
As people get answers straight from AI assistants and AI Overviews instead of clicking through ten results, being cited and recommended by those systems matters as much as ranking in them. That is GEO — generative engine optimisation. It rewards content that is accurate, evidence-backed and clearly authoritative, because AI systems favour sources they can trust and quote. The practical implication: clear answers, real expertise and a structure an AI can lift cleanly now beat keyword volume and sheer publishing frequency. (This post is built that way on purpose.)
Where does AI actually help marketers?
- Content at scale — drafts, variations and repurposing one idea into many formats.
- Personalisation — tailoring message and offer to a segment, or to a single person.
- Analysis — finding patterns in campaign and customer data faster than a person can.
- Agents — running repeatable, multi-step workflows with a human checkpoint.
- Video — human-like video produced at a fraction of the old cost.
The same logic powers adjacent functions too, from customer support to sales outreach.
What should stay human in AI marketing?
The strategy, the brand voice, the creative idea, the judgement on what is worth saying, and accountability for what ships. AI produces the volume; people decide the message and stand behind it. Personalisation should serve the customer, not manipulate them, and claims still need to be true — an AI will happily write something confident and wrong. This is the deliberate division of labour at the heart of human–AI collaboration.
How do you start using AI in marketing?
Pick one workflow — content production, personalisation, or getting cited by AI — and build it properly. Automate the predictable part, keep a human reviewing before anything goes out, and measure the result against your current approach. If you do nothing else this year, make your best content GEO-ready: answer real questions clearly, show genuine expertise, and structure it so an AI can quote you. One proven, measured workflow beats ten half-built experiments.
Frequently asked questions
Is SEO dead?
No — it is expanding. You now optimise for AI answers (GEO) as well as for search rankings; the two work together.
Will AI replace marketers?
It replaces tasks, not marketers. It raises the premium on strategy, judgement and original thinking — the things it can’t do.
How much of marketing can AI do?
A lot of the production and analysis; little of the strategy or accountability. Treat it as a fast junior, not the decision-maker.
What’s the highest-ROI AI move for a small team?
Usually moving from occasional, ad-hoc use to one real, measured workflow — that jump is where the gains are.
AI is now the layer marketing runs on, but it doesn’t set the direction — you do. Pick a workflow, make your content quotable by AI, and keep a human owning the message. Automate smarter.
Simon Weiner writes on how businesses put AI to work. He runs AS Consulting.
