INsights
Marketing technology has never been more capable.
Marketing technology has never been more capable. AI can interpret complex questions, compare options, generate content, analyse enormous amounts of information and increasingly shape what people discover before they ever reach a business.
That creates enormous opportunities for marketers, but it also creates a paradox: as technology makes it easier to produce more marketing, simply producing more becomes less valuable. What becomes more valuable is the human understanding behind it.
The end goal isn’t more marketing — it’s growth. Paid media, social, content, creative, websites and SEO are the tools. What matters is how effectively they work together to help the right people discover a business, understand its value, build trust and choose it.
As AI changes the journey from discovery to decision, that distinction matters more than ever.
AI has dramatically lowered the barrier to producing competent marketing. Articles, emails, advertisements, imagery, social content, research and ideas can all be produced faster than they could have been just a few years ago.
That's useful, but when every business has access to similar technology, access itself isn't much of a competitive advantage. If ten businesses can produce ten competent articles in the time it once took to create one, producing the eleventh won't necessarily distinguish the business.
What becomes more valuable are the things that are harder to manufacture: original thinking, first-hand experience, genuine expertise, creativity, a recognisable point of view, evidence, trust and an understanding of the customer.
AI can help express, organise and distribute those things, but the substance must come from somewhere. The opportunity isn't simply to produce more; it's to use better technology to create and communicate greater value.
For example, a business with deep specialist expertise could use AI to identify recurring customer questions and emerging topics, then draw on its own people to provide the knowledge and perspective behind the answers. AI can help with research, structuring and communicating that expertise, but the authority comes from the people who actually know the subject.
The way people find information is changing. Traditional search isn't disappearing but is becoming more conversational, contextual and exploratory. Google's AI search experiences allow people to ask longer, more complex questions, continue with follow-up questions and explore information in different formats.
That matters because people no longer necessarily need to translate what they want into a neat two- or three-word search phrase. They can increasingly ask the question they actually have in mind.
For businesses, this shifts the challenge from simply “Can we rank for this keyword?” to a more useful one: “Are we a credible and relevant answer to the questions our customers are actually asking?”
Generative Engine Optimisation, or GEO, is sometimes presented as though businesses now need an entirely new playbook for being discovered. The reality is more nuanced.
Google's guidance on appearing in its AI search experiences continues to emphasise many of the fundamentals that have underpinned effective organic search for years: useful, people-first content, clear site structure, accessible information, a strong page experience, and original material that adds genuine value.
What's changing is the environment in which those fundamentals need to operate. AI-powered search can synthesise information from multiple sources rather than simply presenting a list of pages. That places greater emphasis on whether a business has developed sufficient clear, credible, and useful information for both people and machines to understand what it knows, what it does, and where its expertise lies.
That can include authoritative articles answering genuine customer questions, clearly defined services and expertise, first-hand insights, useful case studies, expert commentary, original research or data, accurate business information, logical relationships between related topics and pages, and credible evidence where claims require substantiation.
This isn't about writing for a machine instead of a person. Quite the opposite. Good GEO and good SEO increasingly meet at the same place: being genuinely useful and credible enough to deserve visibility.
There is another reason businesses shouldn't allow the AI conversation to become entirely about search visibility. Discovery is only one part of growth.
A person might discover a business through an AI-generated response, a traditional search result, an advertisement, social media, a recommendation or something they saw weeks earlier. They then visit the website, explore what the business offers, read reviews, look for evidence, compare their options and form an impression of the business and the people behind it.
Technology can make that journey faster, but it can't make a business worth choosing. Being found creates the opportunity. What people experience next — the clarity, credibility, relevance and trust — helps determine what they do with it.
That's the difference between visibility and growth.
Growth rarely comes from one marketing activity working in isolation. A person may encounter a business in several places and at different times before deciding to act. To them, those interactions aren't separate channels — they are all part of the same business experience.
A campaign can generate qualified traffic while the website loses the opportunity. Great creative can earn attention, while unclear messaging creates hesitation. Strong visibility can introduce the right person to a business without giving them a compelling reason to choose it.
Each part affects the next. Growth happens across the experience, not inside a channel. That's why strategy has to sit above individual marketing activities.
The easier technology makes everyday tasks, the more noticeable unnecessary friction becomes. People are increasingly accustomed to asking complicated questions and receiving useful answers quickly. They can compare businesses, investigate claims and find alternatives with less effort.
That changes what a good digital experience feels like. A confusing website feels even more confusing. An unclear offer becomes easier to abandon. Generic content provides less reason to stay. Claims without evidence become easier to question. A complicated enquiry process creates friction at precisely the point where interest has been created.
Customer feedback, usability testing and behavioural data can reveal where people hesitate, abandon the process or simply can't find what they need. The goal isn't to make every interaction instantaneous. It's about understanding where you're asking people to expend effort — and whether the experience is worth it.
There is another consequence of the explosion in AI-generated information: volume becomes less meaningful. When almost anyone can produce polished words, polished words alone provide less evidence of expertise.
People need other signals — real people, real experience, original knowledge, useful case studies, reviews and testimonials, specific examples, evidence for claims and a consistent point of view. These things matter to humans when making decisions and help search engines and AI-powered discovery systems understand the depth and credibility of a business.
For businesses, that creates a stronger case for building a genuine body of knowledge around what they know rather than producing large quantities of interchangeable content. It's better for the customer, strengthens the brand and supports stronger SEO and GEO.
The objective should never have been to fill the internet with words. It should be to create the best possible information for the people we're trying to reach.
There are significant opportunities to use AI across marketing. It can accelerate research, remove repetitive work, identify patterns, support personalisation and help teams make better use of the information they already have.
But the more useful question isn't simply, “Where can we add AI?” It's “Where can technology improve the experience or create a better commercial outcome?”
That might mean helping customers find the right information faster, identifying friction in the customer journey, uncovering patterns in what people are asking or freeing specialists from repetitive tasks so they can spend more time applying their expertise. The value isn't in using AI for its own sake; it's in what improves as a result.
If AI simply allows us to produce more, it's worth asking whether more is actually what the business needs.
Search will continue to change. AI will become more capable. Platforms will evolve, new channels will emerge and existing ones will change shape. But the objective remains remarkably consistent: understand who you're trying to reach, what matters to them and what will move them to act. Make it easy to find you, clear why they should choose you and simple to take the next step.
At RealClicks, that's why we believe in Strategy Before Spend. The channels will change. The technology will change. The objective is growth.
The opportunity isn't to make marketing less human because technology can do more. It's to use technology to create better experiences, better decisions and better commercial outcomes.
The tools will continue to change. Understanding the person on the other side of them won't.
