For years, search has been built on keywords — matching the words people type into Google with the words that appear on a webpage. It’s how we all learned to think about SEO: identify the phrases your audience uses, and weave them naturally into your copy. That approach still matters, but it’s no longer enough on its own.

From keywords to meaning

Search engines, powered by AI models like Google’s new MUVERA, are becoming much better at understanding meaning. They’re learning to read content the way people do — recognising tone, intent, and relationships between ideas.

This means the traditional “keyword-first” approach is giving way to one that focuses on context, clarity and intent. AI can now tell when a page genuinely answers a question or adds value, even if it doesn’t use the exact phrase a user typed.

What this means in practice

For marketers, content creators and creative teams, this shift means rethinking not just what we write, but how we structure it.

Here are a few key ways to adapt:

1. Write for topics, not just keywords.Cover the full intent behind a search — the who, what, why and how. For example, instead of just targeting “holiday cottages in Aberdeenshire,” build content that explores the experience around it: where to eat locally, walks from the doorstep, seasonal highlights, and nearby attractions.
2. Connect your content.This is where semantic clustering comes in. On websites, it means linking related pages together — so your “holiday cottages” page connects naturally to “where to eat” or “things to do.” On social media, it means building small content series or themes, so your posts tell a joined-up story rather than standing alone.
3. Structure clearly.Headings (H1s and H2s), sub-sections and bullet points don’t just help readers skim — they also help AI understand hierarchy and flow.
4. Answer intent early.Give people what they’re looking for quickly and clearly. If your content promises advice, insight or inspiration, lead with that upfront rather than burying it halfway down the page.
5. Add depth with FAQs, subtopics and multimedia.FAQs and sub-sections help AI recognise that your content answers multiple layers of a question. Adding imagery, video or data visualisations signals richness and relevance.

The human part still matters

AI isn’t replacing good content creation — it’s refining what “good” looks like. The systems are getting better at rewarding content that’s useful, well-organised and genuinely human.

For marketers, this is actually good news. It means thoughtful storytelling, clear structure and audience understanding will continue to outperform quick fixes or keyword stuffing.

Why it matters

While technology keeps evolving, the principle stays the same: create stories, campaigns and resources that people actually want to read and share. The smarter the search becomes, the more it values meaning.

At The Goldie Collective, we see this as an opportunity — to use AI as a tool for better human-centred marketing, not a replacement for it.