From keywords to context – a brief overview of AI for SEO. (Part 1 of 3)
A little while ago, SEO was a bit of a numbers game. Count your keywords, hit the right density, tick your meta tags, and voilà – you were ranking. Those were the Wild West days of the internet, when bots were simple, and content was often written more for algorithms than actual humans. Ranking on page one would take a month or two as there was hardly any competition.
Fast forward to now, and the game has changed completely. Search engines no longer care about how many times you’ve wedged a keyword into your headline. They’re reading your content almost like a human would (or even better) – understanding intent, context, and tone. Google’s updates over the years have shifted the focus from what you say to how you mean it. And it’s not just Google, in fact more people are using ChatGPT to search and the number are growing at an extremely fast rate.
Decoding the New SEO: What Happens When AI Starts Reading Between the Lines
SEO has evolved beyond keywords and backlinks. With AI-driven search now reading, learning, and connecting information like humans do, your website needs to speak both human and machine.
We’re living in the era of semantic search, where every word, phrase, and entity is understood within a larger web of meaning. It’s not just about matching a query, it’s about satisfying it. The bots are getting smarter, and the question is: are we writing smarter, too? And more importantly – who are we actually writing for? Bots or humans? And what type of bots?
How AI interprets context and relevance
AI-driven search engines don’t just scan text; they interpret it. They read for meaning, not just matches. They compare, contextualise, and even summarise multiple pages to answer a query in seconds.
This is where context wins. If your content clearly explains an idea, provides evidence, and sits within a relevant ecosystem (linked pages, consistent structure, credible citations), it’s more likely to be referenced by AI Search.
In other words, the search engine doesn’t just ask, “Does this page contain the keyword?”
It asks, “Does this page understand the topic, and can it explain it better than anyone else?”
The future: teaching AI what your brand knows
The next phase of SEO is about training AI systems to recognise and trust your expertise. The brands that thrive will be the ones whose content is consistently useful, well-structured, and cited by others – not just ranked, but remembered.
The bots are evolving. And the brands that evolve with them are the ones being found. AI systems now look at how your content fits across the wider web. Consistency, credibility, and connections with other trusted sources matter more than ever. When reputable sites mention or cite you, it reinforces your authority in the eyes of both humans and search algorithms. SEO is still alive and well, in fact its more important than ever. But it’s changing.
In the next article, we’ll dive a little deeper into content for AI, how to write it and who to write it for.
We obviously know a thing or two about SEO
