Over the past few months, I’ve had a version of the same conversation more than once when discussing both traditional SEO and AI SEO. Not with clients, but with agency partners: web designers, developers, and other agencies we work closely with. The question they’re asking isn’t really about AI search or algorithm updates; it’s more fundamental than that.
They want to know how AI is changing what an SEO team actually does, and what clients should now be expecting from theirs.
Beneath that question, if I’m honest, there’s often a quieter concern: that AI tools might eventually make SEO teams redundant altogether. I don’t think that’s where this is heading, but I do think the role of an SEO team is changing in a way that’s worth being direct about, both for agencies like ours and for the businesses that work with them.
This post isn’t about defending SEO as a channel. It’s about being honest about where AI is genuinely adding value to how we work, where the shift in SEO delivery has been heading for some time, and what that means in practical terms for what you should expect from an SEO agency or internal team in 2026.
Where Is AI Genuinely Adding Value in SEO?
The most obvious answers here are the ones you’d expect.
AI is helping SEO teams produce content more efficiently, speed up reporting, and automate parts of implementation that previously took up a significant amount of time. That’s real, and it’s an important boost to productivity. Not because it means doing more of the same, but because it frees up time that can be used for higher-level thinking.
There’s also a less obvious area where AI is doing something I think is genuinely underappreciated. Tools are now capable enough to enable already strong SEO thinkers to go deeper, faster.
Understanding a client’s industry, their audience, and the real concerns that drive buying decisions used to be something you built up over months of working on a campaign. AI tools are changing that, and we can now interrogate a client’s market at a depth that previously would have taken far longer to reach. We can explore who their ideal customers really are, what problems they’re trying to solve, and the specific language and context they bring to their searches, including the kind of contextual, descriptive queries that increasingly characterise how people use AI-powered search tools.
A good example of this: we work with a heat pump manufacturer, and for a long time the SEO strategy was sensibly focused around the types of heat pumps they offer, with product-led content targeting the searches you’d expect. When we used AI to go deeper into what actually mattered to their core audience (which is predominantly commercial buyers, rather than homeowners) we started surfacing concerns we hadn’t previously prioritised. One that stood out was decibel output – how loud a heat pump runs. It sounds like a niche detail, but for a commercial buyer making decisions that affect their tenants or building users, it carries a fair bit of weight. That insight shaped content we then produced for the client that better addressed their real audience, not just the obvious search queries around product types.
This is where I think AI is doing its most interesting work in SEO right now. Not replacing strategy, but enabling better thinking to happen more quickly.
The Shift Away from Deliverables-Led SEO Didn’t Start with AI
It’s tempting to frame the changing nature of SEO delivery as an AI story, but that wouldn’t be entirely accurate. This shift has been underway for several years, driven by something more fundamental: search algorithms getting significantly smarter about what they’re evaluating.
Three to five years ago, SEO delivery looked more like a numbers game. Publish a certain number of blog posts. Build links from sites with a certain domain authority. Match or beat competitors on word count. These were quantifiable outputs, and if you hit them consistently, there was a reasonable expectation that rankings would follow. It wasn’t a bad model for the environment it existed in, it just doesn’t reflect how search works anymore.
As search engines became better at understanding intent (not just matching keywords, but interpreting what someone actually means and what would genuinely help them), the value of surface-level optimisation started to erode. You couldn’t outrank a more authoritative, more specific piece of content simply by being longer or having more links. The gap between good SEO and box-ticking SEO became harder to paper over.
AI has accelerated that shift, not caused it. The context and understanding that AI brings to search evaluation has made the old model more obviously obsolete, but if you’d been paying attention to how search was evolving over the past few years, the direction of travel was already clear. If you’ve not read it, we recently explored how AI has impacted content strategies – just one area in which an adjusted approach is needed as a result of modern changes.
What the New Model Looks Like, and What It Means for Clients
If the old model was about delivering a defined set of outputs, the new model is about something harder to put in a monthly report: strategic thinking that’s genuinely aligned to how a business operates.
That means an SEO team spending real time understanding what a client does well, who their actual customers are, and what those customers care about. It means knowing where a client’s product or service genuinely competes, not just in search but commercially. It also means building strategy around those realities, rather than what looks straightforward from a keyword research spreadsheet.
Here’s a practical illustration of why this is an important shake-up. An SEO strategy for an ecommerce business might, on paper, point towards expanding into a product category where search competition is low. That looks like an obvious win…but if the client can’t operate competitively in that space – whether because of margin, supplier constraints or operational capacity – then that strategy doesn’t actually serve them. A good SEO team spots that in conversation, and instead of pursuing the easiest route, looks for alternative ways to drive growth within the client’s real constraints. In that same scenario, building out category pages that address specific use cases of existing products might be a better answer, and one that comes from experience and understanding rather than just data.
It’s also worth being direct about something here. AI tools, when prompted well, can ask commercially intelligent questions and surface useful insights. But knowing what to interrogate in the first place, which assumptions to challenge, which constraints to factor in, which direction to pursue: that still comes from experienced human judgement built up across real campaigns in real industries.
AI supports that thinking. It doesn’t replace the instinct that makes thinking valuable.
What To Expect from Your SEO Agency in 2026
This is perhaps the most important point, and the one I want to leave you with.
Because AI tools are enabling more to be done more quickly, there’s an understandable assumption that SEO agencies should simply be delivering more: more content, more links, more activity. I’d push back on that framing.
What AI enables good SEO teams to do is not produce more of the same, but produce better work that’s more precisely aligned to your business. The time saved on implementation should be reinvested in thinking: in understanding your market more deeply, in stress-testing strategic decisions with better data, in challenging the assumptions that might otherwise go unexamined.
The standard to hold your SEO agency or team to in 2026 isn’t volume of output, but quality of thinking. It’s whether the strategy they’re putting in front of you reflects a genuine understanding of your business, your customers, and the competitive environment you’re operating in. It’s whether they’re bringing insight to the table that you wouldn’t have arrived at yourself.
The search landscape now rewards that level of thinking more than it ever has, and the agencies and teams that recognise that shift – and invest in it – are the ones worth working with.
