SEO vs GEO: A Practical Guide to Planning Content for Both
For years, content plans have contained a reassuring little line called “SEO content”. Perhaps a blog a month. A new service page. A few articles built around keywords. Lovely. But SEO vs GEO is making that one neat label increasingly unhelpful, because content designed to capture established search demand and content designed to answer the questions appearing in AI-assisted search don’t always start in the same place.
That doesn’t mean SEO is dead, obviously. Nor does it mean you need to fling your existing search strategy into the bin and start again with a shiny new acronym.
It does mean we need to get clearer about the job each piece of content is there to do.
SEO vs GEO: what’s the practical difference?
SEO-led content is primarily planned around visibility in conventional organic search: what people are searching for, what they mean when they search it, and where there is a useful opportunity for your business to appear.
GEO – or generative engine optimisation – shifts the starting point slightly. Rather than beginning only with a keyword and its search volume, it asks what questions, problems and information needs your audience has, and whether you have something genuinely useful to contribute to the answer.
We’re deliberately talking about the planning distinction here. This isn’t a claim that SEO and GEO operate in two completely separate universes. In fact, Google’s guidance continues to point businesses back to established SEO best practice for its AI search features. We’ve covered the page-level side of that in our practical guide to appearing in Google AI Overviews. (The Polka)
But when you’re deciding what to create, the distinction is useful:
SEO-led content | GEO-led content | |
Starts with | Search demand and search intent | Audience questions, pain points and information needs |
Primary job | Earn relevant organic search visibility | Provide useful material that can surface within generative search |
Often looks like | Service pages, location pages, commercially focused articles | Guides, explainers, specialist answers, question-led resources |
Role of keywords | Usually central to the planning process | Useful evidence and language, but not necessarily the starting point |
Useful measures | Queries, rankings, impressions, clicks and organic traffic | Generative-AI impressions, pages being surfaced and AI referrals where measurable |
Put another way, GEO vs SEO is less about choosing sides and more about recognising that not every search-led page needs to be briefed in exactly the same way.
The problem with treating every piece of search content the same
We arrived at this distinction through something fairly mundane: looking at Search Console.
During a recent Polka SEO catch-up, we compared our own site with another site that was attracting substantially more conventional Google search traffic. On traditional search performance, the other site was comfortably ahead.
But when we looked at the new generative-AI data, the difference almost disappeared. Polka was generating a surprisingly similar level of visibility despite its much smaller traditional search footprint.
And the pages surfacing from our site were telling. They were largely niche, useful, informational pages: the sort of content created to explain something, solve a problem or answer a real question. The other site had much more search traffic overall, but far less of that kind of material.
That is one observation from two sites, not a grand scientific study, so we’re not about to announce that we have cracked the AI-search algorithm over a cup of coffee.
It did, however, expose a useful problem in the way we had been planning content.
We were already creating some keyword-led content and some pain-point-led, genuinely useful content. But we weren’t always being intentional about which job each piece was meant to do.
That sounds like a small distinction. In practice, it changes the brief.
How do you decide whether content should be SEO-led or GEO-led?
Decide what the page needs to achieve before you start trying to optimise it.
If there is established search demand for a service, specialism or location, and the person searching has a recognisable commercial need, an SEO-led page probably makes sense.
Someone searching for a particular consultancy service in Manchester, for example, does not need an elaborate thought-leadership essay. They need a page that clearly establishes relevance and helps them decide whether the business can help.
GEO-led content tends to become more useful when the audience is trying to understand something. They might be weighing up options, trying to avoid a mistake, working out what something means for them or asking a highly specific question that barely registers in a conventional keyword tool.
That last point matters.
A question can be commercially important without having thousands of searches a month. In niche and expertise-led sectors especially, the useful questions are often quite specific. If the only ideas you pursue are the ones with an impressive-looking volume number beside them, you can end up ignoring exactly the things a prospective client wants help understanding.
The primary objective doesn’t make the other one disappear either. A GEO-led guide can rank in conventional search. An SEO-led page can appear in an AI-generated answer. The label simply forces you to decide what is driving the piece instead of attempting to make every article do every possible job at once.
A practical SEO and GEO strategy for your monthly content plan
The easiest way to introduce this is not to create a vast new workflow. Add one decision to the content-planning process and make it explicit.
Start with the audience and the commercial priority. Before reaching for a keyword tool, ask what your prospective customers currently need to find, understand or decide. This keeps both SEO and GEO connected to something the business actually cares about.
Review the conventional search opportunity. Look at existing queries, impressions and rankings alongside keyword research, service-page gaps and commercial search intent. Where is there established demand that you should be capturing more effectively?
Review the generative-search opportunity. Look at the useful questions your clients ask, recurring sales conversations, audience pain points and specialist subjects on which your team has something credible to say. Also look at which existing pages are already appearing in generative-AI reporting. Patterns there can help you decide where to go deeper.
Give every search-led piece a primary job. Label it SEO-led or GEO-led in the programme. That tiny step is surprisingly useful because it forces the team to agree why the content exists before anyone starts writing it.
Brief according to that objective. An SEO-led brief should make the target audience, search intent, relevant search phrases and page objective clear. A GEO-led brief should make the audience question or pain point, the useful answer and the expertise or evidence behind it clear. AI search optimisation shouldn’t mean writing 1,500 words of generic answers because somebody has heard that AI likes FAQs.
Measure the page against the job you gave it. If you created a commercially focused service page to capture organic demand, relevant impressions and clicks matter. If you created a specialist resource to build generative-search visibility, judging it solely by the number of website visits it produces is likely to miss part of the picture.
The aim is not to divide the website into a neat SEO half and GEO half. It is to stop content planning being driven by one blunt process.
What does an SEO brief versus a GEO brief actually look like?
Imagine an expertise-led business operating in several locations.
An SEO-led brief might be:
Create a page for [service] in [location], aimed at people actively looking for a provider. Explain the service clearly, demonstrate relevant experience and answer the commercial questions that are likely to affect their decision.
The search opportunity helps define the page.
A GEO-led brief for the same business might instead be:
Answer: “What should I check before appointing a [specialist] for X?” Give the reader a practical way to assess their options, using examples, experience and the things our team sees go wrong in real projects.
The customer's information need defines the page.
That does not mean we ignore search research in the second example. Relevant phrases can help us understand the language people use, related questions and how the subject connects to wider search demand. They should support the content rather than forcing it down an unnatural route.
This is particularly useful when keyword tools start running out of answers. There are only so many articles you can write around the same high-volume commercial phrase before your content begins eating itself.
Pain points, decisions and questions give you a much richer field to work with – provided they are based on what your audience genuinely cares about rather than questions invented because an AI content tool needed ten more headlines.
How should you measure SEO and GEO?
Not with exactly the same scoreboard.
Traditional SEO still gives us familiar measures through Search Console: queries, impressions, clicks, click-through rate and average position. Those remain useful for understanding whether Google is connecting your site with the searches that matter. (Google Help)
But Google has now added a dedicated Generative AI performance report to Search Console. As of 31 August 2026, Google says those insights have been rolled out worldwide. The report covers impressions from AI Overviews and AI Mode and lets site owners see which pages are appearing, alongside dimensions such as country and device. (Google Help)
That gives marketers something we were missing: a clearer signal that content is actually being surfaced in Google's generative search experiences.
It still isn't the same as an old-school keyword report. The dedicated generative-AI view centres on impressions and the pages receiving them, rather than handing you a neat list of every conversational prompt behind that visibility. So the temptation to attach one lovely number to GEO and declare victory should probably be resisted.
GA4 adds another piece. Google introduced an AI Assistant channel in 2026 for visits referred from services such as ChatGPT, Gemini, Copilot and other recognised AI assistants. Importantly, Google treats clicks from its own AI Overviews and AI Mode differently: those sit within Organic Search rather than the AI Assistant channel. (Google Help)
So, for now, useful GEO measurement means looking at several signals together: whether relevant pages are gaining generative-AI impressions, whether that visibility is expanding, whether external AI assistants are referring visitors and, ultimately, whether the wider marketing picture is producing the right enquiries.
We've written separately about the limits of AI attribution in our guide to tracking AI visibility. The crucial distinction remains the same: visibility data is getting better, but visibility and complete customer attribution are not the same thing. (The Polka)
Do you really need two separate content strategies?
No. And creating two entirely separate strategies would probably make this more complicated than it needs to be.
You need one audience-led content strategy that recognises different content can perform different jobs.
When you plan next month's activity, try adding two questions to the conversation: What are we creating to capture relevant conventional search demand? And what are we creating to answer the specific questions and problems that generative search is increasingly built around?
Sometimes one brilliant page will contribute to both. Sometimes the answer will be a commercially focused SEO page and a separate, genuinely useful guide. Either is fine. The important bit is knowing why you're creating them.
If you're trying to turn SEO and GEO strategy into a practical content programme rather than another collection of acronyms, get in touch
