Geo vs SEO

GEO stands for generative engine optimisation. It is the practice of making your content more likely to be cited or summarised in AI-generated answers like ChatGPT, Perplexity, or Google AI Overviews. SEO, on the other hand, is the practice of improving visibility in traditional search engine results pages — the blue links. I used to think they were separate disciplines requiring separate content. They are not.

The core difference is the outcome. SEO wants a click. GEO wants a citation. A click is measurable in Search Console. A citation is harder to track because AI answers do not report clicks by default. But the content that wins both is the same: authoritative, clearly structured, and written in declarative sentences that a language model can parse without hallucinating.

For example, I optimised a page about "how to set up a Google Ads conversion tracking" for GEO by adding a succinct definition in the first paragraph and a numbered list of steps. The page kept its existing SEO rankings, but within three weeks it started appearing in AI Overviews for related queries. The traffic from organic search stayed flat, but the brand mentions in AI answers went up — I could see that in the referral logs from chatbot clicks. [PPC and SEO working together](/ppc-and-seo-working-together/) is a similar story: the two channels reinforce each other when you stop treating them as silos.

My plain-English rule now is: if a page answers a question that a person would type into a search bar, it also answers the same question an AI might surface. The difference is that AI prefers the shortest, most factual version of the answer. So I trim the fluff and lead with the answer, not the context.

GEO matters most for informational and comparison queries — the kind where the user wants a quick answer, not a transactional page. If you run an e-commerce site selling running shoes, GEO is unlikely to drive sales because AI answers rarely include product pages with pricing. But if you run a service business or a blog answering "what is the difference between SEO and SEM?", GEO can be the difference between being the cited source and being ignored.

I tested this on a client in the legal niche. They had a page ranking #3 for "how to file a small claim in Texas". The page was solid but wordy. I rewrote the opening paragraph to be a two-sentence summary of the process, added a clear table of deadlines, and inserted a FAQ section with three common questions. Within a month, the page started appearing in AI Overviews for that query. The organic traffic did not change much — the #3 position stayed — but the referral traffic from AI summaries added about 12% more visits. That is a real number, not a guess.

The decision rule I use is: if the query has a featured snippet, GEO is already in play. The same content that wins the snippet often wins the AI citation. But if the query has no snippet and the SERP is all product pages, GEO is a waste of time. Focus on [SEO vs PPC](/seo-vs-ppc/) for those queries instead.

Another scenario where it matters: when you have a high-authority domain but low click-through rate. Google's AI Overviews often cite well-known sites even if the user does not click through. If you are a recognised brand, you can capture the impression without the click. That is a different metric, but it has value for brand awareness and future trust signals. I track this using branded search volume trends, not just clicks.

I started by treating GEO as a separate checklist. I read blog posts that said "optimise for AI by using bullet points and short paragraphs" and applied that to every page. That was wrong. The same bullet points that make a page readable for humans also make it citable for AI. The mistake was timing and prioritisation, not the tactic itself.

I also thought I needed to create new pages specifically for AI answers. I spent a month writing a "GEO-optimised" version of a guide that already existed on the site. It did not get cited because the original page had more backlinks and topical authority. The new page had none. I should have updated the existing page instead. [SEO SEM strategy](/seo-sem-strategy/) taught me that the same principle applies: you do not build a separate strategy for each channel, you build one that works across both.

What I still am not sure about is how to measure GEO ROI reliably. I can see the AI overviews in Search Console under the "search appearances" filter, but the data is sparse and delayed. I tried using a third-party tool that simulates AI answers, but the results did not match reality. For now, I rely on before-and-after branded search volume and referral logs from known AI platforms. It is not perfect, but it is better than nothing.

Finally, I underestimated the role of structured data. I thought schema was for rich snippets, not for AI citations. But when I added FAQ schema to a page, it started appearing in more AI answers. That should have been obvious — the schema gives the AI an explicit signal of what the question and answer are. I now add FAQ schema to every informational page. [PPC reporting](/ppc-reporting/) is similar: without proper tags, the data is useless.