Quick answer: GEO (generative engine optimisation) is the practice of getting your business cited inside AI answers from ChatGPT, Google AI Overviews and Perplexity. SEO is what earns you a place in the classic search results page. The two share most of their foundations – authority, structure, clear answers – so GEO vs SEO isn’t a straight swap. You need both, working together.
If you’ve typed “geo vs seo” into Google recently, you’ve probably noticed the irony: the answer may arrive as an AI Overview before you scroll to a single blue link. UK businesses are asking whether the SEO work they’ve funded for years still matters, or whether budget needs to move towards a discipline built for ChatGPT, Perplexity and Google’s generative features.
The honest answer: generative engine optimisation vs SEO is a false binary. AI Overviews and classic Search draw on the same index, the same crawl, and largely the same quality signals. What changes is the output format – a synthesised answer instead of ten links – which changes how you write and structure content, even if it doesn’t change why Google or an AI model trusts it. Below, where GEO and SEO genuinely differ, where they overlap, and what to do about it.
What is the difference between GEO and SEO?
SEO optimises a page to rank in the traditional results list; GEO optimises the same content to be selected, quoted or cited inside an AI-generated answer – the underlying signals overlap heavily, but the target output and the way you measure success are different.
The term GEO was formalised by researchers Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande in their paper “GEO: Generative Engine Optimization” (accepted to KDD 2024). They define generative engines as systems that synthesise multiple sources into one answer rather than a ranked list, and built a black-box optimisation framework to test which content changes move the needle. Their headline finding: GEO techniques can boost visibility by up to 40% in generative engine responses – a different lever from backlinks or page speed, focused on how citable and extractable your content is, not just how authoritative your domain is.
SEO still wins the click when someone wants to browse; GEO wins the mention when someone wants a synthesised answer. Both start from the same page – see our guide on building an AI information page for the practical next step.
Is GEO replacing SEO?
No – GEO adds a new visibility channel on top of SEO, it doesn’t remove the need for it.
The most-cited data point behind the “SEO is dying” narrative comes from Gartner, which predicted in February 2024 that traditional search engine volume would drop 25% by 2026 as generative AI tools absorb queries once run through Google or Bing. As Gartner VP Analyst Alan Antin put it: “Generative AI (GenAI) solutions are becoming substitute answer engines, replacing user queries that previously may have been executed in traditional search engines”. That was framed as a volume shift, not an extinction event, and Gartner’s own commentary points to the fix being better content quality, not abandoning search.
Google’s own guidance backs this up. Its AI features documentation states: “The best practices for SEO remain relevant for AI features in Google Search – there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimisations necessary.” Pages must meet the same technical requirements and already be eligible to rank before they can be pulled into an AI Overview. GEO isn’t replacing SEO – it’s a second scoring round that only content which already passed the SEO round gets to enter.
How do you get cited by ChatGPT and AI Overviews?
Write direct, quotable answers near the top of the page, back them with real statistics and named sources, and mark up the structure so it’s easy for a model to lift cleanly.
Back to the Aggarwal et al. research: two of the most effective techniques tested were “statistics addition” and “quotation addition” – literally adding cited numbers and expert quotes to a passage. Those two methods alone improved performance by 41% and 28% respectively against baseline. That maps to what we recommend: answer the question in the first two sentences under every heading, cite a real number with a source, and include an attributable quote where you can find one. Generic marketing fluff is the easiest content for a generative engine to skip, because there’s nothing concrete to extract.
Structured data still matters – not as a magic AI switch, but because it makes a page’s meaning unambiguous to any crawler, human or machine. We cover the full build in our piece on how to get cited by ChatGPT and AI Overviews. If you’re weighing an internal marketer against a specialist, see what an AEO/GEO agency actually does.
What GEO and SEO have in common
Both disciplines reward the same underlying qualities – expertise, structure, and a genuinely useful answer – because both AI Overviews and classic rankings are pulled from the same indexed, crawled web.
Google is unambiguous about this: AI Overviews and AI Mode “surface relevant links” drawn from Search’s existing index, and a page must already be indexed and eligible to appear with a snippet before it can be pulled into an AI feature. There’s no special schema, no AI text file, and no separate markup required. The overlap includes:
- E-E-A-T signals – experience, expertise, authoritativeness, trust – evaluated the same way for both.
- Technical crawlability: robots.txt, indexing status and page experience all gate both channels equally.
- Internal linking, which helps both a crawler and a generative model understand how your content fits together as a site.
- Link authority: earned links and mentions still function as trust signals feeding both systems, which is why foundational work like UK link building hasn’t gone away, it’s just one input among several now.
Where they diverge is in the last mile of formatting – GEO rewards content that can be lifted cleanly into a two-sentence answer, while classic SEO can still reward a long, exploratory page that keeps someone reading and clicking through internal links.
Should you invest in GEO now?
Yes, but as an addition to your existing SEO budget rather than a replacement for it – and the size of that investment should follow where your queries actually sit.
Pew Research Center’s analysis of 900 US adults’ browsing data from March 2025 found around 18% of Google searches produced an AI summary. Behaviour changes sharply once one appears: users clicked a traditional result link in just 8% of visits with a summary present, versus 15% without one, and only 1% of visits with a summary resulted in a click on a cited source. Searchers were also more likely to end their session entirely (26% versus 16%). If your target queries are the kind that trigger a summary – question-shaped searches did so 60% of the time in the same study – being the cited source is worth real budget, because the click you’d have earned lower down the page may simply not happen any more.
For most UK SMEs this doesn’t mean a separate GEO department. It means folding statistics, named quotes and clear direct answers into the content plan you already run, and treating citation tracking as a new KPI. Unsure whether that’s an in-house job or outside help? See when to hire a marketing agency.
How to measure AI-search visibility
Track citations and mentions across ChatGPT, Perplexity and AI Overviews as a separate metric from rankings, and use Search Console’s existing reporting as your baseline.
Google confirms that pages appearing in AI Overviews and AI Mode are reported within Search Console’s Performance report, under the “Web” search type, alongside classic results – so that’s the first place to look, and it’s free. Beyond that, run your target questions through ChatGPT, Perplexity and Google AI Mode monthly, note whether you’re cited, and track the trend the way you’d track a keyword position. It’s slower than a rank tracker, but automated AI-citation tools are still immature enough that manual checks remain the most trustworthy method for a small business.
| SEO | GEO | |
|---|---|---|
| Primary goal | Rank in the traditional results list | Be cited or quoted inside an AI-generated answer |
| Core ranking signals | Backlinks, technical health, E-E-A-T, relevance | Same signals, plus extractability: statistics, quotes, clear structure |
| Content format that wins | Comprehensive, well-linked pages that keep users reading | Direct, quotable answers near the top of each section |
| Where you measure it | Search Console rankings and clicks, rank trackers | Manual checks in ChatGPT, Perplexity, AI Mode; Search Console “Web” report |
| Typical timeline to results | Months, driven by crawl and authority build-up | Can shift faster once a page is already indexed and eligible |
| Special markup required | Standard structured data (optional but useful) | None – Google confirms no special schema or AI text file is needed |
Frequently asked questions
Is GEO the same as AEO?
Largely, yes – “answer engine optimisation” (AEO) and “generative engine optimisation” (GEO) are used near-interchangeably to describe getting cited in AI-generated answers, whether from a chatbot, a voice assistant or an AI Overview. GEO is the term from the original academic research; AEO is the marketing-friendly label that grew up alongside it.
Will GEO hurt my SEO if I focus on it too much?
No, provided you don’t sacrifice depth for quotability. AI Overviews draw from the same indexed, ranking-eligible pages as classic Search, so the fundamentals – crawlability, E-E-A-T, useful content – still come first. Adding stats and direct answers near the top of a section tends to improve both channels at once.
How long does GEO take to show results?
There’s no independently verified benchmark yet, so be wary of anyone quoting one. In practice it depends on whether the page is already indexed and ranking reasonably well – if it is, adding citable statistics and quotes can shift how AI tools treat it faster than a typical ranking climb, because you’re not waiting on new authority to accrue.
Do I need special schema markup to appear in AI Overviews?
No. Google’s Search Central documentation states that no new machine-readable files, AI text files or special schema.org markup are required – standard structured data that matches your visible content is enough.
Should a small UK business bother with GEO at all?
If customers ask question-shaped queries before buying, yes – those are the query types most likely to trigger an AI summary. If your traffic is mostly branded or transactional, SEO fundamentals will keep doing most of the work, and GEO becomes a smaller addition rather than a priority rebuild.
Get found by both the algorithm and the AI
GEO vs SEO was never really a fight – it’s one content strategy performing in two formats at once. Businesses that treat citation-ready, statistic-backed, clearly structured content as the baseline tend to show up in both places, because that’s what Google and generative engines are already built to reward. We build that strategy for UK businesses end-to-end, delivering an average of 341% organic growth across 30+ projects in 9+ markets. If you want a plan that covers rankings and AI citations together, get in touch with WiseGuyXL.
Related reading: How to get cited by ChatGPT and AI Overviews and what an AEO/GEO agency actually does.
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