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What is GEO? Dig & Dig
Content Marketing

GEO: The buzzword dominating your LinkedIn feed — but what actually is it?

Anit Virdee - Dig & Dig

Avit Virdee

AI traffic is rising rapidly, but most teams still don’t know how to leverage it.

Over the years, we have seen a constant shift in the world of search, and now with AI search engines coming into the mix, we’ve seen a huge shift in the way traffic is being driven to a website. A recent study showed that AI referred sessions increased by 527% year-on-year in the first five months of 2025. This proves that there’s been a big shift in how people are now searching and finding information. 

Over the last year or so, Generative Engine Optimisation (GEO) has become one of the most spoken about topics in marketing. When we now scroll on LinkedIn, we see lots of information about GEO and how to navigate it, but the issue is that there’s way too much information out there. How do we know what is what? 

In this blog post, we will cover what GEO is, the buzzwords around it and how you SEO and GEO work hand in hand.  

What is GEO? 

GEO, or Generative Engine Optimisation, is a strategy aimed at increasing your visibility on AI-powered search platforms. This includes being referenced on tools like ChatGPT, Perplexity, Google AI Overviews, and other AI search engines. The approach focuses on building online authority and strengthening your content so your website is recognised as a credible, trustworthy source for AI systems to cite. 

How GEO works 

As well as content optimisation, there are several technical SEO elements that can influence whether your site is cited by AI search engines. Structured data, for example, helps AI systems understand the key information on your pages and how different pieces of content relate to each other. Internal linking also plays a role: linking related pages signals topic authority and helps both humans and AI navigate your content more easily. 

Other factors include page speed, mobile usability, and clear site architecture. While these are standard SEO practices, they become even more important in a GEO context because AI systems tend to prioritise content that is not only relevant but also trustworthy and well-organised. Essentially, the better your site is structured and the easier it is for AI to parse your content, the higher the chances it will be referenced in generated answers. 

Why terminology causes more confusion than clarity 

You may have seen other buzzwords on your social media or online, which might make you think there are so many strategies to take into consideration, this is way too much work! 

Some of these include terms like: 

  • AEO also known as Answer Engine Optimisation 
  • LLM SEO also known as Large Language Model Search Engine Optimisation 
  • GSO also known as Generative Search Optimisation 

If we take a step back and look at the interpretation of these, they are all basically the same thing – which is to help your brand or website get referenced by AI, whether it’s on Google’s AI Overviews or other AI search engines.    

What is GEO? Dig & Dig

GEO isn’t about reinventing the content wheel; it’s about refining existing content practices so your material is more likely to be surfaced and trusted by AI. When the jargon is stripped away, the focus becomes straightforward: make your content clear, credible, and structured in a way that both humans and AI can use. 

Avit Virdee, Senior SEO Account Manager

This also explains why so many discussions on LinkedIn and industry blogs feel confusing. The core principles are simple, but the naming conventions make them seem technical or out of reach. Teams that recognise this early can skip the noise and start applying practical steps that actually make a difference, rather than getting caught up in terminology. 

Key takeaway for in-house teams: Ignore the buzzwords, and focus on getting your brand referenced on AI Search Engines.  

GEO isn’t a replacement for SEO 

As we have already clarified, GEO is about making your content easy for AI systems to find, understand, and reference. Unlike traditional search, where pages compete for clicks, AI platforms generate answers. The goal isn’t to “trick” an algorithm; it’s to create content that is clear, accurate, and genuinely useful so it can be included in those answers. 

Tools like ChatGPT, Perplexity, Google AI Overviews, and other AI search engines don’t simply list links. They scan content, assess its credibility and relevance, and then summarise or cite the most useful sources. If you want to be referenced on AI search engines, then you need to ask yourself these questions:  

  • Does my content align with what my audience wants to learn about?  
  • Does it show that I am an expert in my subject matter?  
  • How is it different to all the content that is out there? 

Being referenced on AI search engines isn’t about shortcuts; it’s about having content that stands out for quality and clarity. 

There’s a growing narrative that SEO is on its way out. It’s not accurate, but it’s easy to see why it’s gaining traction. 

Let’s take a step back and look at how AI search engines gather information. They rely on what’s already published online, with the key factors being high-quality content, structured data, and credible sources. This is where SEO plays a crucial role. GEO and SEO shouldn’t be treated as separate strategies; they work best when integrated. The same principles that help a page rank, which are things like clear headings, well-structured content, and trustworthy information, also increase the chances of your content being cited by AI. 

To simplify the objectives of SEO & GEO, we can say that: 

  • SEO helps you get visibility in search results 
  • GEO helps you get pulled into AI-generated answers 

The key point is that both rely on the same underlying signals. If your content is clear, well-structured and genuinely useful, it’s already doing most of what GEO requires. 

Content is king for AI search engines 

AI platforms do not rank pages like Google. Instead, they retrieve relevant information, evaluate it, and generate responses based on their findings. 

Content is referenced when it meets several criteria: 

  • It answers a specific question clearly and early 
  • It shows depth or genuine expertise, not just surface-level coverage 
  • It comes from a source that appears credible and consistent 
  • It’s structured in a way that’s easy to interpret 

This is where a lot of brands fall short. Content that’s written to “rank” without actually saying anything new doesn’t give AI systems much to work with. 

Key takeaway for in-house teams: focus on enhancing how content is written and structured so it’s recognised as authoritative and easy for AI tools to use, while remaining clear and readable for human visitors. 

A checklist for in-house teams 

This is where it’s easy to overthink things. You don’t need a completely new framework, but you do need to tighten the process for creating content. 

Below is a checklist of the areas that in-house teams should be focusing on: 

  • Writing with clear intent: each page should answer a defined question or need 
  • Structuring content properly: headings, flow and readability matter more than ever 
  • Adding original input: this could be insight, opinion, or real examples 
  • Building consistency: publishing credible content over time strengthens trust signals 
  • Prioritising depth: fewer, stronger pieces will outperform high-volume filler 

One practical step that’s often overlooked is tracking AI referral traffic. Even if volumes are still small, it gives you a baseline and helps you spot early movement. 

The bigger picture 

The 527% growth in AI-referred traffic shows that behaviour is shifting, but it doesn’t mean everything changes overnight. 

Right now, the gap isn’t about who has the most advanced GEO strategy. It’s about who is producing content that’s actually worth referencing. 

Stripped to its core, the principle is simple: clear, credible, and genuinely useful content is more likely to be referenced by search engines or AI tools. 

Final thought 

GEO is not a separate channel to add. It is a natural extension of effective SEO practices. 

The teams that will benefit most aren’t the ones chasing new terminology. They’re the ones focusing on content quality while the rest of the industry is still trying to define it. 

More from us

At Dig & Dig, we help ambitious brands stay ahead in a search landscape that’s shifting faster than ever. As discovery moves into AI-driven environments, you need partners who understand not just how to rank, but how to earn relevance, authority, and visibility inside the systems reshaping user behaviour. We combine decades of search experience with a deep focus on AI-era optimisation to uncover the opportunities others overlook.

If exploring how generative engines are changing visibility sparked ideas for your own roadmap, you may also want to see how we support brands with end‑to‑end GEO readiness and a holistic search strategy. It’s where our blend of data fluency, creative thinking, and precise execution helps you show up confidently, wherever modern users make decisions.

Get in touch today at hello@diganddig.com.

About the author

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Avit Virdee - Dig & Dig

Avit Virdee

Senior SEO Account Manager

Avit Virdee is a Senior SEO Account Manager, specialising in SEO/GEO content strategies, technical SEO and international optimisation. With experience across ecommerce, B2B and local business sectors, she has delivered measurable growth for clients including HiPP Organic, Victoria Beckham Beauty, Jon Richard and others. Skilled in data-led strategy, Avit creates tailored strategies that connect audiences with brands in meaningful ways. Known for her collaborative approach and client-focused mindset, she is passionate about driving sustainable growth through data-driven SEO.