WTF is GEO? How to stay visible in AI search

This guide breaks down what generative engine optimisation (GEO) really means, how it’s different from traditional SEO and related acronyms, and why SEO fundamentals still matter more than ever. Updated for June 2026, it also covers the rise of agentic search, what Google’s first official AI guidance means for your content strategy, and why retailers investing in product data today are building a long-term competitive advantage.

Whether you’re a head of digital, a content specialist or an evolving SEO specialist, this guide will help you stay visible in a world of AI-generated answers.

What is generative engine optimisation (GEO)?
GEO vs SEO: what’s the difference?
GEO vs AIO, AEO and SXO explained
Why SEO is still the foundation of GEO
What GEO looks like in practice
What to avoid when optimising for generative engines
GEO best practices for 2025 and beyond
Frequently asked questions about GEO
Glossary: GEO, SEO, AIO, AEO and SXO

What is generative engine optimisation (GEO)?

Generative engine optimisation (GEO) is the process of improving your content’s visibility and usefulness in generative AI search engines and assistants. These include platforms like ChatGPT, Google’s AI Overviews and AI Mode, Perplexity, Claude and others, including GPTs specific to certain sector verticals.

Unlike traditional search engines that return a list of clickable links, generative engines synthesise answers using content from across the web. GEO focuses on helping your content get surfaced, cited and used in these AI-generated responses.

In 2026, a new dimension has emerged: agentic search. Tools like ChatGPT agent and Google’s Search agents don’t just answer questions – they browse the web, compare options and complete tasks on behalf of users. Optimising for these systems requires content that is structured, verifiable and machine-readable, not just answer-ready.

In short: GEO is about making your content AI-friendly, answer-ready and easy to summarise and action.

GEO vs SEO: what’s the difference?

Let’s be clear: GEO is not a replacement for SEO. Where people conduct their searches may be expanding, but the foundations of how we ‘get found’ remain the same.

GEO builds upon strong SEO fundamentals – things like crawlability, structured content and clear hierarchy – but goes a step further to ensure your content works in zero-click environments.

SEO	GEO
Optimises for rankings in Google	Optimises for citations and summaries in AI-generated answers
Focuses on keywords and SERP intent	Focuses on entity clarity, promptability, and helpfulness
Measures rankings, impressions, clicks	Measures visibility in LLMs, AI citations, user engagement
Relies on search engine crawlers	Relies on AI crawlers and answer generation models

In May 2026, Google published its first official guidance on optimising for generative AI. Its verdict confirmed what good SEO practitioners already knew: AI Overviews and AI Mode are rooted in the same core ranking and quality systems as regular Search. Good SEO is still GEO’s foundation. The guidance also clarifies the mechanics: AI features use retrieval-augmented generation (RAG) and ‘query fan-out’, breaking a single question into multiple related sub-searches and synthesising the results. This is why content needs to be relevant across a cluster of questions, not just a single keyword.

Key takeaway: good SEO gives you a head start, but GEO demands a new layer of optimisation that’s focused on how content is read and reassembled by machines, not just humans.

GEO vs AIO, AEO and SXO explained

In this rapidly evolving space, there are a lot of new names and acronyms flying around. Let’s quickly demystify some of the other acronyms you might be seeing.

AEO (Answer engine optimisation)

AEO focuses on helping your content appear as direct answers in tools like Google’s featured snippets, Siri or Alexa. It’s about brevity, factual accuracy and structured data – great for short answers, but limited when long-form synthesis is needed.

AIO (AI optimisation)

This one can mean different things, so be aware. AIO can refer to the process of optimising content for AI consumption, and sometimes it refers to content written with the help of AI tools like Gemini. Use this one with caution.

SXO (Search experience optimisation)

SXO combines SEO with UX and conversion optimisation. It’s about making sure visitors don’t just land – that they stay, engage and convert. While not focused on AI, it complements GEO by improving on-site value and user satisfaction. SXO is a term I saw for the first time this year on a webinar, but it’s not an acronym we use at Luminary; instead, we think of the user journey more holistically, with search engines and AI-powered chat being two possible starting points.

Why SEO is still the foundation of GEO

Here’s the reality: you can’t win at GEO without a solid SEO foundation.

This is nicely summarised by a meme (of course) shared by Mark Williams-Cook, SEO and owner of Candour, that made me snort-laugh:

Generative AI models rely on content that is:

Crawlable and indexable
Organised with clear headings and structure
Trusted, consistent, and topically rich
Updated and well-maintained
Written in natural, clear language.

Sound familiar? All the SEO, content and accessibility best practices you’ve been taught still hold true in the world of AI-powered search. Phew.

Conversely, the issues you may have faced in SEO can also limit your visibility in LLMs. If your website is a mess technically or your content is thin and outdated, you’ll struggle to appear in generative answers, regardless of how clever your prompts or tactics are.

(If your SEO fundamentals need a refresh – things like crawlability, internal linking and structured content – our SEO services cover exactly that.)

Emerging technical tactics specific to GEO

It’s worth noting that GEO has introduced a few new tactics that build on your SEO foundation, but there are specific use cases when these may be necessary.

Two you may have heard about:

1. llms.txt and llms-full.txt
These optional files can be added to your site to guide large language model crawlers to the best content for LLMs to access and summarise. They’re especially useful if your site has complex architecture, rendering issues or high compliance requirements, or if you're seeing issues with how AI tools are interpreting your pages.

Note: Google Search Central’s May 2026 guidance says Search does not require llms.txt, as it already indexes the full public web. The Chrome team’s Lighthouse audits, published the same week, recommend it for agentic browsing readiness – two different audiences, not a contradiction. The file is most useful for AI agents acting on your site at inference time (like ChatGPT agent), not for Google’s own crawlers.

2. Advanced schema markup for entity signalling
Schema.org markup is more valuable than ever. Using types like Organization, Person, FAQPage and HowTo, and linking them to known entities via sameAs, helps LLMs understand and correctly attribute your content. It’s a relatively low-effort way to reinforce your brand, authors and content topics across the generative web.

What GEO looks like in day-to-day practice

Optimising for generative engines means rethinking how you structure, write and monitor content, with some tweaks to what you’ve (hopefully) been doing to date.

1. Write with promptability in mind

Use clear, question-based headers and direct answers that LLMs can easily extract. Think FAQ-style content, crisp summaries and structured sections. This can mean dialling back your marketing language and leaning more into straightforward, easily readable content. (Good copywriting can help you retain your brand tone of voice.)

2. Prioritise entity clarity

Make it easy for AI systems to understand who you are, what you do, who you service, and what you’re known for – these are known as your 'entities'. Use consistent, specific naming conventions. Link to authoritative sources where relevant.

You’ll notice that on Luminary’s website, we talk about our agency, our people, our services, the technologies we specialise in, the industries and clients we support, our case studies, topics of authority (our Insights), etc. Although we did this long before GEO came along, having this context is good for GEO because it helps AI make sense of who we are and how we fit into the world.

3. Build topical authority

Generative engines favour trusted sources with deep, consistent coverage on a topic. That means building hubs of content that go beyond one-off blog posts – both on your own site and on trusted publications that LLMs are likely to cite.

Tip: LLMs also have a bias toward recency, so ensure your content governance includes both producing new content and keeping older content up to date.

4. Optimise for zero-click search experiences

Since AI Overviews launched, websites have seen a drop in clicks (at Luminary, we’ve seen a range of anywhere from 10–30 percent fewer clicks). This is supported by a July 2025 report from the Pew Research Center, which found that Google users are more likely to end their browsing session entirely after visiting a search page with an AI summary than on pages without a summary.

By early 2026, AI Overviews were appearing on upwards of 55–57 percent of Australian searches. Google I/O in May 2026 confirmed AI Mode has surpassed one billion monthly users globally, with queries more than doubling every quarter since launch.

Source: Google, May 2026 (Writtenlyhub)

5. Structure your content well

Generative engines segment and interpret content differently than humans. The clearer your structure, the easier it is for LLMs to extract and summarise the right information. Best practices:

Use semantic HTML and a clear heading hierarchy (from H1 to H4, in the right order)
Keep paragraphs short (ideally 1–3 sentences)
Break up dense text with bullet points or numbered lists
Include a concise intro and summary on each page
Use tables or comparison blocks for clarity where relevant
Link logically to related content, especially within defined topic clusters.

6. Monitor AI visibility

Check your server logs for AI bot visits and review your website analytics tools for human traffic from AI-powered search. If you use Cloudflare, check your configuration because a default change in 2025 began blocking AI crawlers, which may have suppressed your visibility without warning.

You may also want to invest in one of the new AI visibility analytics tools that have emerged, like Scrunch or Profound, or upgrade to an AI package in your existing SEO tool like Ahrefs (Brand Radar) and SEMrush (AI Toolkit). Otterly.ai has also emerged as a dedicated GEO monitoring platform worth evaluating.

One significant development to watch: Google has begun rolling out AI Overview impression data in Search Console, giving us a direct feedback loop for AI visibility on Google for the first time – something currently only available through third-party tools.

What to avoid when optimising for generative engines

At the risk of sounding repetitive: don’t abandon SEO. Skipping technical hygiene, structured data or keyword research can hurt both traditional and AI visibility. But don’t take my word for it – explore Google’s top ways to ensure your content performs well in AI experiences.
Don’t game the prompt. Stuffing pages with artificial prompt phrases is short-sighted and likely to backfire (keyword stuffing 2.0).
Don’t publish thin content. Generative engines value depth, not filler. Avoid surface-level fluff or AI-generated spam. Think about what your customers need and what pain points they have. In conversational search, users tend to add considerably more detail than a traditional Google search, so use your biggest asset – your deep industry knowledge – to answer nuanced questions.

GEO best practices for 2026 and beyond

Conduct regular SEO/GEO audits and improve your site’s technical health
Use headers, summaries and FAQs to make content prompt-friendly
Prioritise clarity over cleverness – write for machines and humans (shoutout to copywriters: what you do is an artform!)
Update and expand top-performing pages regularly
Align content with how people ask questions, not just how they search
Build authority around defined topic clusters
Track LLM citations and AI bot visits over time.
Check your Cloudflare configuration (if you use it) – a default change in 2025 began blocking AI crawlers. If you haven’t reviewed this, you may be invisible to AI platforms despite strong content.
Structure content for agentic systems as well as human readers: pricing tables, feature comparisons and sourced statistics that agents can extract and use in task flows.
Build your entity presence off-site, not just on it. AI systems develop understanding of your brand from across the whole web. Unlinked brand mentions, industry publications, review platforms and knowledge graph entries all contribute to entity authority.
For retailers: activate free listings in Merchant Center, complete your product attribute data, and watch for the AI Performance Insights report rolling out to Australia in the coming months.
Monitor your AI Overviews impression data in Search Console and Top Pages reports in Bing Webmaster Tools to get a sense of page-level visibility in AI search.

FAQs about generative engine optimisation

Is GEO just SEO with expensive AI tools?

No. GEO is about making your content perform better within generative engines. Tools can help, but you can go far with what you already have access to today.

Do I need to change all my old content?

No. Start by updating high-performing and high-priority pages with better structure, answers and topical depth. Do what’s manageable.

Will Google penalise me for optimising for AI?

There’s no penalty for making your content easier to understand, summarise and cite. In fact, it has the potential to improve your E-E-A-T signals.

Can I track GEO performance in Google Analytics?

Not directly. GEO benchmarking and reporting often involves analysing citations and using prompt-based visibility checks across AI platforms.

How do I identify gaps in my generative engine visibility?

Start with a prompt audit: manually test 10–20 of your most important queries in ChatGPT, Perplexity, Google AI Mode and Gemini. Note where competitors appear and you don’t. Then check your server logs for AI bot visits – if crawlers aren’t visiting, you’re invisible to those platforms regardless of content quality. Tools like Scrunch, Profound, Otterly.ai and the AI packages in Ahrefs and SEMrush can automate this at scale and give you share-of-voice data over time.

What is a GEO framework?

A GEO framework is a structured approach to optimising content for generative AI. At Luminary, we think about it across five pillars: (1) technical foundation – ensuring AI crawlers can access and index your content; (2) entity clarity – making it easy for AI to understand who you are and what you do; (3) topical authority – deep, consistent coverage on your core topics; (4) content structure – clear headings, FAQs, summaries and answer-first formatting; and (5) AI visibility monitoring – tracking citations, share of voice and AI bot traffic over time. Strong SEO underpins every pillar.

What does GEO mean in AI search?

In the context of AI search, GEO (generative engine optimisation) refers to the practice of structuring and writing content so that AI platforms like ChatGPT, Perplexity, Google AI Mode and Claude cite and surface it in their generated answers. Unlike traditional SEO, which targets rankings in a list of blue links, GEO targets visibility inside the AI-generated response itself – the summary, the recommendation, the cited source. Same goal (be found), different playing field.

What is agentic search and how does it affect GEO?

Agentic search refers to AI systems that don’t just answer questions but actively browse the web and complete tasks on behalf of users. ChatGPT agent (which merged Operator and deep research in July 2025) and Google’s Search agents are the leading examples. For GEO, this raises the bar: agents look for structured, machine-readable, verifiable content. Clear pricing tables, feature comparisons, step-by-step instructions and sourced statistics are more valuable than ever. If an AI agent can’t parse and use your content in a task flow, it won’t recommend you.

Glossary: decoding the GEO alphabet soup

GEO: Generative engine optimisation
SEO: Search engine optimisation
AEO: Answer engine optimisation
AIO: AI optimisation (vague term, often misused)
SXO: Search experience optimisation
LLM: Large language model (used in generative AI platforms like ChatGPT and Claude)
E-E-A-T: Experience, expertise, authoritativeness, trustworthiness (Google’s quality framework)
AI Mode: Google’s conversational search interface, powered by Gemini, that synthesises multi-step answers rather than returning a ranked list of links. Launched in Australia in October 2025.
Agentic search: AI systems that don’t just answer questions but actively browse the web, compare options and complete tasks on a user’s behalf. ChatGPT agent and Google’s Search agents are the leading examples.
RAG (Retrieval-augmented generation): The mechanism behind AI Overviews and AI Mode, where the AI pulls ranked pages from the Search index and grounds its generated response in that retrieved content.
Query fan-out: Google’s technique of breaking a single user question into multiple related sub-searches simultaneously, then synthesising the results. Why content needs to be relevant across a cluster of topics, not just one keyword.
Zero-click search: A search session where the user gets their answer directly from the results page via an AI Overview, featured snippet or similar – without clicking through to any website.
Entity authority: A measure of how well AI systems understand who your brand is, what it does and what it’s known for. Built through consistent naming, structured data, and mentions across trusted third-party sources.
Shopping Graph: Google’s dynamic product index of over 50 billion listings, updated hundreds of millions of times per hour. Merchant Center feeds are the primary data source; AI Mode reads from the Shopping Graph, not directly from retailer websites.
UCP (Universal Commerce Protocol): An open standard co-developed by Google and Shopify that gives AI agents a common language to interact with merchant checkout systems, enabling agentic shopping and automated purchase flows.

Final thoughts

Generative engine optimisation is not a trend; it’s a logical response to how search is evolving. As people turn to AI assistants and chat-based tools for answers, the old SEO playbook needs an update.

The good news is we don’t need to start over. In fact, if you’ve been investing in good SEO (high-quality content, user experience and technical foundations), you’re already halfway there.

Now it’s time to go further: think beyond rankings and start optimising for how content is assembled, summarised and cited in a world of zero-click search.

Interested in exploring how GEO can work for your business? Get in touch to discuss a GEO benchmark report or GEO audit and strategy, or learn more about our GEO services.

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Here’s how leaders and digital teams should respond.\n","blogUrl":"/blog/micro-retirements-what-this-emerging-trend-means-for-digital-strategy","isFeatured":false,"authors":{"publishDate":"28 September 2025","readingTime":5,"authors":[{"authorName":"Emma Andrews","authorUrl":"/emma"}],"authorImageUrl":"https://assets-us-01.kc-usercontent.com:443/90e79cae-25c6-00b5-6f5b-27efe5c250ab/b5cb5d7a-0830-4bc9-88d7-f9008ff59bd7/Emma_thumb.jpg?w=90&h=90&fm=webp","authorAlt":"Emma Andrews"},"readingTime":5,"tags":[{"name":"Strategy","codename":"strategy"}],"img":{"src":"https://assets-us-01.kc-usercontent.com:443/90e79cae-25c6-00b5-6f5b-27efe5c250ab/37020a30-3f12-4bbc-8ac7-4c950cb7ab71/pexels-pixabay-413960.jpg?h=350&fm=webp","alt":"Camera, hat and cocktail.","width":1598,"height":900},"lastModified":"2025-09-30T01:43:05.3040963Z","codeNameHeroImage":"hero_image","codeNameTitle":"title"},{"itemId":"27e2d5e2-6c71-4862-bafb-13b000b9eee0","title":"Luminary achieves Optimizely Platinum Partner status","introduction":"Achieving this milestone reflects years of commitment to delivering innovative, high-impact digital experiences for our clients, as well as a deep investment in building expertise across the Optimizely product suite.","blogUrl":"/blog/luminary-achieves-optimizely-platinum-partner-status","isFeatured":false,"authors":{"publishDate":"31 August 2025","readingTime":3,"authors":[{"authorName":"Marty Drill","authorUrl":"/marty"}],"authorImageUrl":"https://assets-us-01.kc-usercontent.com:443/90e79cae-25c6-00b5-6f5b-27efe5c250ab/70a3ac0b-1f44-4b3e-abea-2117d3ac9c5d/Marty_thumb.jpg?w=90&h=90&fm=webp","authorAlt":"Marty Drill"},"readingTime":3,"tags":[{"name":"Awards","codename":"awards"},{"name":"Optimizely","codename":"optimizely"}],"img":{"src":"https://assets-us-01.kc-usercontent.com:443/90e79cae-25c6-00b5-6f5b-27efe5c250ab/32512f79-bb3e-4325-ada6-6caec0859b73/Luminary%20receiving%20Opti%20One%20Partner%20Award%202025.jpg?h=350&fm=webp","alt":"Luminary receiving Opti One award 2025","width":1600,"height":900},"lastModified":"2025-09-01T05:42:54.104267Z","codeNameHeroImage":"hero_image","codeNameTitle":"title"},{"itemId":"4f646f5b-4351-4d0a-ba09-4bb1848c6638","title":"How to choose the right CMS","introduction":"You’ve decided you need a new Content Management System – but where do you start in deciding which one to go with? 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WTF is GEO? A guide to staying visible in AI search

Table of contents

What is generative engine optimisation (GEO)?

GEO vs SEO: what’s the difference?