Let’s be honest: “GEO” still sounds like a new sauce on an old burger. But if you handle it well, it’s really just a sharper way of doing what we already know from SEO: build content that is accurate, helpful and traceable. The difference is that you are not only trying to rank a page. You want your source to be used in AI-generated answers. And that’s a different game, with different pitfalls.
In this article, we’ll walk you through GEO step by step. You’ll get a practical strategy, including what does work, what is often nonsense and what your next step is if you want to see results in your content approach tomorrow already. We’ll keep it concrete, so you can put it into action without having to sell “AI talk” in your team meeting.
GEO in plain language, what it is and why it matters now
GEO stands for Generative Engine Optimization. Many people use it to describe how you present and organise content so it can be included more easily in answers created by generative AI systems. Think cited sources, background information and “in short, here’s why” in AI answer panels.
Google has also said something about this: terms like Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) are circulating, but according to Google you cannot rely on “tricks” that are separate from the core of good visibility. The common thread remains, according to Google: focus on effective, reliable SEO and avoid hacks that do not fit the way Search works. (developers.google.com)
Why GEO is not the same as SEO
With SEO, the focus is often on ranking, click behaviour and search intent at page level. With GEO, the focus shifts to citation chance and extractability. An AI system must be able to find, understand and use your information in an answer. That means your content must not only be “findable”, but also clearly structured, factually consistent and complete enough to serve as a source.
So what is the core of GEO?
- Accessible content: AI systems must be able to retrieve your source without unnecessary barriers.
- Reliable information: you want claims to be verifiable within your own page and, where relevant, to refer to primary sources.
- Structure: information needs to be “split-able” into meaningful chunks (concepts, steps, definitions, specifications).
- Consistent entities: your site should clearly communicate who, what, when and in which context.
If you are already working on SEO, you’ll recognise this. Only now the benchmark is not just “do I see traffic”, but “am I a logical source in an AI answer”. That calls for a content and technical foundation that is just a little tighter.
What works in GEO, practically and in a way you can actually do
Alright, coffee’s ready, now for the good part. Below are the things that most often make the difference in practice. Some are familiar from SEO. That is no coincidence. GEO builds on the same basis, but you steer it more deliberately.
1) Make your content source-worthy, not just click-worthy
AI answers often need three things: definitions, support and context. That is why content that includes these parts in a natural way works well.
What you can do concretely:
- Write your most important pages with clear headings, so someone (and a system) can follow the logic.
- Add “mini-definitions” to core concepts (1 to 3 sentences, without sales talk).
- Use step-by-step sections where your intent is “do this” (for example installation, implementation, process).
- Support important claims with explanation and, where appropriate, external references.
Google also warns about content that is produced at scale with little originality or little added value. That counts especially hard when you write content “for AI” but it remains empty on the inside. (developers.google.com)
2) Optimise for extraction, with a tight information architecture
Extraction is not some magical term. It means: your information must be presented in such a way that it can be lifted out in pieces without breaking the meaning.
Practical checklist:
- Make the first paragraph supportive of the rest of the page, not just an introduction.
- Use lists for steps, conditions and variants.
- Avoid hiding crucial details in huge blocks of text without subheadings.
- Make sure definitions do not contradict later sections.
If you want, you can approach this like a “summary machine”. If someone can summarise your page in five bullets without losing information, then the chance that you can also serve as a source in AI answers is higher.
3) Use structured data by the rules, not as a checkbox machine
Structured data helps systems interpret your page better. Google publishes general structured data guidelines, including the use of schema.org types and properties that fit your content. (developers.google.com)
What usually works here:
- Use schema.org where it makes sense from a content perspective (for example FAQs, HowTo, organisation details).
- Choose the most specific types and properties that match your page.
- Keep it consistent with the visible content on your page.
Important nuance: structured data is rarely a “switch it on and you’re done” solution. It is an extra signal within a broader whole. That is why we always combine it with content quality and technical accessibility.
4) Minimise friction for crawling and understanding
If an AI system cannot fetch your page properly, or if content is hard to interpret, GEO becomes a sport without a ball.
In practice this means:
- Work with clear internal links to your core pages.
- Avoid important content being available only through highly dynamic rendering, without fallback.
- Make sure your technical base is SEO worthy (indexability, canonical, fast loading where you can influence it).
Google also has specific guidelines around using and placing generative AI content on your site. It is not about “switching AI on and done”, but about quality rules and preventing misleading or worthless content. (developers.google.com)
What often does not work and why it wastes your time
You can treat GEO as the “new SEO” and unfortunately people often go too far with that. Not because they are stupid, but because the temptation of quick tactics is strong. Let’s list the most common misunderstandings.
1) “Chunking” and loose AI tricks
Google explicitly says that many popular GEO or AEO hacks are not effective or are not supported by how Search works. For example: chunking content, creating unnecessary AI text files like llms.txt, or chasing inauthentic mentions. (developers.google.com)
Translated into your agenda: if your team puts energy into this without improving your content foundation, you probably win nothing except arguments.
2) Creating content “for AI”, with weak substance
This is where you can waste the most money and time. AI can only use what is actually on the page. If a page is generic, not original, or adds barely any value, the chance that you will be selected as a source is small.
Google’s guidance around generative AI content is clear about quality and the abuse of scaled content. (developers.google.com)
We’ll say it warmly, but directly: “more words” is not a strategy.
3) Putting structured data in place without a content match
If your markup says you offer something, but the page does not really deliver it, the signal becomes less reliable. And in the worst case, it works against your reputation and interpretation.
So use structured data as a reflection of what is there, not as marketing copy in machine language. Google’s structured data guidelines underline the importance of correct types and properties. (developers.google.com)
The GEO approach in 30 days, from audit to optimisation
Of course you want a plan. Not a manifesto. Below is an approach we often use as “first traction”. You can run it in 30 days, and it forces you to make choices. That is where return is created.
Week 1: Choose your GEO goals and your top sources
We start with priority, not with SEO intuition.
- Choose 5 to 10 topics where you have an edge (expertise, products, process knowledge, data).
- Decide which pages already fit those topics today (landing pages, knowledge articles, how-to’s).
- Create a “source quality check”: can you summarise each topic in 5 bullets without missing facts?
If you struggle with this step, that is no shame. It just tells us right away where the content base is still weak.
Week 2: Improve the content for extraction and citation chance
For each page, we do at least one content upgrade and one structure upgrade.
- Content: add definitions, assumptions, boundaries and steps. Close open ends.
- Structure: make headings logical, place lists in the right spots, and ensure consistency.
If you want to build a broader foundation around discoverability, it can help to sharpen your SEO approach in parallel too. Useful if you want direction: SEO in practice: strategy, execution and growth. That is not GEO, but it works as fuel.
Week 3: Get the technical setup and structured data right
Here we tackle the points that improve your chance of interpretation.
- Check indexability, canonical and internal links.
- Add only structured data that fits the page content.
- Validate that your markup does not promise things that are not visible.
For structured data and schema.org, it is especially important to use correct types and properties. (developers.google.com)
Week 4: Measure, learn, scale
We measure in layers. You cannot always see one-to-one whether an AI answer cited your source. But you can measure behaviour and proxies.
What you can measure:
- Indexing and crawl status (technical and fast).
- Organic traffic on the improved pages.
- Engagement and assists in your content funnel.
- A qualitative review of how your content “survives” summaries (through internal checks and tests).
If your content also comes in via marketing channels, it makes sense to use your GEO-strong pages as the basis for campaigns. For example, think of paid campaigns or email nurturing. If you want to make the marketing side practical, you can align your knowledge of Sea and search better with Sea: meaning, types and smart marketing tips and the execution with Google Ads explained: strategy and practical steps.
What is your next step, choose one page and make it source-strong
If you walk away with one action, make it this: choose one page that already has traffic and interest, and make it explicitly source-worthy.
The 60-minute task for tomorrow
- Reread your page and write a summary of 5 bullets. If the bullets do not match, go back and fix the core.
- Add a “definition block” next to the main concept, maximum 3 sentences.
- Break your steps up into clear subheadings. Add every risk or condition.
- Check whether the page is complete for a first answer. An AI prefers one complete source over ten half-measures.
After that, only then do you plan scale. Not because scale is bad, but because learning per page is faster. And because quality always remains the foundation. Google’s guidance on generative AI content and scaled content abuse is strict for a reason. (developers.google.com)
Where GEO fits in your marketing mix
GEO is not a separate channel where you attach a budget. It is a way of steering your content toward AI answer context. In practice, it works best as part of your broader content and marketing machine.
For B2B and B2C: same principles, different tone
The content principles stay the same: clear, complete, factual. The execution differs.
- B2B: focus on process, integrations, implementation and “what happens if” scenarios.
- B2C: focus on buying guidance, use and expectations (what do you get, when, and how does it really work).
Use your GEO pages smartly in your other steps
A common mistake is creating a strong source page and then leaving it sitting there only as a blog post. We do it differently. We reuse it.
For example:
- Use GEO pages as the basis for email flows (education, comparison, next step).
- Use key sections as input for ad copy that sends the user to your source.
- Automate distribution where you can, so you do not have to babysit it manually.
If you really want to build email as a system, then Email Marketing: Complete Strategy Guide (B2B and B2C) is a good practical framework. And for scale via flows: Marketing Automation: Efficiency and growth through smart flows.
Frequently asked questions about GEO without the sales pitch
Is GEO the same as AEO or AI SEO?
The terms overlap, but the core is similar: you optimise content so it can be used in generative AI answer context. Google does warn that not every “AEO/GEO hack” fits how Search works. (developers.google.com)
Do I need structured data for GEO?
Not by definition. It is often useful, though, because it can improve interpretation. But it never replaces content quality. Use structured data only where it is content-wise correct, according to schema.org and the guidelines. (developers.google.com)
How quickly do you see results?
Be realistic. Your results depend on indexing, content changes and how often your pages are revisited. I cannot make an exact “within X days” promise, because that would not be trustworthy. What does help is a short cycle: revise, publish, measure proxies and improve again.
Should I hire an expert?
If your team has limited capacity or if GEO becomes part of a larger SEO and content rebuild, external help makes sense. If you are considering that, agreements and expectations help prevent disappointment. Good starting point: Hiring an SEO Specialist: What You Need to Watch.
Conclusion, GEO is not a trick, it is content discipline
If you bring GEO back to the essence, it is this: you make your content strong enough that AI systems want to use it as a source. And yes, that requires the same foundation you need for SEO, but it also forces you to be clearer faster about structure, completeness and reliability.
Our recommendation for your next step is simple: choose one page, make it source-worthy in 60 minutes, validate your structure and, where logical, structured data. Then measure via proxies, learn and only scale once your quality is in order.
And if we go back to the coffee feeling one more time: GEO is not a magic button. It is discipline, carried out by someone who understands how people search and how systems summarise information. That is boring. And that is exactly why it works.
Small side note, because you asked without asking: if you want more context on the bigger picture, then SEO in 2026: practical guide for growth with focus is a useful addition. And if you want to streamline internal processes so you can iterate faster, also take a look at Automation: Making Processes More Efficient, Hub-brief.
If you want to apply the “GEO” label in your own way within your organisation, start with a clear definition structure and reusable source pages. If you do that well, you get most of the gain. The rest is polish.
