GEO
What is GEO? Optimising content for AI in 2026
GEO, or Generative Engine Optimisation, helps AI systems understand and cite useful content. Learn how it relates to SEO and where to start.
Key takeaways
- GEO means preparing useful, clearly structured information for generative search systems.
- GEO does not replace SEO. A strong foundation still includes crawlability, useful pages, links and good user experience.
- AI systems are more likely to use content that answers a specific question, shows evidence and makes its source clear.
- Local businesses should focus on real services, locations, examples and questions their customers actually ask.
What is GEO?
GEO stands for Generative Engine Optimisation. It describes the work of making a website easier for AI systems to interpret when they prepare an answer for a user. Depending on the product, that can mean retrieval, a citation, a link or a summary based on the page.
GEO is not a secret set of phrases that forces an AI system to mention a brand. It is a content and technical discipline: define the entity, answer the question directly, support claims and make the page easy to crawl.
How is GEO different from classic SEO?
SEO focuses on visibility in search engines and the experience of people who use results pages. GEO adds another outcome: whether a system can find a precise passage, understand who is responsible for it and use it in a generated answer.
The two approaches overlap. A page that is slow, unclear, inaccessible or blocked from crawling is difficult for both search engines and AI systems. The difference is in the format of the answer: a classic result often points to a page, while a generative answer may extract a definition, comparison or recommendation from it.
Why AI visibility matters for local businesses
People increasingly ask complete questions instead of typing a short keyword: who builds a website for a guesthouse near Rewal, how can a hotel monitor reviews, or what should a property prepare before the season? A useful answer may include several sources and send a visitor directly to one of them.
For a small business, the opportunity is specificity. A page that explains a real service, a real location and a real project can be more useful than a generic page with a larger keyword list.
How does AI choose pages to use?
There is no public, universal ranking formula for every generative system. In practice, a page is easier to use when it has a clear subject, answers the question without detours, provides enough context and is supported by consistent signals elsewhere.
That means the basics still matter: a crawlable page, descriptive headings, a stable URL, correct structured data, visible author and business information, and content that does not contradict the rest of the site.
Six factors that support AI citability
1. Citability
Write short passages that answer one question completely. Put the answer near the heading and explain any limits or conditions.
2. Brand authority
Make it clear who operates the business, where it is based, what it does and which public projects can be inspected. A real portfolio is stronger than a list of vague promises.
3. Experience and expertise
Use first-hand observations, concrete processes, real examples and honest boundaries. Explain what was done and what was not measured instead of inventing results.
4. Technical GEO
Keep important content in crawlable HTML. Check indexing, canonical URLs, internal links, image alternatives, page speed and the files used to describe the site to automated systems.
5. Schema and structured data
Use structured data that matches what is visible: organisation, person, service, article, FAQ or project. Do not add properties only to create a bigger-looking schema block.
6. Platform presence
Keep the business entity consistent across the website, Google Business Profile, professional profiles and public project pages. A name that changes between sources creates uncertainty.
How to check AI visibility
Create a small set of real prompts your customers might ask. Include the service, the target location and the problem. Run them at regular intervals in the systems relevant to your audience and record whether the brand is mentioned, whether the description is accurate and which sources are cited.
Do not treat one answer as a ranking report. Generative answers can vary by location, language, user context and time. The useful signal is the pattern across several questions and dates.
A practical GEO checklist
Week 1: technical foundations
- Check indexing, canonicals, robots.txt and sitemap.
- Add accurate organisation, person and service data.
- Make important pages accessible through internal links.
- Remove contradictions in names, prices, locations and offers.
Week 2: citable content
- Write a direct answer below each important heading.
- Add FAQs based on real customer questions.
- Publish project descriptions with scope and public links.
- Add local context where it helps a decision, not as a list of town names.
Weeks 3 and 4: authority and measurement
- Update the Google Business Profile and professional profiles.
- Link relevant projects and resources together.
- Track a fixed prompt set and correct inaccurate descriptions.
- Refresh pages when the offer or the evidence changes.
FAQ
Is a separate GEO page enough?
Usually not. A dedicated explanation can help, but AI systems also need clear service pages, project evidence, business information and consistent technical signals.
Should I write for AI instead of people?
No. Write for a person first. Clear structure, direct answers and evidence help both people and automated systems.
Does adding more keywords improve GEO?
Not by itself. Repeating a town or service name without useful information makes the page less natural and can weaken trust.