SEO, GEO and AEO are three approaches to the same job: making a website understandable to the systems people use to find information. SEO (search engine optimization) covers visibility in Google. GEO (generative engine optimization) makes it more likely that ChatGPT, Gemini, Perplexity and Google AI Overviews understand and cite the site. AEO (answer engine optimization) makes sure the site gives clear answers to clear questions. Together, GEO and AEO are what most people now call AI search visibility. A well-prepared site has a sound technical foundation, a logical structure, schema.org data in JSON-LD format, and content that defines, compares and answers. Below we explain what each approach means, how they connect and what to fix on your own site.
In short
- SEO is the foundation: without a technically sound, high-quality site, GEO and AEO have nothing to build on.
- GEO makes it more likely that generative AI systems understand the site and cite it as a source, but it doesn’t guarantee a ranking or a recommendation.
- AEO means the site answers specific questions directly, in the first sentences, without detours.
- Technically, the site needs a clear heading hierarchy, schema.org data, fast loading and consistently named entities.
- Measure the effect with Search Console, analytics and regular manual checks of how AI assistants describe your company.
What SEO, GEO and AEO are
All three acronyms describe work on the same website, with different goals. The difference isn’t the tools but who reads the content: a classic search algorithm, a generative language model, or a user with a specific question.
SEO: search engine optimization
SEO (search engine optimization) is the set of technical and content work that makes a site accessible, understandable and relevant to Google and other search engines. It covers load speed, mobile-friendliness, correct indexing, page titles, internal links and content that matches what people actually search for. SEO is a mature discipline, and it remains the basis for everything that follows.
GEO: optimization for generative AI systems
GEO (generative engine optimization) means preparing content so that language models such as ChatGPT, Gemini and Perplexity, and features such as Google AI Overviews, can correctly understand it, summarize it and cite it as a source. Generative systems don’t show a list of ten links; they assemble an answer from several sources. A site that says clearly who it is, what it offers and to whom is more likely to become part of such an answer. GEO doesn’t guarantee that AI will recommend your company, but it makes it more likely that AI will understand and mention it correctly.
AEO: optimization for answers to specific questions
AEO (answer engine optimization) means shaping content so every important section of the page answers one question directly. That means short definitions, clear opening sentences, lists of steps, comparison tables and FAQ sections. Google builds featured answers from sections like these, and AI assistants use them as building blocks when a user asks something specific.
| Acronym | Meaning | Goal | Example of optimization |
|---|---|---|---|
| SEO | Search Engine Optimization | Visibility and rankings in Google and other search engines | A fast site, correct titles, indexing, internal links, content matched to search intent |
| GEO | Generative Engine Optimization (optimization for generative AI systems) | Being understood and cited in ChatGPT, Gemini, Perplexity and Google AI Overviews | Clear definitions, consistent entities, schema.org data, trust signals, self-contained sections |
| AEO | Answer Engine Optimization (optimization for answers to specific questions) | A direct answer to the user’s specific question | FAQ sections, the answer in the first sentence, numbered steps, comparison tables |
How SEO, GEO and AEO connect
GEO doesn’t replace SEO. It builds on technical SEO, content quality, trust and structure. If Google can’t index a page, a language model won’t find it either. If the content says nothing specific, no system will summarize it. In practice, the work happens in layers: first the technical foundation, then content that clearly defines the services and answers questions, and finally structured data that confirms it all in machine-readable form.
The overlap is large. A clear heading hierarchy helps Google (SEO), helps a language model understand the sections (GEO) and helps a user looking for an answer (AEO). An FAQ section with FAQPage schema is content for people, a signal for the search engine and a source for AI assistants, all at once. A change rarely helps only one of the three. That’s why, when we build websites at 4tech, we don’t separate SEO work from AI work; we build one structure that all three readers understand.
What the site needs technically
The technical requirements aren’t new. The difference is that, in our experience, generative systems tolerate a messy site even less than a classic search engine does, because they read the content in full and try to understand it, not just rank it.
Structure
Every page has one H1 that says what the page is. H2 headings divide the content into meaningful sections, and H3 headings break down the details. Headings are descriptive, not clever: “Our ecommerce development process” says more than “How we do it”. Paragraphs are short, each covering one idea. Lists and tables are real HTML elements, not images or styled paragraphs. The content is in the HTML the server returns and doesn’t depend on JavaScript; otherwise some systems see an empty page.
Schema.org and JSON-LD
Structured data in the schema.org standard, written as JSON-LD, is how a page confirms in machine-readable form what its content says. Organization or ProfessionalService describes the company, Service describes an individual service, Article describes an article, FAQPage describes questions and answers, and BreadcrumbList describes the page’s position in the hierarchy. Schema must not describe anything that isn’t on the page. Google checks this, and language models can’t rely on data that doesn’t match.
Speed and accessibility
Fast loading is still a requirement. Google measures Core Web Vitals, and crawlers have little patience for pages that take several seconds to load or only build their content after long-running scripts. The robots.txt file must not block the crawlers you want on the site, the XML sitemap must be up to date, and canonical links must be consistent. On a WordPress site this mostly comes down to properly configured caching, optimized images and plugin discipline.
Entities
An entity is a clearly named thing: a company, a person, a service, a place, a product. Language models build their understanding of the world from entities and the relationships between them. The site must use the same names consistently: the company 4tech, the business owner Aljaž Polh (registered name Spletne storitve, Aljaž Polh s.p.), the service “ecommerce development”, not “online shops” in one place and “web stores” in another. The same details should be identical on the site, in the schema, in the Google Business Profile and in business directories. Every inconsistency lowers the system’s confidence that it’s looking at the same company.
Content patterns AI systems extract
When we track which content shows up in AI assistants’ answers, a few patterns keep coming back. They have one thing in common: they’re self-contained, so a section makes sense even without the rest of the page.
- A definition in the first sentence. “A B2B portal is a web application through which business customers order on agreed terms.” A sentence of the form “X is …” is the easiest to cite.
- A direct answer before the explanation. Answer first, then context. The user and the model get the essentials even if they don’t read the rest.
- Comparisons in tables. When you compare options, for example WooCommerce and a custom build, a table with columns and rows tells the system exactly what is being compared.
- Steps in numbered lists. Processes, instructions and procedures are easiest to follow when written as a sequence.
- FAQs with questions in natural language. The question as a customer would ask it, and an answer in two to four sentences.
- Context about the author and the company. Who is writing, on what basis, with what experience. According to Google’s quality rater guidelines (E-E-A-T), systems also take trust into account, not just content.
It’s just as important to know what doesn’t work: generic phrases with no substance, promises with no explanation, and text written to repeat keywords. A model treats sections like these as noise. If a service page, for example for B2B ecommerce portal development, doesn’t say what the portal includes, how the project runs and who it makes sense for, no system can summarize it, no matter how much effort went into the design.
How to measure the effect
Measuring SEO is well established: Google Search Console shows impressions, clicks and rankings by query, and analytics shows what visitors do on the site. Measuring GEO and AEO is newer and less precise, but possible. The key is to record a baseline before you start; otherwise you can’t judge progress.
| What we measure | Tool or method | What it tells you |
|---|---|---|
| Organic traffic and rankings | Google Search Console, web analytics | The baseline; without it there’s no progress anywhere else |
| Featured answers and AI Overviews | Search Console (AI Overviews aren’t shown separately; they’re included in the overall data), manual checks of queries | Whether Google extracts answers from the site |
| Referrals from AI assistants | Analytics, segmented by source (chatgpt.com, perplexity.ai, gemini.google.com) | How much traffic comes from generative systems |
| Mentions in answers | Regularly asking ChatGPT, Gemini and Perplexity the questions your customers ask | Whether and how the systems describe your company |
| Correctness of structured data | Google’s Rich Results Test, the schema.org validator | Whether the machine-readable description matches the content |
The most practical test is simple: ask an AI assistant the questions your customers ask, and check whether it mentions you and describes you correctly. If it describes you wrongly, that’s usually a sign the site itself doesn’t say clearly enough what you offer. If GEO and AEO work pays off, it happens gradually: first in more accurate descriptions, then in referrals. At 4tech we run this kind of review as a free SEO, GEO and AEO check, and, for a complete list of findings by subpage, as a technical SEO + GEO audit covering the technical side, content and structured data.
Frequently asked questions
Does GEO replace SEO?
No. GEO builds on technical SEO, content quality, trust and structure. If Google can’t index a site, or the site says nothing specific, generative systems won’t understand it either. SEO remains the foundation; GEO and AEO build on it.
Can anyone guarantee that ChatGPT will recommend my company?
No, nobody can guarantee that. Generative systems assemble answers from several sources and don’t disclose their rules. GEO and AEO make it more likely that a system understands your site and cites it, but they don’t guarantee a ranking or a recommendation.
What is the most important first step?
Check whether the site says clearly what the company offers, to whom and how. Only then does it make sense to work on schema data and FAQ sections. Sort out the technical foundation (indexing, speed and heading structure) in parallel.
Is schema markup essential for GEO?
It isn’t the only requirement, but it’s important. Schema.org data in JSON-LD format confirms in machine-readable form what the content says, and makes it easier for systems to understand entities. Without clear content, schema alone doesn’t help.
How long does it take to see an effect?
It depends on the state of the site and the competition. Google picks up technical fixes within days or weeks; content changes show up in AI assistants’ answers gradually. A realistic expectation is a few months. The effect isn’t guaranteed, and when it does show, it usually appears first in more accurate descriptions, then in referrals.
Does this make sense for a small business too?
Yes, often even more than for large ones. A small business with a clearly defined service and a few well-structured pages is easier for these systems to understand than a large, disorganized site. The basic measures are relatively simple and don’t require a big team.
To see how Google and AI assistants understand your site, get a free check. For a complete list of findings by subpage, the technical SEO + GEO audit is available for €199.