The difference between GEO and SEO: what stays the same and what changes

The difference between GEO and SEO lies mainly in the goal: SEO tries to get your page high up in a list of search results, GEO tries to get your page used as a source in an answer written by AI. The foundation is largely the same. An AI search engine also needs to be able to crawl your site, your content still has to be good and you still need to come across as trustworthy. What changes is the form of winning: one answer with a few source citations instead of ten blue links.

GEO stands for Generative Engine Optimization: setting up your site so that ChatGPT, Gemini, Perplexity and Google AI Overviews can read, understand and cite it. If you'd like an overview of the whole field first, read the complete guide to GEO. In this article we put GEO and SEO side by side, so you can see what you already do, what's new and where to spend your time first.

#What stays the same between GEO and SEO?

The technical and content foundations of SEO remain the foundations of GEO, because an AI search engine can only cite what it can find, read and trust. Google is remarkably explicit about this. Its documentation on AI features and your website states that no additional requirements or special optimisations are needed to appear in AI Overviews or AI Mode. A page must be indexed and eligible to be shown with a snippet in Google. That is exactly the same threshold as for classic search results.

So three things remain just as important.

#Crawlability

A page that a crawler isn't allowed or able to fetch doesn't exist for a search engine, whether it shows links or writes answers. The first point Google mentions is that crawling must be allowed in robots.txt and by your CDN or hosting environment. AI adds an extra layer: every platform has its own bots. According to its own bot documentation, OpenAI for example uses OAI-SearchBot to show sites in ChatGPT's search features, and GPTBot for content that may be used to train models. How to allow or refuse each of these bots individually is covered in the article on AI crawlers in robots.txt.

The way your page is built also matters. If your text only appears on the page after JavaScript runs, not all AI crawlers will see it. Server-side rendering, where the text is already in the raw HTML, is therefore at least as important for GEO as it is for SEO.

#Content quality

Good content is the raw material for both disciplines: a clear answer to a real question, written by someone who knows the subject. In the same documentation, Google recommends making important content available as text, supporting it with good images and video, and making sure structured data matches the visible text. These aren't new GEO rules, but familiar SEO practices.

#Authority and trust

Search engines and AI systems both prefer sources that come across as trustworthy. Google describes this with E-E-A-T: experience, expertise, authoritativeness and trustworthiness. According to Google's page on creating helpful content, trustworthiness is the most important of these, and E-E-A-T itself is not a separate ranking factor. It is a collection of signals: a recognisable author, an about-us page, contact details, source citations and a date. Those signals help you in the classic results and in AI answers.

#What changes with GEO?

GEO mainly changes what you get as a result and which part of your page does the work, not the fundamentals. Five shifts matter most.

#One answer instead of ten links

In classic search the user picks from a list; in generative search the AI system picks and writes one summarising answer. So you're no longer competing for a place in the top ten, but for a place among the handful of sources the model uses. On top of that, a system often splits a question into sub-questions. Google calls this query fan-out: several related searches across subtopics and data sources at the same time. A page can therefore show up as a source for a sub-question it would never rank highly for in the regular results. How that selection works is explained in the article on how AI search engines choose sources.

#Citations instead of clicks

In GEO, a citation, meaning a source reference or link in the AI answer, is the main measure of success, and a click is a possible bonus. Many questions are answered directly in the answer. This is called zero-click: the user gets what they're looking for without clicking through. Your brand name and your arguments can still reach them, as long as you're the source. Google says that, based on its own observations, visitors who click through from AI features tend to stay on the site longer. Fewer clicks don't automatically mean less value.

#Entities instead of keywords alone

An AI system tries to understand who or what you are, not just which words appear on your page. An entity is a recognisable thing with properties, such as your company, a product or a person. The more consistently your company name, services and expertise are described on your site and beyond, the easier it is for a model to link you to a topic. JSON-LD with an Organization type and sameAs links to your profiles elsewhere help here, because they unambiguously establish which entity you are.

#Quotable passages instead of whole pages

SEO mainly assesses pages, whereas an AI answer often uses individual passages. A paragraph therefore needs to stand on its own. If a section starts with "As mentioned above", that sentence is worthless as a quote. An opening sentence that fully answers the question, a table with a clear comparison or a numbered list of steps is much easier to reuse. How to write passages like these is covered in the article on content that AI cites.

#Measuring gets harder

SEO has mature measurement tools; GEO doesn't yet. Google counts traffic from AI Overviews and AI Mode in the Performance report in Search Console under the Web search type, but without a separate AI filter. For ChatGPT, Perplexity and Gemini there's no comparable report. There, you mainly measure by asking fixed test questions and tracking whether you're mentioned, and by following referrals in your analytics.

#GEO and SEO side by side

The table below sums up the main differences.

#Where does AEO come from?

AEO, Answer Engine Optimization, is a related term for optimising for direct answers instead of a list of links. The term emerged around featured snippets and voice assistants, which read out or highlight a single answer. GEO is essentially its successor for the era of generative AI: the system doesn't pick one existing snippet, but writes its own answer based on multiple sources. You'll see both terms used interchangeably. In practice it makes little difference, because the work overlaps to a large extent.

#How do you combine GEO and SEO?

The best way to combine GEO and SEO is to treat them as one approach, with SEO laying the foundation and GEO adding a few specific layers on top. You don't need to create separate pages for AI. Google advises against it too: according to its documentation on AI features, you don't need new machine-readable files, AI text files or special schema.org markup to appear in AI Overviews or AI Mode. Other platforms may use other signals, but a page that is good for people and easy for crawlers to read works everywhere.

In practice, combining them means:

1. Write for questions, not just keywords. Use your keyword research as a starting point and ask yourself, for each page, what other sub-questions someone has. Answer those in their own sections.
2. Open every section with the answer. That helps featured snippets in Google and citations in AI answers.
3. Treat AI bots as separate visitors. Check for each bot whether you allow it. A block on training bots doesn't have to affect search bots as well.
4. Establish your entity. Make sure you have a consistent company name, a clear about-us page and Organization markup with sameAs.
5. Measure both sides. Keep track of your Search Console figures and, alongside that, ask the major AI platforms the same test questions every month.

#Where should you spend your time first?

Spend your first time on technical access, because it's the only step where a single mistake can cost you all your visibility. An overly strict robots.txt or a firewall that refuses AI bots makes all your other work pointless. After that, the rest follows in a logical order:

1. Access. Can search and AI crawlers fetch your pages, and is your text in the raw HTML?
2. SEO basics. Are your pages indexed, do you have a sitemap, are your canonicals correct and is the language set?
3. Quotable content. Do your most important pages start with a direct answer, and can your sections be read on their own?
4. Trust and entity. Are author, contact details, sources and dates visible, and does your markup describe who you are?
5. Measure and adjust. Which questions earn citations, and where are you still missing?

This order works because each step builds on the previous one. Polished, quotable content has no effect if a bot can't read it, and markup is of little use if the content underneath is weak.

#How to check this on your own site

You can see in a few steps whether your site is in good shape for both SEO and GEO.

1. Open yourcompany.com/robots.txt and see which rules apply to Googlebot, OAI-SearchBot, GPTBot, PerplexityBot and ClaudeBot.
2. View the source code of an important page (not the inspected version in your browser) and check whether your main text is in it.
3. Check in Search Console whether your most important pages are indexed.
4. Read the opening sentence of each H2 on that page and ask yourself whether it makes sense without context.
5. Ask ChatGPT with search, Perplexity and Gemini three questions from your field, and note which sources they mention.

Flowproof's free scan checks the technical side in one go: twelve AI bots in your robots.txt, a firewall test with the GPTBot user agent, whether your text is served server-side, your sitemap, canonical, JSON-LD and sameAs, and the E-E-A-T signals on your pages.