SEO vs GEO:
How AI Has Changed Search

Just a few years ago, the user’s path through search was fairly predictable: a person would type a query into Google, browse the results, visit a few sites, and compare the information themselves.

Today that scenario is changing.

A user can ask a complex question in ChatGPT, Gemini, Perplexity, or Google AI Mode and immediately get a summarized answer with recommendations, comparisons, and links to sources.

Because of this, alongside classic SEO, the term GEO — Generative Engine Optimization — is being used more and more often.

GEO doesn’t replace SEO. It’s an extension of search optimization, and its goal is to help a brand and its content be not just found on Google, but also used, mentioned, or cited by generative AI systems.

What Is SEO

SEO — Search Engine Optimization — is a set of activities aimed at improving a website’s visibility in organic search results.

Classic SEO works across the following areas:

• technical condition of the site;
• indexing;
• structure;
• semantics;
• on-page optimization;
• content;
• internal linking;
• backlinks;
• site authority;
• UX;
• Core Web Vitals;
• local and commercial factors.

SEO’s core task is to help a search engine understand:

what a page is about, how relevant it is to the query, and whether it’s worth showing to the user.

The outcome of SEO is usually:

• better rankings;
• more organic visibility;
• more visits;
• more inquiries or sales from search.

What Is GEO

GEO — Generative Engine Optimization — is the optimization of a brand, a website, and content for generative search engines and AI-generated answers.

This is about visibility in:

• Google AI Overviews;
• Google AI Mode;
• ChatGPT Search;
• Gemini;
• Perplexity;
• other AI systems that draw on information from the internet to shape their answers.

In classic Google search, the goal often looked like this:

query → SERP → website page → click-through

In AI search, the scenario can look different:

query → AI analyzes several sources → generates an answer → mentions or cites the brand → the user visits the site only if needed

It’s precisely this difference that gave rise to GEO as a separate discipline.

SEO and GEO — the Key Difference

SEO and GEO share a common foundation, but have different points of visibility.

SEO	GEO
Optimization for search results pages	Optimization for generative AI answers
Main focus: rankings and clicks	Main focus: mentions, citations, and recommendations
Working with keywords	Working with topics, entities, questions, and context
Outcome: a URL in the SERP	Outcome: a brand or page used as the source of an AI answer
KPIs: rankings, traffic, CTR	KPIs: AI Visibility, Citations, Mentions, AI Referral Traffic
Google Search — the main channel	ChatGPT, Gemini, AI Overviews, Perplexity, and other systems

But it’s not quite right to pit SEO and GEO against each other.

GEO works best when a site already has a strong SEO foundation.

Google explicitly notes that fundamental SEO practices remain relevant for AI Overviews and AI Mode. Appearing in these AI features doesn’t require any separate special markup or “secret GEO optimization” — the page simply needs to be crawlable, indexable, and meet Google Search’s basic requirements.

Why GEO Has Become Important

User behavior itself has changed.

A typical query used to look like this:

SEO agency Germany

Now a user might ask:

Which SEO agency would suit a B2B SaaS company entering the German market that wants to generate organic leads?

That’s no longer just a keyword. It’s a complex task with several conditions.

An AI system can:

1. break the question down into several sub-queries;
2. find relevant sources;
3. compare information;
4. identify relevant brands;
5. form a recommendation;
6. add links to sources.

Google describes a similar mechanism as query fan-out — AI can run several related searches in order to better answer a complex query.

That’s exactly why a single page can already be ranked or cited not just for one main keyword, but in the context of dozens of related questions.

How AI Has Changed the Search Results Page

1. Users ask longer queries

AI search works better with natural language.

Instead of:

CRM for small business

a user might ask:

Which CRM should a service company with 10 managers choose if it needs telephony integration and automatic lead distribution?

This changes the approach to content.

It’s not enough to simply optimize a page for the phrase “CRM for business.” You need to provide enough context for the system to understand who the solution is for, what tasks it solves, what its limitations are, and how it differs from alternatives.

2. Search is turning into a conversation

In traditional search, a user would often type several separate queries.

For example:

• SEO for SaaS;
• SaaS SEO agency;
• SEO Germany;
• SEO agency prices;
• SEO vs Google Ads.

In AI search, all of this can turn into a single conversation with follow-up questions.

That’s why it’s important for a business to cover a topic comprehensively, rather than creating dozens of thin pages for minor variations of a single keyword.

3. AI picks the sources itself

In regular search results, the user sees a list of results and decides for themselves which site to visit.

In generative search, AI takes over part of that work.

For example, ChatGPT Search can use web search, generate an answer, and add links to relevant sources. OpenAI also notes that publicly available sites can appear in ChatGPT search results if their content is accessible to the OAI-SearchBot crawler.

For a business, this creates a new task:

you need not just to rank on Google, but to become a source that AI trusts enough to use in its answer.

What Stays the Same for SEO and GEO

Despite the new terminology, most of the fundamental principles haven’t changed.

Both SEO and GEO depend on:

• a technically accessible website;
• indexing;
• a logical structure;
• internal linking;
• expert content;
• a clear author;
• reliable information;
• up-to-dateness;
• brand authority;
• quality external mentions;
• good user engagement with the page.

Google explicitly recommends continuing to follow fundamental SEO practices for AI search and creating unique, helpful, people-first content. No separate special schema markup is needed for AI Overviews or AI Mode.

So GEO shouldn’t be built instead of SEO.

It’s more accurate to say:

SEO builds the foundation → GEO extends visibility into generative search.

What Changes in Content for GEO

One of the main differences is how information is presented.

AI systems find it easier to work with materials that include:

• clear definitions;
• short, direct answers;
• structured blocks;
• tables;
• comparisons;
• statistics;
• specific examples;
• FAQs;
• brand and product names;
• unambiguous facts;
• links to primary sources.

For example, instead of a paragraph like:

Today there are many different factors that can affect the price of SEO promotion, and each project needs to be analyzed separately.

it’s better to give a specific answer:

The cost of SEO depends primarily on competition, site size, promotion geography, technical condition, content volume, and link building.

You can then expand on each factor.

This kind of structure is more convenient for the user. It’s more convenient for AI, too.

Do You Still Need Keywords for GEO

Yes, but their role changes.

In SEO, understanding search demand and semantics is still important.

In GEO, you need to think more broadly:

not just which keyword the user types, but also:

• what questions they might ask;
• what follow-up clarifications will come up;
• what alternatives they’ll compare it to;
• which selection criteria matter;
• what information the AI will need to confirm.

For example, for an “SEO for SaaS” page, it’s not enough to just use:

• SaaS SEO;
• SEO for SaaS;
• SaaS SEO agency.

You also need to answer the questions:

• how SEO works for SaaS;
• how much time it takes;
• which pages to promote;
• how to get demo sign-ups from organic search;
• SEO or PPC;
• how to evaluate ROI;
• whether programmatic SEO is a fit;
• how to promote SaaS in different countries.

This is how topical coverage is built — and it matters both for search and for AI.

What Entity Optimization Is

AI doesn’t just work with keywords — it works with entities.

An entity can be:

• a company;
• a person;
• a product;
• a service;
• a country;
• a technology;
• a brand.

For example, it matters to GS4B that systems can connect the brand to concepts such as:

• SEO;
• Technical SEO;
• Local SEO;
• Google Ads;
• AI Automation;
• SaaS;
• E-commerce;
• B2B;
• digital marketing;
• Europe.

The more consistently a brand is described on its own website and in external sources, the easier it is for systems to understand the context in which it can be used.

External Mentions Matter Even More Now

For classic SEO, backlinks have long been an important authority signal.

In GEO, you need to look more broadly.

What matters isn’t just links, but also brand mentions in authoritative sources:

• media outlets;
• industry directories;
• rankings;
• reviews;
• partner sites;
• case studies;
• professional platforms;
• expert articles.

AI can draw on several independent sources to form its answer.

If a company only exists on its own website, it’s harder for the system to confirm its expertise.

Do You Need an llms.txt File for GEO

A lot of technical “hacks” have sprung up around GEO.

One of them is the llms.txt file.

But as of 2026, Google explicitly states that llms.txt is not needed for Google Search and, by itself, neither improves nor worsens search visibility.

So building a GEO strategy solely around a new file or a special technical markup is the wrong approach.

What matters far more is:

• that pages are accessible;
• that the information is up to date;
• that the brand has expertise;
• that the content answers real questions;
• that the data can be verified.

How to Optimize a Site for GEO

1. Don’t abandon SEO

The first step is a strong SEO foundation:

• crawlability;
• indexing;
• canonical tags;
• sitemap;
• robots.txt;
• speed;
• mobile;
• internal linking;
• correct status codes.

Without this, GEO will be considerably harder to achieve.

2. Build topical clusters

A single page shouldn’t try to answer absolutely every question.

For example:

AI Automation

can be the main commercial page.

Around it:

• AI chatbot for business;
• AI Voice Assistant;
• AI for sales;
• AI for support;
• AI for e-commerce;
• ROI of AI automation;
• integrating AI with a CRM.

This is how you build topical authority.

3. Give a short answer before the details

For example:

What is GEO?

GEO is the optimization of content and a brand for visibility in generative AI systems such as ChatGPT, Gemini, Google AI Overviews, and Perplexity.

And only then — a detailed explanation.

This format is useful at the same time for:

• the user;
• Google;
• AI.

4. Use your own data

The most valuable content is the kind that can’t easily be copied.

This can include:

• case studies;
• results;
• experiments;
• research;
• your own statistics;
• methodology;
• expert commentary;
• real examples.

Google separately recommends betting on unique, expert, non-commoditized content instead of repeating what dozens of other sites have already written.

5. Back up claims with sources

It matters to AI systems to understand where information comes from.

This is especially true for:

• statistics;
• research;
• legislation;
• medical information;
• finance;
• technical standards.

A link to the primary source increases trust — for both the user and the system.

6. Build the brand beyond the website

GEO isn’t just on-page optimization.

You need to develop:

• digital PR;
• expert publications;
• partner content;
• company profiles;
• directories;
• rankings;
• reviews;
• customer case studies.

The more quality sources confirm a company’s expertise, the stronger its information footprint becomes.

How to Measure GEO

A classic report with just rankings is no longer enough.

For GEO, you can use the following metrics.

AI Visibility. How often the brand appears in AI answers for target queries.

Citation Rate. What share of answers include a link to the site as a source.

Brand Mentions. How often AI mentions the company even without a direct link.

Share of Voice. How often the brand appears compared to competitors.

Mention Quality

The context in which AI mentions the brand:

• as a source;
• as an alternative;
• as a recommended solution;
• as an expert;
• just in a list.

AI Referral Traffic

Visits coming from:

• ChatGPT;
• Perplexity;
• Gemini;
• other AI platforms.

For Google, 2026 also brought separate Search Console reporting on visibility within generative AI features, including AI Overviews and AI Mode.

Will GEO Become More Important Than SEO

For now, it’s more accurate to talk about combining them rather than replacing one with the other.

Google explicitly states that SEO remains the foundation for generative AI search features.

So the future strategy looks like this:

Technical SEO + Content SEO + Brand Authority + GEO

A business’s task is to be present at every stage of search:

1. when someone is looking for information on Google;
2. when they read an AI Overview;
3. when they ask ChatGPT;
4. when they compare companies via Perplexity;
5. when they check out a brand;
6. when they’re ready to visit the site and submit an inquiry.

SEO vs GEO: What Should a Business Choose

There’s no need to choose between SEO and GEO.

If a business wants organic visibility in today’s search landscape, its strategy needs to cover both directions.

SEO is responsible for:

• indexing;
• rankings;
• organic traffic;
• technical quality;
• structure;
• page relevance.

GEO adds:

• visibility within AI;
• brand mentions;
• citation;
• presence in recommendations;
• optimization for complex conversational queries;
• AI referral traffic.

The formula might look like this:

SEO → the site gets found

GEO → the brand gets used as a source or recommendation

The strongest results come when these two directions work together.

FAQ

What is GEO in marketing?

GEO — Generative Engine Optimization — is the optimization of a website, its content, and a brand for visibility in generative AI systems such as ChatGPT, Gemini, Google AI Overviews, AI Mode, and Perplexity.

How does GEO differ from SEO?

SEO is focused primarily on visibility in traditional search results. GEO focuses on mentions, citations, and brand recommendations in AI-generated answers. At the same time, GEO relies heavily on a strong SEO foundation.

Will GEO replace SEO?

No. SEO remains the foundation for crawling, indexing, and having search engines understand content. GEO extends that work to generative search.

How do you get into ChatGPT’s answers?

The site needs to be accessible to OpenAI’s crawler, and the content needs to be relevant, up to date, and sufficiently authoritative. OpenAI notes that publicly available sites can appear in ChatGPT Search, and that not blocking OAI-SearchBot is important for content accessibility.

How do you get into Google AI Overviews?

Google doesn’t require any separate GEO markup. The page needs to be indexed, accessible to Google Search, and follow the usual SEO and helpful-content guidelines.

Do you need special content for AI?

You don’t necessarily need to create a separate “AI version” of an article. It’s far more important to create high-quality, well-structured, expert content with direct answers, examples, facts, and clear logic.

How do you measure GEO?

To assess GEO, you can use AI Visibility, Citation Rate, Brand Mentions, Share of Voice, Mention Quality, and AI Referral Traffic.

Conclusion

AI hasn’t done away with search — it has changed the way users get information.

Previously, SEO’s main task was to get a page as high as possible on Google. That’s no longer enough.

It matters for a brand to be present:

• in classic search results;
• in AI Overviews;
• in Google AI Mode;
• in ChatGPT;
• in Gemini;
• in Perplexity;
• in the sources these systems rely on.

That’s why SEO and GEO need to be treated as parts of a single visibility strategy.

A strong technical foundation, quality content, topical expertise, brand authority, and well-structured information all help both classic SEO and generative search at the same time.

For a business, the question is already gradually shifting from “where does our site rank?” to something broader: “does search — both classic and AI — see, understand, and recommend our brand?”