GEO vs. SEO: What Generative Engine Optimization Really Changes

The original research paper by Aggarwal and co-authors describes GEO as a framework that helps content creators improve the visibility of their content in answers generated by generative engines.

That is a useful starting point. But the study should not be confused with a current ranking guide for ChatGPT or Google.

The research used its own benchmark with generative systems. Today’s ChatGPT Search, Google AI Overviews, and Google AI Mode in their current forms were not part of that study.

We therefore take the term and the underlying principle from the paper, but not any supposed universal ranking factors.

For businesses, it is especially useful to distinguish between three forms of GEO visibility:

Mention: The brand or company is named.

Citation: A page from the company’s own website or another source is linked or cited as supporting evidence.

Recommendation: The company is presented as a potentially suitable solution or option in the context of a question.

These three things are not the same.

A website can, for example, be cited as a source without the brand itself being mentioned prominently. Conversely, a brand can be mentioned even when its own website is not the cited source.

That is exactly why GEO is about more than whether a link appears somewhere.

That still includes core tasks such as:

• Crawling and indexability
• Clear information architecture
• internal linking
• Helpful, original content
• Technical quality and page experience
• clear page topics
• Current, verifiable information
• Authority and recognition within the relevant topic area

Google describes these same foundations as relevant for its own AI features.

That matters because it is increasingly suggested that traditional SEO is losing relevance as generative search grows.

From a technical perspective, much points in the opposite direction.

For a page to appear as a supporting source in Google AI Overviews or AI Mode, for example, it still needs to be indexed and broadly eligible for Google Search.

Google explicitly states that no additional technical GEO-specific optimization is required for this.

SEO therefore remains the foundation on which many new forms of organic visibility are built.

The boundaries are not always clear-cut.

Google AI Mode, for example, is both part of Google Search and a generative answer system. Optimization can therefore support traditional SEO goals and GEO goals at the same time.

That is exactly why I think the idea of “SEO over here, GEO over there” is too simplistic.

In practice, the two disciplines overlap substantially.

Google continues to cite, among other things:

• Accessible crawling
• internal links
• Helpful and reliable content
• Text content that is technically accessible
• A good user experience
• Relevant images and videos
• up-to-date company information
• Structured data that matches the visible content

What Google explicitly does not require is especially noteworthy.

You do not need a special AI file, dedicated AI markup, or a separate Schema.org implementation just to be eligible for AI Overviews or AI Mode.

That does not mean GEO is unnecessary.

It means that many supposed GEO tricks are actually solid SEO, content, and brand work.

Structured data also belongs in this more grounded view.

Google uses structured data to better understand page content and enable certain rich results. It is useful and should be implemented correctly.

But that does not automatically create a special GEO advantage.

OpenAI likewise does not document a direct ranking advantage from Schema.org markup for ChatGPT Search.

Technical fundamentals should therefore be implemented properly without being marketed as a secret lever for AI visibility.

A page that answers a specific customer question comprehensively is good SEO content.

The same page can also create a better foundation for a generative system to find a relevant statement and use it as a source.

Internal linking, clear page topics, author information, and accurate company information are not GEO-only techniques either.

The additional GEO perspective begins when companies deliberately analyze how they are represented inside generative answers.

At Webnity X, that is what we mean by Generative Engine Optimization: not a replacement for SEO, but a focused extension that adds visibility, context, and measurement within generative search and answer systems.

That includes, for example:

• Identify real questions and decision scenarios from the target audience
• Check whether your brand appears for those questions
• Distinguish between a simple mention and a genuinely relevant contextual inclusion
• analyze the sources used
• Check which information about the company is missing or contradictory
• Consider independent public information about the brand
• Measure the same questions repeatedly instead of drawing conclusions from a single answer

For a practical guide to measuring and improving this visibility in ChatGPT, see our in-depth article “How to Get Found in ChatGPT: Making Your Company Visible in 2026.”

That is why we do not measure SEO and GEO visibility with the same metric.

For SEO, we look at metrics such as:

• Rankings
• impressions
• clicks
• organic traffic
• Conversions from organic search

For GEO, additional signals matter:

• Is the brand mentioned?
• What is it mentioned for?
• Which other providers appear?
• Which sources are used?
• Is the company’s own website cited?
• Does visibility change across repeated questions?

That does not mean a GEO metric is automatically more important than traffic or leads.

It simply answers a different question.

GEO is therefore especially relevant for companies with:

• Complex or explanation-heavy services
• Longer decision-making processes
• many comparison scenarios
• A strong reliance on trust and expertise
• Heavy competition for informational searches
• Brands whose services are still described ambiguously online

For a local business whose demand comes almost entirely from a very specific Google search and Google Maps, other measures may be much more important at first.

A company with fundamental SEO problems should not reverse its priorities either.

If important pages are not indexed, content is sparse, or the website is technically difficult to access, I would fix those foundations first.

GEO should not become an excuse to skip unresolved SEO problems.

I would therefore approach it in this order.

First, check the foundation:

Can the website be crawled and indexed reliably?

Are the most important services and topics represented clearly?

Does the website answer the questions potential customers actually ask?

Is company information consistent and verifiable?

Then add the GEO layer:

For which questions should the brand be relevant in generative systems?

Is it currently mentioned there?

How is it described?

Which sources are used?

Which gaps are visible on the company’s own website or in the public information available about it?

This does not create a second, isolated marketing discipline.

It creates a broader visibility strategy.

Over time, that means businesses can no longer rely exclusively on traditional rankings and clicks as their view of visibility.

But it does not create an entirely new internet with completely different rules.

Crawlable websites, understandable content, clear topics, credible sources, and a recognizable brand remain the foundation.

GEO extends that work with new output formats and new metrics.

The key question is therefore not:

“SEO or GEO?”

Instead:

“Is our company visible in both traditional search results and generative answers where our customers are looking for a solution?”