Companies do not have to be between SEO and GEO decide. What makes sense is a common strategy: SEO creates the technical and content foundation for visibility in classic search engines, while GEO extends this foundation to AI search systems such as ChatGPT, Gemini, Perplexity and generative search capabilities.

For medium-sized companies, this means that existing SEO measures should not be abandoned. Instead, it should be examined how content can additionally be constructed in such a way that it can also be found, understood and cited in AI-based search and response systems.

SEO or GEO – what is the difference?

SEO is for Search Engine OptimizationThis is search engine optimization. The aim is to build websites and content in such a way that they are understood by search engines and found with suitable search queries.

GEO stands for Generative Engine Optimization. The term is used for actions aimed at making content more accessible and understandable for generative search and response systems.

Simplified:

However, the areas overlap greatly.

A well-structured, technically accessible and technically high-quality website is an important basis for both classic search engines and AI systems.

Will GEO replace SEO?

According to the current state, there is little to suggest replacing SEO completely with GEO.

Google itself points out that the well-known SEO basics remain relevant for generative search functions. Google’s official guide to generative AI in search emphasizes that helpful, unique, and technically accessible content remains a core foundation.

Google describes more in its information about optimizing for generative AI functions in search: Google Search Central: Generative AI and Search

SEO therefore remains relevant for:

• technical accessibility of a website
• Crawling and indexing
• Side structure
• Internal link
• Search intention
• high quality content
• Thematic authority
• User friendliness
• Structured information

GEO complements these areas with new questions.

What is changing with AI search systems?

Search behavior is changing.

In classic search engines, users often enter short search terms, for example:

‘SEO Mittelstand’

In contrast, AI systems are increasingly asking complete questions:

“Which SEO measures make sense for a medium-sized B2B company with a small marketing department?”

This also changes the way companies should develop content.

Instead of only covering individual keywords, content should answer more concrete questions and problems.

Examples:

• Why does our website not bring requests?
• Why do we have website visitors but no customers?
• How do we become visible at ChatGPT?
• Do we still need SEO when customers use AI systems?
• Which online marketing measures make sense for a medium-sized company?
• How can we do SEO with a small marketing department?

Such content can address both classic search engines and AI systems. In addition, the guide shows Why website visitors still do not become customers.

What does a medium-sized company need in the future?

For medium-sized companies with small marketing teams, it usually does not make sense to build two completely separate strategies for SEO and GEO.

More efficient is a common foundation.

1. Technical SEO remains the basis

A website must be technically accessible and understandable.

These include, inter alia:

• Crawlable pages
• meaningful internal linking
• Clear URL structures
• fast loading times
• Mobile usability
• HTTPS
• Correct forwarding
• Structured data if it fits the content

Google describes the basic recommendations in the official basics of Google Search: Google Search Essentials

A website whose content is technically hardly accessible also has disadvantages with AI-based search systems.

2. Content should answer specific questions

A key difference lies less in a new technical optimization than in the type of content.

For example, instead of a general page with the title:

“Our SEO services”

Creating additional content can address specific problems:

“Why is our corporate website not found on Google?”

or:

“How can medium-sized companies become visible in ChatGPT?”

Such pages answer a clearly defined user question immediately.

This makes sense for both classic search and AI systems.

Google continues to recommend offering helpful, reliable, and primarily human-made content. Google: Creating Helpful and User-Oriented Content

3. Answers must be clear and unambiguous

For GEO, content is particularly suitable if important statements can be easily identified.

For example, it is helpful to:

• Short summaries
• Clear definitions
• Tables
• Lists
• Questions and answers
• Specific examples
• traceable sources
• Unique headings

This does not mean that each page should consist exclusively of lists or FAQs.

The content should first and foremost be understandable to the reader. However, a clear structure also makes it easier for machines to process the information.

4. Professional competence must be identified

When many websites publish the same general information, there is little differentiation.

Companies should therefore complement content with their own competence as far as possible.

These can be:

• practical experience
• Specific procedures
• own data
• Case studies
• Industry knowledge
• own assessments with reasonable justification
• Expert knowledge
• own investigations

Instead of simply explaining what SEO is, a company can describe, for example, which SEO problems regularly occur with its customers and how they are systematically analyzed.

Such content provides greater added value than mere summaries of already existing information.

5. Sources and trust become more important

AI systems have to decide what information to use for an answer.

Therefore, it should be understandable:

• Who publishes the content?
• What experience does the person or company have?
• When was the content created or updated?
• Which sources support important statements?
• Are company and contact details clear?
• Are there any other technically relevant content on the website?

External sources should be targeted.

For example, a page about SEO can point to Google Search Central. A page about ChatGPT visibility can point to official information from OpenAI.

OpenAI explains, for example, that publicly accessible websites can generally appear in the ChatGPT search. In order for content to be found and cited in answers, the corresponding search crawler must not be blocked. OpenAI: Information for publishers and website operators

6. Companies shouldn’t just look at Google

A future visibility strategy should take into account that potential customers can seek information about different systems.

These include, for example:

• Google
• Bing
• ChatGPT
• Gemini
• Perplexity
• Other AI-based search and response systems

However, this does not mean creating your own content for each system.

A high-quality specialist content can serve several systems at the same time.

The focus should therefore be on a central question:

What information does our target group need to solve their problem and perceive our company as a possible solution?

Think SEO and GEO together

For companies, the future strategy can be presented in a simplified manner in five levels:

1. Technical basis

The website must be accessible to search engines and relevant crawlers.

2. Classic SEO Visibility

Services, topics and search intentions must be found in search engines.

3. Problem-oriented content

Concrete customer questions are answered in detail on our own pages.

4. GEO and AI search optimization

Information is clearly structured, technically proven and prepared well interpretable for AI systems.

5. Authority and trust

Companies, authors, experiences and sources are presented in a comprehensible manner.

This does not create a separate SEO and GEO world, but a common visibility strategy.

What exactly should companies do now?

Medium-sized companies do not have to rebuild their entire website.

A useful introduction can be:

1. Check existing SEO basics.
2. Define the most important services and target groups.
3. Collect frequent customer questions.
4. Analyze search intentions and actual problems.
5. Create separate information pages for important questions.
6. Clearly structure content.
7. Prove technical statements with reliable sources.
8. Build internal links between problems and services.
9. Check technical accessibility for search engines and relevant AI crawlers.
10. Observe through which search and AI systems visibility and requests arise.

Especially for small marketing departments, this combined approach is usually more efficient than treating SEO and GEO as completely separate disciplines.

Conclusion: SEO remains – GEO expands visibility

The crucial question in the future is not:

SEO or GEO?

but:

Together, how can SEO and GEO ensure that our company is visible where potential customers are looking for information?

SEO continues to form the technical and content basis of digital visibility.

GEO or AI Search extends this basis by an additional level: content should not only be found in classic search results, but also come into question as a relevant source of information for generative search and answer systems.

For medium-sized companies, this does not mean abolishing SEO.

The more sensible development is:

SEO → high-quality problem-oriented content → GEO / AI Search → cross-channel visibility

Frequent Questions about SEO and GEO

What is the difference between SEO and GEO?

SEO optimizes websites for classic search engines and search results. GEO also deals with making content comprehensible, findable and usable as a possible source for generative search and response systems. Both areas overlap greatly.

Will GEO replace SEO?

Currently, there is no reason to completely replace SEO with GEO. Technical accessibility, high-quality content and a clear website structure remain fundamental prerequisites. GEO extends these measures with the requirements of generative search systems.

Does a medium-sized company already need GEO?

Companies should at least consider that customers are increasingly using AI systems for research and information search. However, this does not necessarily require a completely separate GEO strategy. Often existing SEO and content measures can be extended accordingly.

Do ChatGPT have to create its own content?

Not in principle. Good content should first answer the questions of its own target group. Clear structure, technical depth, traceable sources and technical accessibility can be helpful for both classic search engines and AI systems.

Can content be optimized for SEO and GEO at the same time?

Yes. Many basics overlap: high-quality content, clear topic allocation, technical accessibility, internal linking, traceable sources and structured information are relevant for both areas.

How can companies get started with SEO and GEO?

A good starting point is an analysis of the most common customer questions. From this, problem-oriented information pages can be developed, which are connected to matching service pages. At the same time, technical SEO basics and website accessibility should be checked.