SEO as a complementary part of GEO. Why does classic SEO still matter in the AI era?
Author
Piotr Rompca
SEO doesn't disappear, it just changes its role
With the advent of Google AI Overviews, ChatGPT Search, Perplexity, Gemini, Claude and other AI systems, the question increasingly arises: does SEO still make sense?
The answer is yes. But his role is changing.
Today, SEO should not be understood only as the fight for a position in Google and a click from a classic organic result. In the era of AI, it becomes the foundation for wider visibility: in search engines, generative responses, citations, recommendations, comparisons and brand queries.
GEO does not replace SEO. GEO expands SEO with a new way of thinking about visibility.
SEO is responsible for whether a page can be found, downloaded, indexed and understood. GEO is responsible for whether a brand, domain or specific content has a chance to appear in the AI response as a source, citation or comparison element.
If a website is not properly indexed, technically accessible, structured and reliable, it has no good starting point in either Google or AI Search.
Therefore, the question should not be:
“Is SEO still necessary?”
A better question is:
“Is our SEO prepared for the new search model?”
We write more about how the way customers search and make decisions is changing in the article:
We are no longer looking for sites. We are looking for answers. How does AI change customer search and decisions?
Where does the belief that SEO is losing its importance come from?
The belief that SEO is losing importance did not come out of nowhere. Many companies are actually seeing declines in organic clicks, lower CTR, and less traffic to some of their informational content.
The reason is simple: the user increasingly receives an answer without having to visit the website.
Google AI Overviews can give you a short summary above the organic results. ChatGPT Search, Perplexity, Gemini or Claude can collect information from several sources and respond directly in the conversation. As a result, the user does not always have to click on several pages to understand the basics of the topic.
This particularly affects simple information content:
- definition,
- basic guides,
- articles like "what is...",
- general lists,
- short explanations with no unique value.
However, this does not mean that SEO has stopped working.
This means that some SEO results will no longer be visible only as a click. The brand may appear in the AI response, the user can remember its name, come back later via Google, go directly to the website or send a query after previously interacting with the content in the AI tool.
A decline in some clicks does not mean the end of SEO. It means changing the way we measure its effects.
Today, you need to analyze not only traffic, but also:
brand visibility in AI responses,
domain citations,
brand inquiries,
traffic with AI Assistants,
quality of leads,
conversions,
presence of competition in AI responses.
We write more about the drop in clicks, CTR and the Great Disconnect in the article:
The phenomenon of loss of organic traffic. Why doesn’t fewer clicks from Google always mean there’s a problem?
SEO, AEO and GEO - three layers of one strategy
SEO, AEO and GEO should not be treated as competing approaches. These are three layers of one visibility strategy.
Each of them is responsible for a different element of the process.
| layer | main role | action example |
|---|---|---|
| SEO | makes the website accessible, indexed, fast, organized and visible in classic search results | indexation, technique, linking, structure, content |
| AEO | prepares content so that it can be used as a short, specific answer | FAQ, definitions, tables, direct answer, structured paragraphs |
| GEO | increases the chance that brand or content will be used in a generative AI response | citations, presence in syntheses, comparisons, recommendations and AI responses |
This can be put more simply:
SEO
helps machines find and understand the page.
AEO
helps draw a specific answer from it.
GEO
helps ensure that the brand is included in the broader generative response.
Therefore, it is a mistake to think that since GEO has appeared, SEO can be omitted. GEO needs a foundation. Without a technically correct website, well-described services, an organized structure and reliable content, it is difficult to build visibility in AI responses.
The basic differences between GEO, AIO and AEO are discussed in the article:
GEO vs AIO vs AEO. How are new AI search engine positioning different?
SEO as a foundation: without AI indexing there is nothing to use
Visibility in AI starts earlier than many companies realize.
Not from prompts. Not from one new article. Not from the magic marker.
It starts with whether the robot can enter the website, download the content, understand its structure and associate it with a brand, service, product or topic.
If a website is not indexed, poorly constructed or blocks robots, its chances of being used by AI systems are limited.
The problem may include:
lack of indexation of important subpages,
incorrect robots.txt settings,
blocks for search robots,
content loaded only by JavaScript,
offer hidden in PDFs,
service descriptions published as graphics,
incorrect canonical,
unreadable URL structure,
sitemap.xml missing,
incorrect HTTP statuses,
poor internal linking,
duplicate or very general content.
In classic SEO, such errors limited visibility in Google results. In GEO, they can further make it difficult for AI systems to retrieve, understand, and use content as a source.
| SEO problem | possible impact on GEO |
|---|---|
| the page is not indexed | the content may not reach the sources used by AI |
| locks in robots.txt | robots may not download key subpages |
| content loaded only with JavaScript | AI may miss critical information |
| offer in PDF or graphics | more difficult data extraction |
| no internal linking | poorer understanding of relationships between topics |
| incorrect canonical | risk of missing the correct version of the page |
| no structured data | less clear description of the company, content and offer |
You can’t effectively optimize for AI if your website has a messy SEO foundation.
Technical SEO is still key to visibility in AI
Technical SEO has not lost its importance. In many cases, it has become even more important.
AI systems need clean, stable and easy-to-process data. If a website is slow, has chaotic URLs, blocks robots or hides the most important content, its visibility potential in AI will be limited.
The most important technical elements are primarily indexation. The company should know whether key subpages are visible in Google and Bing. This applies not only to the home page, but also to services, categories, products, articles, case studies, FAQ and local pages.
The second element is crawlability, i.e. the ability for robots to freely download content. If important sections of the page are blocked, inaccessible, or require complex rendering, the robot may not reach key information.
The third element is robots.txt. This file should be controlled consciously. It should not accidentally block important sections of the page or robots that are responsible for searching and citations in AI tools.
The next element is sitemap.xml. The sitemap should show current and important addresses, not cluttered, old or irrelevant URLs.
HTTP statuses are also important. Working subpages should return status 200. 404 errors, redirection loops, incorrect redirections and chaos in canonicals make the website difficult to interpret.
Page speed, Core Web Vitals and the mobile version also matter. It’s not because AI “likes fast sites” out of context. The idea is that an efficient, stable and correctly rendered website is easier to download, analyze and evaluate.
| technical element | importance for SEO | importance for GEO |
|---|---|---|
| indexation | allows you to appear in Google results | increases the chance that content will be found by AI systems |
| robots.txt | controls robot access | can support or limit presence in AI tools |
| sitemap.xml | helps you discover URLs | organizes important website resources |
| HTML | makes it easier to read the content | facilitates the extraction of information for AI responses |
| schema.org | supports understanding of the site | helps describe entities and relationships |
| internal linking | strengthens the information architecture | shows context and thematic connections |
So technical SEO is not a separate, old world. It is part of preparing the website for the new search model.
Content SEO as a basis for citation in AI
Content SEO isn’t going away either. However, the way it is planned and assessed is changing.
In the past, SEO content often focused on keyword phrases, text length, headings, meta title, meta description, and internal linking. These elements still matter, but they won't be enough if the text is generic, repetitive, and doesn't help the user make a decision.
Content supporting GEO should not only be visible, but also usable as a source of answers.
- clear answer at the beginning,
- specific context,
- experience,
- examples,
- data,
- comparisons,
- restrictions,
- case studies,
- conclusions,
- updates,
- FAQ,
- citable elements.
In practice, the answer-first model works well. First, we answer the user’s question, then we develop the topic.
Example:
Instead of starting a section with a long introduction, you could write:
"SEO still makes sense in the AI era because it is responsible for indexation, technical accessibility of the site, content structure and domain authority. GEO does not replace SEO, but extends it with visibility in generative responses."
Only later can you go into details.
This arrangement helps the user and the AI systems at the same time. A human understands the meaning of the answer faster, and a machine more easily identifies a fragment that can be used in synthesis.
A good content model might look like this:
Short answer to the question.
Context.
Explanation.
Example.
Comparison table or list.
Conclusion.
Linking to in-depth materials.
SEO helps lead the user and the robot to the content. GEO requires this content to be specific and credible enough to be used in an AI response.
From keywords to intentions, entities and context
Keywords are still needed. They should not be thrown out of the strategy.
The problem begins when the strategy is based solely on a list of phrases.
In the GEO era, you need to think broader. What matters is not only the words entered into the search engine, but also intentions, decision-making questions, industry context and relationships between topics.
The classic approach might have started with the phrase:
“online store positioning”
A broader SEO + GEO approach should also include the following questions:
"which agency should I choose for SEO of an online store?"
"Is SEO for WooCommerce different from SEO for PrestaShop?"
"how to prepare an online store for AI Search?"
“who deals with SEO and GEO for e-commerce?”
"what product data is important for the store's visibility in AI?"
"how to measure SEO effects in the store when information traffic drops?"
These are questions closer to the customer’s decision. The user is no longer just looking for a definition. He wants to compare, choose, understand the risk, get to know the criteria and shorten the decision-making process.
Entities, i.e. specific objects and relationships between them, are also important in GEO. For a company, these may be:
- brand,
- service,
- product,
- location,
- technology,
- industry,
- author,
- expert,
- case study,
- opinion,
- product category.
If a company wants to be associated with the implementation of B2B stores, this specialization should be visible not only in one place. It should appear in the structure of services, articles, case studies, FAQ, technology descriptions, implementations and internal linking.
Phrases are the entry point. However, the strategy should be built around the customer’s intentions, entities, topics and decisions.
Structured data as a bridge between SEO and GEO
Structured data is a good example of an element that combines classic SEO with new visibility in AI.
Schema.org and JSON-LD are not a magical way to appear in AI responses. It is not enough to implement a few tags for systems to start quoting a page.
However, structured data helps organize information. They show machines what is what: who is the author, what the subpage is about, what service it describes, what company publishes it and how the content connects to the rest of the website.
They may describe, among other things:
- company,
- location,
- service,
- product,
- article,
- author,
- FAQ,
- breadcrumbs,
- opinions,
- events,
- organization,
- relationships between subpages.
| data type | what organizes |
|---|---|
| Organization | company and brand data |
| LocalBusiness | location, NAP data, area of operation |
| article | content, author, publication date, topic |
| FAQPage | questions and answers |
| Product | product data |
| Service | service description |
| BreadcrumbList | website structure |
| Review | opinions and ratings |
Structured data doesn’t replace good content, but it helps describe it better. In the era of AI, this is particularly important because systems not only index text, but also try to understand the relationships between the company, service, topic, author and sources of trust.
A well-implemented schema.org supports the semantic order of the page. And semantic order is one of the elements that help build visibility in GEO.
Linking, authority and mentions - classic SEO meets brand reputation
Authority still matters. However, the way it is understood is changing.
In classic SEO, a lot of attention was paid to links, referring domains, anchor texts, domain authority and website history. These elements may still be important, but in the GEO era they are not enough.
AI can treat the company’s official website as one of the sources, but it does not have to trust it uncritically. If a company calls itself an expert, but the Internet does not confirm this, the credibility is weaker.
Therefore, the following are also becoming more and more important:
brand mentions,
citations,
customer opinions,
industry profiles,
rankings,
comparisons,
expert publications,
consistent NAP data,
author profiles,
reputation outside your own domain.
It’s not just about classic link building anymore. It’s about building confirmation that the company is actually a reliable source.
What may be important for AI is whether a brand appears in multiple, consistent contexts. Is it described in catalogues, industry profiles, articles, opinions, case studies and expert publications. Is this information up to date? Are there any contradictions between what the company writes on the website and what can be seen in other sources.
This means that SEO is increasingly connected with brand reputation, PR, content marketing and online information management.
We write more about preparing the company for the entire AI search ecosystem in the article:
How to stay out of search in the AI era? Guide for companies
Why may GEO without SEO not work?
GEO is not a shortcut. It will not fix a weak website, chaotic structure, lack of indexation and general content.
It can only expand a well-built foundation.
GEO will be weak if:
the page is not indexed,
robots cannot see key information,
the content is too general,
the website does not have a clear structure,
important information is hidden in PDFs or graphics,
structured data is missing,
the brand is described inconsistently,
there are no case studies and opinions,
subpages are not connected by internal linking,
the content does not answer users' questions,
the website has technical errors.
| no SEO foundation | why weakens GEO |
|---|---|
| no indexation | AI may not be able to access the content |
| poor technique | robots may have trouble downloading the page |
| lack of structure | harder to understand the information hierarchy |
| general content | AI has nothing to quote or synthesize |
| lack of authority | the brand may not be considered reliable |
| no structured data | entities and relationships are more difficult to recognize |
| no linking | weaker thematic context |
The biggest mistake is that companies try to start from the end. They want to appear in AI responses, but at the same time they have problems with indexation, content structure, offer description, authority and analytics.
In such a situation, GEO is not the solution. First you need to sort out your SEO.
Why is SEO alone no longer enough?
Since SEO is the foundation, a second question can be asked: is it enough to do classic SEO well?
Not always.
Classic SEO can make your website visible in Google results. It can improve indexing, structure, technique, content and authority. This is very important.
However, it does not automatically guarantee that:
AI will select the page as the source,
the brand will be mentioned in the response,
the content will be used in comparison,
the user will see the company in the recommendation,
the system will consider the content most useful in the synthetic response.
That’s why you need to add additional layers to SEO:
- answer-first content,
- structured data,
- entities and context,
- external sources of trust,
- AI response monitoring,
- citation analysis,
- working on brand search,
- measuring lead quality.
SEO gives a website the right to enter the game. GEO helps increase the chance that your brand will be noticed in the response itself.
This is an important distinction. Without SEO, the website may not be found. Without GEO it may be found but not necessarily used in the AI response.
What should an SEO + GEO strategy look like?
The most effective strategy does not choose between SEO and GEO. It combines five layers: technique, information structure, content, trust and measurement.
| layer | what does it include | goal |
|---|---|---|
| technique | indexation, speed, mobile, robots.txt, sitemap, HTTP statuses | allow robots to access the content |
| information structure | website architecture, URLs, breadcrumbs, linking, thematic clusters | show relationships between topics |
| content | services, products, categories, articles, FAQ, comparisons, case studies | answer real user questions |
| trust | opinions, mentions, authors, case studies, industry profiles | confirm the brand’s credibility |
| measurement | GA4, GSC, AI citations, brand search, conversions, leads | assess the impact on visibility and business |
Each layer strengthens the next one.
Technique without content is not enough. A website may be fast and correctly indexed, but if it does not answer customer questions, it will not build decision-making visibility.
Content without trust is also not enough. A company can write good articles, but if it does not have opinions, case studies, external mentions and consistent data, it may be a weaker source than the competition.
GEO without measurement will also be a problem. You need to know whether the brand appears in AI responses, whether it is cited, whether brand search is growing, whether AI traffic converts and whether the competition is taking over visibility in comparisons.
The SEO + GEO strategy should therefore cover not only the website, but the entire visibility ecosystem.
What SEO activities are most important for GEO today?
Not every SEO activity has the same value in the AI era. Priority is given to elements that improve the accessibility, structure, understanding and credibility of the website.
The most important activities are:
Organizing indexation.
Crawlability check.
Improving the technical accessibility of content.
Remove accidental blockages for robots.
Update of service, product and category pages.
Expanding the content with decision-making questions.
Creating answer-first content.
Implementation of schema.org and JSON-LD.
Construction of thematic clusters.
Improved internal linking.
Publishing case studies.
Adding opinions and evidence of experience.
Organizing NAP data.
Development of external profiles.
Monitoring brand visibility in AI.
Analysis of lead quality, not just traffic.
This list does not mean that every company should do everything at once. The order depends on your starting point.
If a website has technical problems, we start with technical issues. If the content is general, we start by rebuilding it. If the brand is poorly visible outside the website, you need to work on authority and sources of trust.
Example: what does the SEO-only approach look like and what does SEO + GEO look like?
The difference between SEO-only and SEO + GEO is not that SEO is no longer necessary. The difference is that classic SEO includes broader thinking about responses, trust, citations and user decisions.
Example for a service company
SEO-only approach:
- we create a service subpage,
- we optimize the meta title,
- we add phrases,
- we correct the headlines,
- we link from the blog,
- we fight for positions.
SEO + GEO approach:
- we do all of the above,
- we add a clear answer at the beginning,
- we describe who the service is for,
- we show customer problems,
- we explain the cooperation process,
- we add FAQ,
- we show case studies,
- we add structured data,
- we strengthen the author or expert,
- we build external mentions,
- we monitor whether the brand appears in AI responses.
In the first approach, the goal is mainly position and click.
The second goal is also for the website to be used as a reliable source and for the brand to be taken into account at the supplier selection stage.
Example for e-commerce
SEO-only approach:
- we optimize the category for the phrase,
- we add a description of the category,
- we set meta title and description,
- we improve linking,
- we take care of indexation.
SEO + GEO approach:
- we do all of the above,
- we organize product data,
- we add comparisons,
- we show the selection criteria,
- we are developing FAQ categories,
- we care about opinions,
- we implement Product schema,
- we complete data on availability, parameters and variants,
- we check how AI describes the category and products.
In online stores, not only category descriptions will be important, but also the quality of product data, filter structure, opinions, availability, parameters and the ability to understand the offer by AI systems.
We develop this topic in more detail in the article:
Artificial intelligence will do shopping for us. The era of AI agents in e-commerce
How to measure the effect of combining SEO and GEO?
The effect of SEO + GEO must be measured more broadly than classic SEO. This does not mean that old records are invalid. You still need to analyze positions, clicks, impressions, CTR, organic traffic and conversions.
However, new indicators need to be added.
Classic SEO metrics:
- items
- clicks
- views
- CTR
- organic traffic
- indexation
- entrance side
- organic conversions
GEO and AI Search metrics:
- brand presence in AI responses
- domain citations
- brand share relative to the competition
- traffic with AI Assistants
- referral traffic from AI tools
- brand inquiries
- direct
- conversions from AI traffic
- quality of leads
- presence in comparisons and recommendations
| classic SEO | SEO + GEO |
|---|---|
| positions in Google | positions + presence in AI responses |
| clicks | clicks + visibility without clicking |
| CTR | CTR + citations and brand search |
| organic traffic | organic traffic + traffic from AI Assistants |
| key phrases | phrases + intentions + decision questions |
| links | links + mentions + sources of trust |
| conversions | conversions + lead quality |
The most important conclusion is simple: we do not replace old metrics with new ones. We connect them.
If a company only looks at positions, they don’t see AI citations. If he only looks at organic traffic, he may not see any impact on brand search. If he only looks at sessions, he may not see the quality of the leads.
The most common mistakes companies make when combining SEO and GEO
The biggest mistake is companies trying to skip the basics.
They want to be visible in AI, but at the same time they have problems with indexation, chaotic site structure, generic content, lack of opinions and poorly configured analytics.
In such a situation, GEO is not a shortcut. First you need to sort out the foundation.
The most common errors are:
treating GEO as a replacement for SEO,
Ignoring technical SEO
focusing exclusively on new AI tools,
writing content "under AI" without a website strategy,
lack of indexation of important subpages,
blocking robots,
no structured data,
no internal linking,
publishing general content without specifics,
lack of case studies and evidence of experience,
analyzing only items,
no monitoring of AI responses,
no conversion measurement,
no work on the brand outside your own website.
The second common mistake is contrasting SEO and GEO. Companies ask: “what to choose?” Meanwhile, the better question is: “how to combine both approaches?”
The third mistake is treating AI Search as a one-time project. Visibility in AI will vary. Models, sources, citations, and the presentation of responses will evolve. Therefore, monitoring, content updating and regular competition analysis are needed.
When should a company start with SEO and when with GEO?
Not every company starts from the same place. Priorities depend on site health, branding, content and analytics.
| company’s situation | priority |
|---|---|
| the website has indexation problems | technical SEO first |
| the offer is illegible | information structure and service pages |
| the content is general | content SEO + answer-first |
| the brand is poorly visible outside the website | authority, opinions, mentions |
| the website has a good SEO foundation | GEO development, AI monitoring, citations |
| the store has many products | product data, schema, categories, feeds |
| traffic is down, but conversions are stable | traffic quality analysis and brand search |
| competition is emerging in AI | monitoring responses and strengthening sources of trust |
If the foundation is weak, we start with SEO. If the foundation is good, we develop GEO, decision-making content, citations, AI monitoring and brand presence in responses.
There is no point in optimizing a website for AI that does not have an organized offer, indexation, structured data and basic content. Likewise, there is no point in ending your activities with classic SEO if the competition starts to appear in AI responses and comparisons.
Do you want to check whether your SEO really supports visibility in AI?
We can analyze the technique, content structure, data, authority and brand presence of AI responses.
Summary: SEO is the foundation, GEO is the extension
SEO still makes sense, but it needs to be understood more broadly.
Not as a separate service separate from AI, but as the foundation for visibility across the entire search ecosystem.
SEO is responsible for ensuring that the page can be found, downloaded and understood.
AEO helps you prepare specific answers.
GEO is responsible for ensuring that the brand, domain or content has a greater chance of being used in AI responses.
Structured data organizes information.
Authority, opinions and mentions increase credibility.
Analytics show whether your actions translate into visibility, citations, traffic, leads and sales.
The best strategy isn't choosing between SEO and GEO. It is a combination of technique, content, structure, authority, branding and measurement.
SEO gives the website its foundation. GEO builds visibility on it in AI responses.
Companies that combine both approaches will be better prepared for a search in which not only position counts, but also trust, citation and brand presence in the customer’s decision.
We can prepare an SEO + GEO audit that will show whether your website has solid foundations for visibility in Google, AI Overviews, ChatGPT Search and Perplexity.
FAQ
Czy SEO nadal ma sens w erze AI?
Yes. SEO is still the foundation of visibility as it is responsible for indexing, technique, structure, content and authority of the site. Without these elements, GEO has a weaker starting point.
Czy GEO zastępuje SEO?
No. GEO does not replace SEO. GEO extends SEO with visibility in generative responses, citations, comparisons and AI recommendations.
Co jest ważniejsze: SEO czy GEO?
They should not be treated as competition. SEO is the foundation and GEO is the extension layer. The most effective strategy combines both approaches.
Jak techniczne SEO wpływa na widoczność w AI?
Technical SEO determines whether robots can retrieve, index and understand your content. If a page is blocked, slow, poorly rendered or unreadable, AI systems may not use it.
Jakie treści najlepiej wspierają GEO?
Specific, up-to-date, structured content, written using the answer-first model, based on examples, data, case studies, comparisons and user decision-making questions works best.
Czy dane strukturalne pomagają w GEO?
Yes, they help organize information about the company, services, products, authors, opinions and relationships between content. However, they are not an independent guarantor of visibility in AI. They work best as part of a broader SEO + GEO strategy.
Jak mierzyć połączenie SEO i GEO?
You need to combine classic SEO metrics, such as positions, clicks, CTR and organic traffic, with new metrics: brand presence in AI, citations, traffic from AI Assistants, brand search, lead quality and brand share relative to the competition.
Kiedy zacząć od SEO, a kiedy od GEO?
If the website has technical, indexation or content problems, you first need to sort out SEO. If the foundation is good, you can develop GEO more strongly: citations, AI monitoring, decision-making content and brand presence in responses.
Author
Piotr Rompca
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