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Abdel Jarab Kedar
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Search is changing.
For years, businesses primarily optimized their websites to appear in traditional search engine results. The objective was relatively straightforward: help search engines crawl, understand, index, and rank webpages so potential customers could discover them.
That discipline is known as Search Engine Optimization, or SEO.
Today, users can also ask conversational questions directly to AI-powered search and answer systems. Instead of receiving only a list of webpages, they may receive a synthesized response that draws on information from multiple sources and, depending on the platform and experience, provides citations or links to those sources.
This has created a new optimization discipline commonly called Generative Engine Optimization, or GEO.
GEO and SEO are closely related, but they are not identical.
SEO focuses heavily on improving a website's visibility and performance in search engines. GEO focuses on making a brand, its expertise, and its content easier for generative AI systems to discover, understand, retrieve, and potentially reference when generating answers.
The important point for businesses is that GEO should not be treated as a replacement for SEO.
A strong search strategy increasingly needs to account for both traditional search visibility and AI mediated discovery.
What Is SEO?
Search Engine Optimization is the practice of improving a website and its content so that search engines can discover, understand, and potentially show its pages for relevant searches.
SEO includes several interconnected areas, including:
Technical accessibility and crawlability
Website architecture
Search intent
Keyword and topic research
Content quality
Internal linking
Page experience
Structured data
Authority and reputation
Local search optimization
Digital PR and relevant mentions
Monitoring organic search performance
Google's documentation describes Search as a system that uses multiple automated systems and signals to identify relevant and useful results. Google also recommends following its Search Essentials and providing helpful, reliable, people first content.
SEO therefore remains fundamentally important.
If a website cannot be properly crawled, indexed, understood, or accessed, it becomes much harder for search systems to use that website as a source of information.
What Is GEO?
Generative Engine Optimization refers to the practice of improving a brand's digital presence so that generative AI and AI powered search systems can more effectively discover, understand, retrieve, and represent information about that brand.
The concept is broader than simply adding keywords to an article.
A GEO strategy can involve:
Creating clear answers to important customer questions
Building topical depth around a subject
Demonstrating first hand expertise
Providing factual and verifiable information
Establishing consistent brand and entity information
Connecting related topics through internal links
Using structured data where appropriate
Publishing original research, statistics, examples, and insights
Building authoritative third party references
Making important information easy for machines and people to understand
Ensuring important pages are technically accessible to relevant crawlers
The exact mechanisms vary between AI systems.
For example, OpenAI documents OAI SearchBot as a crawler used to surface websites in ChatGPT search results. OpenAI also explains that websites can control access to this crawler through robots.txt.
Microsoft's documentation similarly describes AI search experiences that use semantic understanding, search retrieval, contextual information, and grounding to produce answers.
This is why GEO should not be described as a single ranking algorithm.
There is no universal "GEO score" or one optimization checklist that guarantees inclusion in every AI answer.
GEO vs SEO: The Core Difference
The simplest way to understand the difference is this:
SEO primarily optimizes a website for discovery and visibility in search results.
GEO focuses on making information about a brand useful, understandable, retrievable, and referenceable within generative search experiences.
There is considerable overlap between the two.
SEO | GEO |
|---|---|
Focuses on search engine visibility | Focuses on visibility within generative search experiences |
Optimizes webpages for relevant searches | Optimizes information for AI mediated discovery and answers |
Strong emphasis on crawling and indexing | Strong emphasis on discoverability, retrieval, context and source understanding |
Keyword and topic targeting are important | Topic coverage and natural language answers are important |
Search intent is central | User questions and conversational intent are central |
Internal linking supports discovery and site architecture | Internal linking can help establish relationships between related information |
Technical SEO matters | Technical accessibility also matters |
Authority and reputation matter | Authority, corroboration and identifiable expertise can matter |
Rankings and organic traffic are common KPIs | Citations, mentions, AI visibility and referral traffic can be additional KPIs |
Primarily evaluates performance in search engines | Evaluates visibility across AI search and answer experiences |
This comparison should not be interpreted as meaning that AI systems ignore traditional SEO signals.
In many cases, the foundations overlap.
Why SEO Still Matters for GEO?
One of the biggest misconceptions about GEO is that businesses can simply stop doing SEO and switch entirely to AI optimization.
AI search experiences can use information retrieved from the web. OpenAI, for example, states that public websites can appear in ChatGPT search and recommends allowing OAI SearchBot when publishers want their content to be discoverable and potentially cited or linked.
Microsoft documentation also describes generative answers that retrieve relevant information from websites and then generate grounded responses from those sources.
This makes technical accessibility and content discoverability important to both traditional and AI search.
Consider a simple example.
A company publishes an excellent article about commercial solar installation.
If the page:
Cannot be crawled
Is blocked from relevant search systems
Has poor information architecture
Contains little useful information
Provides no clear explanation of the company's expertise
Is buried inside an unclear website structure
then creating an additional "GEO optimized" paragraph will not solve the underlying problem.
GEO starts with strong information foundations.
How Search Behavior Is Changing?
Traditional search often begins with a query such as:
"best CRM software for small businesses"
The user receives a search results page containing links, advertisements, features, and other search elements.
AI search can instead support more conversational requests such as:
"I run a 20 person consulting company. Which CRM features should I prioritize if my team needs lead tracking, automated follow ups and integrations with email?"
The second query contains more context.
AI systems can interpret the question, retrieve information, synthesize multiple sources, and present a conversational response.
Microsoft documents that Copilot Search supports both traditional keyword queries and natural language queries, while using semantic understanding to interpret context and meaning.
OpenAI similarly describes ChatGPT search as combining conversational interaction with web search and links to relevant sources.
This creates an important content opportunity.
Businesses should not only ask:
"Which keyword should this page rank for?"
They should also ask:
"Which questions should our brand be able to answer clearly?"
Keywords vs Questions and Topics
Keywords remain useful.
They help businesses understand how people search, identify demand, structure pages, and build content around relevant subjects.
But a GEO strategy should go further.
Instead of creating one page around:
"commercial real estate Dubai"
a broader information architecture could address:
What is commercial real estate?
What types of commercial properties are available in Dubai?
How does commercial property investment work?
What factors affect commercial property value?
What should businesses consider before leasing commercial space?
What are the differences between office, retail and industrial property?
What documents may be required?
What factors affect location selection?
What questions should investors ask before purchasing?
This creates a more comprehensive information environment around the entity and topic.
The objective is not to write thousands of pages.
The objective is to make the website genuinely useful for the questions its audience asks.
Entity Optimization Becomes More Important
Traditional SEO often starts with keywords.
GEO increasingly requires businesses to think about entities and relationships.
An entity could be:
A company
A person
A product
A service
A location
An organization
An industry
A technology
A specific concept
For example, imagine a company called ABC Dental Clinic.
A search optimized website might repeatedly target:
dentist Dubai
A stronger entity focused website could clearly establish:
ABC Dental Clinic → dental clinic → Dubai → specific location → dentists → dental services → treatments → specialties → opening hours → contact information → expertise → supporting content
The objective is to make the organization's identity and relationships clear.
Google itself provides Organization structured data specifically to help Google understand an organization's details and disambiguate the organization in search.
Structured data does not guarantee rankings or AI citations.
However, accurate structured information can help search systems understand what a page or organization represents.
Topical Authority Matters in Both SEO and GEO
Suppose two companies publish an article about cybersecurity.
Company A publishes one 800 word article titled:
"What Is Cybersecurity?"
Company B develops a comprehensive resource covering:
Cybersecurity fundamentals
Common threats
Phishing
Ransomware
Endpoint security
Cloud security
Password security
Employee awareness
Security assessments
Incident response
Compliance
Industry specific risks
Practical examples
Original research
Expert commentary
The second website provides a much broader information environment.
This does not mean publishing more pages automatically produces better search performance.
Quality matters.
But comprehensive topical coverage can help establish the relationships between concepts and demonstrate that a business genuinely understands the subject it discusses and that AI systems can cite it as a reliable source.
For GEO, this becomes particularly useful because generative systems need contextual information when interpreting questions and identifying relevant sources.
First Hand Experience Is Important
AI systems have access to enormous amounts of information.
That makes generic content easy to reproduce.
What is harder to reproduce is genuine first hand knowledge.
Consider two statements:
"Regular website audits are important for SEO."
and:
"During a technical audit of a multilingual ecommerce website, we found that several translated URLs were being indexed under the wrong language directory. Correcting the canonical and internal linking relationships helped consolidate the site's content structure."
The second example contains an experience based observation. (For a real-world example of this principle in action, see How We Got a UAE Restaurant Recommended by ChatGPT in 30 Days.)
For businesses, first hand information can include:
Original research
Customer questions
Case studies
Project examples
Before and after findings
Expert commentary
Product testing
Industry data
Original statistics
Methodologies
Real implementation experiences
This type of information gives content something beyond generic summaries.
Citations and Mentions Matter Differently From Traditional Backlinks
Backlinks remain an important part of traditional SEO.
But GEO introduces another visibility layer: being referenced as a source.
For example, an AI generated answer might mention a business or cite its website as a source.
This is different from receiving a traditional organic ranking position.
A brand may therefore need to monitor:
Which AI systems mention it
Which queries trigger mentions
Which pages are cited
Which competitors appear alongside it
Whether the information represented about the brand is accurate
Which third party sources discuss the brand
Which pages receive AI referral traffic
However, businesses should be careful with claims such as "getting 10 citations guarantees AI rankings."
There is no universal formula that guarantees an AI system will cite a particular webpage.
GEO Is Not Just "Writing for ChatGPT"
Another misconception is that GEO means writing articles specifically for ChatGPT.
That approach is too narrow.
AI search is an evolving ecosystem.
Different platforms can use different retrieval systems, indexes, models, ranking processes, grounding methods, and product experiences.
For example, OpenAI documents OAI SearchBot for search discovery, while Microsoft describes Copilot Search as using semantic understanding and contextual retrieval.
Therefore, businesses should avoid building a strategy around a single AI platform.
Instead, build an information ecosystem that is:
Crawlable → Understandable → Useful → Credible → Well connected → Consistent → Accessible
That foundation can support multiple discovery environments.
How Technical SEO Supports GEO
Technical SEO is sometimes treated as separate from GEO.
In reality, many technical fundamentals remain relevant. (For the complete technical checklist this section summarizes, see How to Optimise Your Website for AI Search Engines in 2026?.)
A GEO ready website should consider:
Crawlability Important pages should be accessible to the relevant crawlers.
OpenAI explicitly states that blocking OAI SearchBot can prevent a website from appearing in ChatGPT search results, although navigational links may still appear in some circumstances.
Indexability Pages that businesses want discovered should not accidentally be blocked through technical directives such as noindex.
Site Architecture Important information should be logically connected.
Internal Linking Related pages should reinforce relationships between subjects, services, products, and supporting information.
Structured Data Where appropriate, structured data can provide additional context about articles, organizations, products, local businesses, and other entities.
Google explains that structured data helps it understand page content, although structured data does not guarantee that a particular search feature will appear.
Page Experience Fast, usable, mobile friendly pages remain important for users and search visibility. Google notes that page experience includes factors such as Core Web Vitals, mobile usability, security and avoiding intrusive experiences.
How Content Strategy Changes With GEO
Traditional SEO content strategy often follows a workflow such as:
Keyword research → Search intent → Content → Optimization → Internal links → Promotion → Measurement
A GEO focused workflow can expand this:
Audience questions → Topic/entity mapping → Search intent → Answer architecture → Expert information → Supporting evidence → Internal linking → Structured data → Distribution → AI visibility monitoring
This does not eliminate keyword research.
Instead, keywords become one input into a broader information strategy.
SEO vs GEO: Measuring Success
Measurement is another important difference.
SEO commonly tracks:
Organic clicks
Organic impressions
Rankings
Organic sessions
Conversion rate
Leads
Revenue
Indexed pages
Crawl issues
Backlinks
GEO can add additional visibility indicators:
AI mentions
AI citations
Cited URLs
Brand presence for target prompts
Share of AI responses
Referral traffic from AI platforms
Accuracy of brand information in AI answers
Competitor visibility within the same prompts
Changes in branded search behavior
These metrics should be treated as complementary rather than as replacements for established SEO metrics.
A business should still care whether visibility generates qualified visitors, leads, customers, or revenue.
A Practical GEO + SEO Strategy
For most businesses, the practical approach is not:
SEO OR GEO
It is:
SEO + GEO
A combined strategy can follow these steps.
Step 1: Build a technically accessible website
Make sure important pages can be crawled, indexed and accessed.
Review:
Robots.txt
XML sitemap
Canonicals
Internal links
Indexation
Redirects
Mobile experience
Core Web Vitals
JavaScript rendering
Page accessibility
Step 2: Define your entities
Clearly establish:
Who the company is
What it offers
Where it operates
Who it serves
Which products or services it provides
What expertise it has
Which people represent the organization
Step 3: Build topic clusters
Create supporting content around important commercial topics.
For example:
Core service: Generative Engine Optimization
Supporting topics:
ChatGPT search
Google AI features
Structured data
AI search measurement
Content optimization for AI search
Step 4: Add original expertise
Include information competitors cannot simply rewrite.
Use:
Original research
Client insights
Case studies
Expert opinions
Data
Methodologies
Examples
Screenshots where appropriate
Real project experience
Step 5: Make important answers easy to extract
Use clear headings and direct explanations.
For example:
What is GEO?
Follow the heading with a concise definition before expanding into additional detail.
This helps both human readers and systems processing the page understand its purpose.
Step 6: Strengthen authority signals
Build a credible ecosystem around the business.
This can include:
Relevant publications
Industry organizations
Expert profiles
Digital PR
Partnerships
Industry mentions
Original research
High quality references
The focus should be relevance and credibility rather than simply accumulating links.
Step 7: Monitor both search and AI visibility
Do not rely on a single dashboard.
Track traditional search performance alongside AI visibility and business outcomes.
Common GEO Mistakes
Mistake 1: Treating GEO as a replacement for SEO
GEO and SEO overlap significantly.
A technically weak website does not become strong simply because its content mentions AI search.
Mistake 2: Creating content solely for AI systems
Content should serve people first.
Google's guidance emphasizes helpful, reliable, people first content rather than content created primarily to manipulate search rankings.
Mistake 3: Publishing large volumes of generic AI generated content
More content does not automatically create more authority.
If dozens of pages repeat information that already exists across the web, they may add little unique value.
Mistake 4: Assuming there is a GEO ranking formula
There is no publicly documented universal formula that guarantees a webpage will be cited by every generative search system.
AI platforms differ in how they retrieve and present information.
Mistake 5: Ignoring brand consistency
If a company's name, services, locations, descriptions and expertise differ substantially across its website and third party sources, it becomes harder to establish a consistent digital identity.
Mistake 6: Using structured data as a shortcut
Structured data can help search engines understand content, but it is not a guarantee of rankings, rich results, or AI citations. Google explicitly notes that structured data features are not guaranteed to appear.
Mistake 7: Measuring only rankings
Rankings remain useful, but they are not the entire picture of search visibility.
Businesses should connect visibility metrics with traffic, engagement, leads, sales and brand discovery.
The Future of Search Is Not Simply SEO vs GEO
The discussion around SEO vs GEO can make the two disciplines appear like competitors.
They are not.
SEO developed around helping search engines discover and rank useful webpages.
GEO responds to a broader search environment in which users increasingly interact with systems that retrieve information and generate answers.
The underlying requirement remains remarkably consistent:
Businesses need useful, trustworthy, accessible and clearly structured information.
The difference is how that information is discovered and presented.
A webpage may appear as a traditional organic result.
It may also become a source used within an AI generated response.
It may be linked directly, cited within an answer, discovered through a conversational query, or never appear for a particular query at all.
That means search visibility is becoming more multidimensional.
GEO and SEO: A Unified Search Strategy
The strongest approach is to build a website that works well across multiple discovery environments.
That means:
SEO provides the technical and search foundation.
Content provides useful information.
Entity signals provide context.
Expertise provides credibility.
Structured data provides machine readable context where appropriate.
Authority and mentions strengthen the wider digital ecosystem.
GEO extends this foundation into generative search experiences.
Rather than asking whether a business should invest in SEO or GEO, the better question is:
Can your brand be discovered, understood, trusted and accurately represented wherever your customers search for information?
That is the broader search visibility challenge businesses need to prepare for.
Final Takeaway
SEO and GEO are not competing strategies.
SEO remains essential for technical accessibility, organic search visibility, website discoverability and sustainable search performance.
GEO expands the focus toward AI mediated discovery, conversational questions, entity understanding, source attribution, topical context and visibility within generative answers.
The brands best positioned for the changing search environment will not simply optimize individual pages for keywords.
They will build credible information ecosystems around their expertise, products, services, people and customers.
The goal is no longer just to be found when someone searches.
It is to make your brand's information easy to discover, understand, verify and reference across the evolving search ecosystem.
For businesses preparing for AI search, GEO should therefore be viewed not as the end of SEO, but as the next layer of a broader search visibility strategy. (Ready to see what this looks like in practice? Explore our Services, find out how long GEO takes to show results, or read what to look for in a GEO agency before you hire one.)
Frequently Asked Questions
Is GEO replacing SEO?
No. GEO does not replace SEO. The two disciplines overlap, and many technical and content foundations remain important for both traditional search and AI powered search experiences.
What is the main difference between GEO and SEO?
SEO primarily focuses on improving a website's visibility and performance in search engines. GEO focuses on improving the discoverability, contextual understanding and potential representation of a brand's information within generative AI search experiences. (See our full comparison in AI Search vs Google Search.)
Does GEO mean optimizing content for ChatGPT? Not exclusively. AI search platforms use different technologies and retrieval systems. A sustainable GEO strategy should focus on useful, authoritative and accessible information rather than attempting to optimize for only one AI platform.
Are keywords still important for GEO? Yes. Keywords can help identify audience demand and topics. However, GEO also requires understanding conversational questions, entities, relationships, context and the broader topic surrounding a query.
Does structured data improve GEO? Structured data can help search engines understand specific information on a webpage, but it does not guarantee rankings or AI citations. Google states that structured data can help it understand page content, while search features using that data are not guaranteed.
How do I measure GEO performance? Possible GEO indicators include AI mentions, citations, cited URLs, visibility for target prompts, AI referral traffic and brand representation. These should be evaluated alongside traditional SEO metrics such as organic traffic, impressions, clicks, conversions and revenue. (Read more in Understanding AI Visibility: The New Ranking Metric.)
Do backlinks still matter with GEO?
Traditional authority signals and relevant third party references remain useful parts of a broader digital strategy. GEO should not be treated as a system in which backlinks suddenly become irrelevant.
Can a website rank well in Google but have low AI visibility?
Yes. Visibility can differ across search experiences. Different platforms can use different retrieval and ranking systems, so strong performance in one environment does not guarantee equivalent visibility in another.
What should businesses do first to prepare for GEO?
Start with the fundamentals: make the website technically accessible, establish clear entity information, create useful topic coverage, demonstrate first hand expertise, strengthen relevant authority signals and monitor how the brand appears across emerging AI search experiences. (See our complete checklist in How to Optimise Your Website for AI Search Engines in 2026?.)
Is GEO a separate service from SEO?
It can be offered as a distinct service because its objectives and measurement can extend beyond traditional SEO. However, the most effective implementation will often build on an existing SEO and content foundation rather than operate completely separately. (If you're weighing whether to build this in-house or bring in a specialist, see The GEO Agency vs Doing It In-House.)