SEO vs. GEO: What's the Difference and Do You Need Both?
SEO asks whether you can rank. GEO asks whether you can become part of the answer. Here's how the two differ, why SEO isn't dead, and why most businesses need both.
SEO has been part of the marketing playbook for years.
Now there's another acronym appearing in marketing conversations: GEO.
Generative Engine Optimization.
So what exactly is the difference?
And if you're already investing in SEO, do you need to start doing GEO as well?
The short answer is: you probably don't want to treat them as two completely separate worlds.
What is SEO?
SEO, or Search Engine Optimization, is the practice of improving your website and content so search engines can discover, understand, and surface it for relevant searches.
That can include things like:
- Technical website health
- Page structure
- Search intent
- Content quality
- Internal linking
- Page titles and descriptions
- Structured data
- Authority and links
- Relevant keywords
- Helpful content
The goal is usually to increase your visibility in traditional search results.
What is GEO?
GEO stands for Generative Engine Optimization.
The term is used to describe efforts aimed at improving how a business or piece of content appears within AI-generated answers.
Instead of asking:
"How do I rank for this keyword?"
You're also asking:
"What happens when someone asks an AI assistant this question?"
For example, a traditional search might be:
"best CRM for startups"
An AI search might be:
"I'm running a 30-person SaaS startup. What CRM should we use if we need automation, sales reporting, and integrations with Slack and HubSpot?"
The second question is much more conversational and specific.
The answer may contain a shortlist rather than ten pages of search results.
Why SEO still matters
It's tempting to think GEO means SEO is dead.
It doesn't.
Google's current documentation on AI features specifically says the same foundational SEO practices continue to matter for visibility in its generative AI search experiences.
That's logical.
AI systems still need to discover and understand information.
A badly structured, inaccessible, vague website doesn't suddenly become useful because an AI is reading it.
Your technical foundations matter. Your content matters. Your reputation matters. Your website still matters.
So what changes?
The biggest shift is the way people ask questions.
Traditional search tends to encourage shorter queries:
"B2B video agency London"
AI search encourages much more context:
"Can you recommend a B2B video agency in London that works with SaaS companies and can handle strategy as well as production?"
That creates more opportunities for businesses with genuinely useful information.
Your website shouldn't just say:
"We make amazing videos."
It could explain:
- Which industries you serve
- What types of videos you produce
- Whether you work with startups
- Typical project types
- Your process
- Pricing approach
- Examples
- Client results
- What you're particularly good at
- What you aren't the right fit for
That's useful information for humans.
It's also much easier for AI systems to work with.
SEO asks: can I rank? GEO asks: can I become part of the answer?
They're related questions.
But they're not identical.
Imagine your company ranks #1 for an important keyword.
Great.
Now ask ChatGPT:
"What are the best companies for this service?"
If your company doesn't appear, you have an AI visibility gap.
On the other hand, an AI assistant might mention your company even when the user doesn't search your exact brand name.
That's a different kind of discovery.
Do you need both?
For most businesses, yes.
Think of SEO as helping your business remain discoverable across search engines.
Think of AI visibility as making sure the information available about your business can support AI-generated answers and recommendations.
You don't need to create two completely separate content strategies. In many cases, the same strong content can help with both.
A detailed comparison page can be useful in Google. It can also answer an AI user's question.
A detailed product page can rank organically. It can also give an AI system useful information about your product.
A good case study can attract search traffic. It can also provide evidence about what your company actually does.
What should you do now?
Start by auditing what already exists.
Search for your main commercial questions on:
- ChatGPT
- Claude
- Perplexity
Don't only search your company name. Search the questions your customers ask before they know who you are.
Then compare the results.
Who gets mentioned? Which companies are missing? Which sources are being used? What information does the AI have about your business? Are the answers accurate?
That's much more useful than blindly adding "GEO" to your marketing plan.
SEO isn't dead. Search is getting bigger.
The interesting thing about AI search isn't that it replaces everything that came before it.
It's that people now have another way to discover information.
Google still matters. Websites still matter. Content still matters.
But customers can now ask increasingly detailed questions and expect a synthesized answer.
That means businesses need to think beyond rankings.
They need to think about whether their brand can become part of the answer.