The Difference Between GEO and Semantic SEO
As SEO has evolved, the conversation shifted from keywords to meaning—enter semantic SEO.
Now we’re seeing a new shift: from meaning to inclusion in AI-generated content. That’s the role of GEO (Generative Engine Optimization).
Both are important, but they’re not the same. Let’s explore the difference—and where they overlap.
Semantic SEO in a Nutshell
Semantic SEO is about helping search engines understand the meaning behind your content.
It emphasizes:
- Context over exact match keywords
- Topic clustering and intent
- Structured markup (like schema.org)
- Clear headings and topic hierarchy
The goal: help search engines like Google understand what your page is about and how it relates to other content.
GEO: A Different Goal Entirely
GEO is about helping AI mention your brand at all. It focuses on:
- Being included in LLM training sets or retrieval snapshots
- Ensuring clear entity resolution (what your brand does)
- Structuring content for summarization and reuse
- Monitoring brand visibility across ChatGPT, Gemini, Claude, etc.
You’re not optimizing for clicks—you’re optimizing for inclusion in the response itself.
For example, semantic SEO might help you rank on Google.
GEO helps you get named when someone asks ChatGPT, “What’s a good GEO tool?”
Do They Work Together?
Yes. Strong semantic SEO can lay the foundation for successful GEO—especially when it comes to:
- Internal linking
- Schema markup
- Clear explanations of entities and relationships
But if you stop there, you’re leaving AI visibility to chance.
You need tools like PromptSeed to simulate AI behavior and identify what they’re picking up—and what they’re ignoring.
Also check out the first GEO metrics to track to see how to turn strategy into measurable results.
Semantic SEO gets you indexed.
GEO gets you mentioned.
Want both? Make sure your strategy includes both structures and simulation.