Blog›GEO vs SEO: What's the Difference and Why You Need Both
GEO vs SEO: What's the Difference and Why You Need Both
March 14, 2026 · DekAI Team

You've spent years optimising for Google. Now there's a new game in town: Generative Engine Optimization (GEO) — the discipline of getting your business recommended by AI models.
Here's what's different, what's the same, and what you need to do about it.
What Is SEO?
Search Engine Optimization is the practice of improving your website so it ranks higher in traditional search engine results pages (SERPs). When someone searches "personal injury lawyer Dallas," SEO determines whether your firm appears on page one or page five.
SEO signals include:
- Keyword relevance and usage
- Backlinks from authoritative domains
- Page speed and Core Web Vitals
- Mobile-friendliness
- Content depth and quality
The output: a ranked list of blue links.
What Is GEO?
Generative Engine Optimization is the practice of improving your online presence so AI assistants recommend your business in their generated answers.
When someone asks ChatGPT "who is the best cosmetic dentist in Austin?" — GEO determines whether your practice gets named.
GEO signals include:
- Google Business Profile completeness and star rating
- Review volume and sentiment across platforms
- Structured data (schema markup)
- Consistent business information across directories (NAP consistency)
- Authoritative mentions in trusted sources
- Clear, structured website content
The output: a named recommendation in a conversational AI answer.
Key Differences
| | SEO | GEO | |---|---|---| | Target | Search engine crawlers | AI model training data and real-time retrieval | | Output | Ranked list of links | Named recommendation in prose | | Measured by | Rankings, clicks, impressions | Mention rate, position, sentiment, coverage | | Primary signals | Backlinks, keywords, technical | GBP, reviews, schema, citations | | Timeline | Weeks to months | Months (training) or days (Perplexity) |
What's the Same
Don't throw out your SEO playbook. Many GEO signals overlap significantly with SEO:
- Content quality — AI models favour clear, authoritative, well-structured content, just like Google does
- Backlinks and citations — Being mentioned in authoritative sources helps both rankings and AI recommendations
- Technical foundation — Fast, crawlable, mobile-friendly sites get indexed by both search engines and AI crawlers
- Local signals — Google Business Profile optimisation benefits both local SEO and AI visibility
What GEO Adds That SEO Doesn't Cover
1. Model-specific optimisation
Different AI models have different strengths. Perplexity is real-time and cites sources like a search engine. ChatGPT and Claude rely more heavily on training data. Gemini integrates heavily with Google services. Optimising for all four requires understanding each model's behaviour.
2. Review sentiment, not just volume
SEO cares about review count. GEO cares about what reviews actually say. AI models read review content and synthesise it — a business with 500 reviews averaging 4.2 stars may get recommended less than one with 80 reviews averaging 4.8 with consistent praise for specific attributes.
3. Structured data depth
Basic schema markup is table stakes for SEO. For GEO, deeper structured data — LocalBusiness schema, FAQPage, Service schema, HowTo — gives AI models more to work with when deciding who to recommend.
4. AI-specific files
llms.txt is an emerging standard (similar to robots.txt) that tells AI models what your site is about. Not a ranking factor yet, but increasingly recognised by Perplexity and other real-time AI systems.
The Bottom Line
SEO and GEO are complementary, not competing. The businesses that will win the next decade are those that do both well — traditional search optimisation AND AI visibility optimisation.
The good news: much of what you've already done for SEO creates a foundation for GEO. The additional work is focused, measurable, and faster to act on than traditional SEO.
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