Understanding when to use Generative Engine Optimization vs Search Engine Optimization — and why you probably need both.
| Aspect | SEO | GEO |
|---|---|---|
| Target | Google, Bing search rankings | ChatGPT, Perplexity, Claude, Gemini responses |
| Goal | Rank in top 10 results | Be cited/mentioned in AI responses |
| Mechanism | Crawling, indexing, ranking algorithms | Training data, RAG, real-time retrieval |
| Key Factors | Backlinks, keywords, technical SEO | Brand prominence, multi-platform presence, content structure |
| Measurement | Rankings, organic traffic, CTR | Citation frequency, sentiment, visibility share |
| Timeline | Weeks to months | Varies by AI system (hours to months) |
| Maturity | 25+ years, well-established | 2-3 years, rapidly evolving |
Quick Answer: SEO optimizes for search engine rankings (Google, Bing). GEO optimizes for AI-generated responses (ChatGPT, Perplexity, Claude). The key difference: SEO gets you on a list of links; GEO gets you mentioned in conversational answers. In 2026, most brands need both — SEO for search traffic, GEO for the growing segment of users who ask AI instead of searching.
Search Engine Optimization (SEO) is the practice of improving a website's visibility in search engine results pages (SERPs). For over two decades, SEO has been a core digital marketing discipline.
SEO focuses on:
The goal: appear in the top 10 organic results for relevant queries, driving traffic to your website.
Generative Engine Optimization (GEO) is the practice of improving a brand's visibility in AI-generated responses. The term emerged as AI systems like ChatGPT, Perplexity, and Claude became significant sources of information.
GEO focuses on:
The goal: be mentioned (and cited) when AI systems answer questions relevant to your brand.
User behavior is fragmenting. People now seek information through:
Optimizing for Google rankings alone means missing users who ask ChatGPT "what's the best X for Y" instead of searching.
A study of 680 million AI citations found that backlinks — the cornerstone of SEO — have weak or neutral correlation with AI visibility. Instead, brand search volume (how often people search for your brand specifically) is the strongest predictor of AI citations.
This means SEO tactics don't automatically transfer to GEO success. They're related but distinct disciplines.
Despite differences, significant overlap exists:
Good SEO practices provide a foundation for GEO. But GEO adds requirements that traditional SEO doesn't address.
Backlinks remain the strongest SEO ranking factor. In GEO, research shows they have minimal direct impact. AI systems care more about brand prominence and content quality than link profiles.
SEO requires keyword targeting. GEO responds to natural language questions — keyword stuffing actually hurts GEO performance (10% worse on Perplexity according to research).
SEO focuses on your website. GEO rewards presence across multiple platforms — brands appearing on 4+ platforms are 2.8x more likely to be cited by AI.
Google indexes and ranks pages. AI systems may use training data (months old), RAG retrieval (minutes old), or real-time search (seconds old). The timing dynamics differ significantly.
For most brands in 2026, we recommend:
Google's AI Overviews and Bing's Copilot are merging search and AI. This convergence means the distinction between SEO and GEO may blur over time.
For now, understanding both disciplines gives you an edge. Brands that only optimize for search rankings will miss AI visibility. Brands that only focus on AI will miss the majority of search traffic.
The answer isn't SEO or GEO — it's SEO and GEO.