Generative Engine Optimization (GEO)
The practice of improving how brands and content are retrieved, cited, and recommended inside AI-generated answers.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of improving how your brand, products, and content are retrieved, cited, and recommended inside AI-generated answers. This includes platforms like ChatGPT, Google Gemini, Perplexity, Microsoft Copilot, and Google AI Overviews.
While traditional SEO focuses on ranking web pages in search engine results pages (SERPs), GEO focuses on the synthesis layer — the point where large language models (LLMs) generate a response by combining information from multiple sources.
How GEO Differs from SEO
| Aspect | Traditional SEO | GEO |
|---|---|---|
| Goal | Rank pages in SERPs | Get cited in AI-generated answers |
| Output | Blue links, featured snippets | Synthesized text with citations |
| Ranking signals | Links, content quality, technical SEO | Training data, source authority, content structure |
| Measurement | Search Console, rank trackers | AI visibility platforms like Superlines |
Why GEO Matters
According to Gartner, 50% of traditional search traffic will be replaced with generative AI by 2028. As users increasingly rely on AI assistants to discover products, evaluate options, and make decisions, brands that are not visible in AI-generated answers risk losing awareness, consideration, and revenue.
Key GEO Strategies
- Monitor AI visibility — Track where your brand appears across AI models using tools like Superlines
- Optimize content structure — Use clear headings, structured data, and factual claims that LLMs can extract
- Build topical authority — Create comprehensive content that establishes expertise in your domain
- Earn citations — Produce original research, data, and insights that AI models reference
- Track competitors — Understand how competitor brands are positioned in AI-generated answers
How to Measure GEO Success
GEO success is measured through AI Search visibility metrics, including:
- Brand Visibility Score — How often your brand appears in relevant AI-generated answers
- Citation Rate — How often sources from your domain are cited
- Share of Voice — Your brand’s presence relative to competitors
- Sentiment Analysis — How positively AI models describe your brand
Platforms like Superlines provide these metrics across all major AI models.