The landscape of Search Engine Optimization is undergoing a seismic shift. With the rise of Large Language Models (LLMs) like ChatGPT, Claude, and Gemini, users are increasingly turning to AI assistants for answers instead of traditional search engines.
What is AI SEO?
AI SEO, or LLM Optimization, is the practice of optimizing your digital content to be cited, referenced, and recommended by AI models. Unlike traditional SEO which focuses on ranking links on a SERP (Search Engine Results Page), AI SEO focuses on becoming part of the training data and context window of these powerful models.
Generative Engine Optimization (GEO)
This new field is often called Generative Engine Optimization (GEO). It requires a shift in strategy:
- Entity Authority: Establishing clear semantic relationships between your brand and key industry concepts.
- Contextual Density: Providing comprehensive, fact-rich content that LLMs can easily parse and verify.
- Citation Optimization: Ensuring your content is referenced by high-authority sources that are already in the model's training set.
SEO for AI Search Engines
To rank in AI search engines, you need to understand how they "read." They don't just look for keywords; they look for meaning, context, and consensus. SEORank helps you measure this new visibility metric, giving you insights into how often and in what context your brand appears in AI-generated responses.
As we move towards a generative web, the brands that master both traditional SEO and LLM optimization will dominate the digital landscape.