Deep dives on AI visibility, content extractability, and what it takes to get cited by AI search engines.
Traditional SEO optimizes for Google's algorithm. AI search requires something different: content AI can extract, understand, and cite. Here's how they differ and what to do about it.
A high-level, step-by-step explanation of how large language models interpret, process, and respond to user queries.
How AI breaks text into tokens and why token boundaries affect meaning and cost.
How embeddings convert language into vectors and why clarity determines retrievability.
How AI assembles context from retrieved documents and why retrievability determines visibility.
How meaning is progressively refined and why early context dominates AI interpretation.
How language models select tokens during generation and why decoding shapes final output.
What happens after text generation: safety filters, formatting, and tool integration.
Most websites contain almost nothing AI can extract or cite. Here's why AI assistants ignore your content and how to fix it.
Get a complete AI visibility analysis with actionable recommendations.
Request Your Analysis