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Embeddings

Numerical representations of text that capture semantic meaning, enabling AI systems to understand relationships between concepts.

Understanding Embeddings

Embeddings convert words, sentences, or documents into vectors (lists of numbers) that represent their meaning. Similar concepts have similar embeddings. AI systems use embeddings to find relevant content, understand context, and match queries with appropriate sources. For AI visibility, content with clear, coherent meaning translates to better embeddings, improving your chances of being retrieved for relevant queries.

Related Resources

Related Terms

RAG (Retrieval-Augmented Generation)Vector Search

Helpful Checklists

AI SEO Audit ChecklistChatGPT Optimization ChecklistStructured Data Implementation ChecklistProgrammatic SEO Launch Checklist

Templates

Robots.txt for AI Crawlersllms.txt File TemplateOrganization Schema (JSON-LD)Article Schema (JSON-LD)

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