"LLM citations occur when AI tools like ChatGPT, Gemini, Perplexity, or Microsoft Copilot reference, summarize, or link to your content within generated answers. Instead of showing up in a ranked list of results, your brand becomes part of the answer itself, surfaced in conversational context."
"When you add schema markup to your content, you give AI models like ChatGPT, Gemini, and Perplexity a structured context for what your page contains - who it's about, what entities it describes, and how different details relate. Structured data links human-friendly content and machine-readable meaning, helping search systems and AI extract and verify facts, relationships, and attributes."
Search discovery has evolved beyond traditional ranked results to include AI-generated answers where content is cited within conversational contexts. LLM citations represent a convergence of organic reach, featured snippet prominence, and expert credibility within AI tools where users research and make decisions. Structured data plays a critical role by providing machine-readable context that helps large language models accurately interpret content, understand entities and relationships, and verify facts. Schema markup enables AI systems to extract meaningful information about what pages contain, who they describe, and how details relate, facilitating inclusion in Google AI Overviews, product descriptions, event summaries, and other grounded AI results.
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