How structured data helps your brand get cited in AI results
Briefly

How structured data helps your brand get cited in AI results
"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."
"LLM citations combine the reach of organic rankings, the prominence of featured snippets, and the credibility of expert sources, all within the AI tools where people research, shop, and make decisions. Visibility appears directly inside the user's interaction with AI, often before they click a search result."
"Large language models don't just 'read' your site - they interpret it, and structured data helps them do that accurately. 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."
AI-powered search platforms like ChatGPT, Gemini, and Perplexity now cite content directly within generated answers rather than displaying traditional ranked results. LLM citations represent a shift in search discovery where brands gain visibility by appearing within conversational context. Structured data and schema markup enable AI models to accurately interpret and understand content, signaling entity information and provenance that determines citation eligibility. Citations provide multiple benefits including direct visibility in user interactions, authority signals to both users and algorithms, qualified referral traffic when users explore sources, and enhanced brand trust through association with authoritative AI outputs. This approach combines the reach of organic rankings with the prominence of featured snippets and expert credibility.
Read at Miami Herald
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