What schema markup does AI search actually use?
AI search uses Organization schema to establish canonical brand facts, making this markup mandatory for entity recognition. The JSON-LD format provides LLMs with structured…
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AI search uses Organization schema to establish canonical brand facts, making this markup mandatory for entity recognition. The JSON-LD format provides LLMs with structured…
Fake reviews create easily detectable patterns that LLMs flag during source evaluation. Synthetic reviews show timing patterns, vocabulary repetition, sentiment…
Include your brand in “best of” lists only if you publish explicit ranking criteria, update frequently, and prepare to sunset…
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Third-party mentions improve AI rankings because LLMs triangulate information across multiple sources to build entity confidence. When credible external sites…
Anonymous authors reduce AI citation rates because LLMs downweight content without clear expertise signals. When content lacks author attribution or…
Entity truth documentation is a single authoritative source containing canonical facts about your entities (organization, people, services) used verbatim across…
Create dedicated entity pages by building distinct URLs that answer “who, what, where, why trust” questions about your brand, people,…
Long narrative introductions hurt AI visibility because they push answers outside the extraction window LLMs use during content evaluation. When…
Explain the same concept in three ways: simple explanation for non-experts, technical explanation for practitioners, and practical example showing real…
Cover one primary question per page to avoid vector dilution. When an LLM processes your page, it converts content into…