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Saved February 14, 2026
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The article explores how Google might utilize structured data to enhance its AI search capabilities, particularly through Gemini. It discusses findings related to hidden content, schema usage, and offers a hypothesis on how Google retrieves information from various sources.
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The article explores the role of structured data in Google's Gemini AI and its implications for SEO. A key observation from Lukasz Rogala raised questions about the certainty of previous claims regarding how Google uses structured data. It suggests that Google might ground its AI search results using schema data, which could benefit those in the AI SEO sector and support schema advocates. The author tested this by analyzing chunks from various sources related to AI in SEO, ultimately finding a sentence about how AI enhances SEO in both a grounding context and in Google's search results.
The examination revealed that the sentence appeared in the structured data (LD+JSON) of a page but did not match the visible text. This led to speculation about whether Google utilizes content from hidden sections of a page or relies solely on the structured data. The article proposes a hypothesis that Gemini could read from both sources, but the exact mechanism remains unclear. The author suggests conducting tests where the structured data and visible content differ to determine which source Google pulls from. This insight could significantly impact how SEO professionals approach content optimization and schema implementation.
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