
The results debunk the notion that AI‑specific page designs boost visibility, reinforcing that classic SEO fundamentals—structured, authoritative content—remain the key to AI Mode exposure.
SALT.agency examined over 2,300 URLs that Google’s AI Mode cited in response to high‑value queries across travel, e‑commerce and SaaS. Researchers measured the vertical pixel position of the first highlighted character using a 1920 × 1080 viewport, then compared depth across different page layouts. The data showed no statistical link between how high text appears on a page and its likelihood of being quoted. Whether a paragraph sat a few hundred pixels from the top or several thousand pixels down, AI Mode treated it equally. This comprehensive approach mirrors real‑world browsing conditions, strengthening the study’s relevance.
The study also revealed that page templates affect where citations appear, but not whether they appear. Large hero images or narrative designs push quoted fragments deeper, while simple blog or FAQ layouts surface them nearer the top. More importantly, AI Mode consistently highlighted a descriptive subheading and the sentence that followed, confirming that heading hierarchy remains a primary navigation signal. SEO practitioners should therefore prioritize clear, logical headings and concise opening sentences rather than chasing “above‑the‑fold” placements. Implementing schema markup for sections can further help the model locate pertinent fragments.
For marketers, the findings debunk the myth that AI‑specific page structures can boost visibility. Google’s AI Mode appears to rely on the same fragment‑indexing technology that powers traditional search, pulling the most relevant section regardless of its screen position. Consequently, the best path to AI‑mode exposure is the same as classic SEO: produce authoritative, well‑structured content that directly answers user intent. As AI integration deepens, aligning content strategy with proven search principles will remain a competitive advantage. Brands that ignore these insights risk investing in costly redesigns with no measurable AI benefit.
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