How We Built a Content Optimization Tool for AI Search [Case Study]
Semrush has published a new case study, ‘How We Built a Content Optimization Tool for AI Search’.
Luke Harsel says, “AI search platforms like ChatGPT, Google AI Mode, and Perplexity are changing how content gets discovered. But what makes one piece of content get cited while another gets ignored?
To answer this, we analyzed thousands of citations and compared them to similar pages ranking in Google. Our goal was to identify which text-only qualities most strongly correlate with AI citation behavior, and whether these patterns differ from traditional SEO signals.
Key takeaways:
Based on our research, we found five content qualities that showed a strong positive correlation with AI citations, plus one that showed a negative correlation:
Structured data elements: +21.60%
Clarity and summarization: +32.83%
EEAT signals: +30.64%
Q&A format: +25.45%
Section structure: +22.91%”.
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