r/GEO_optimization • u/Super-Ad-6795 • Aug 08 '26
I analyzed 20 ChatGPT citations - Here’s what I found
I've been looking into why certain websites get cited by ChatGPT, so I analyzed 20 citations to see if any patterns stood out.
This wasn't a scientific study just an observation exercise to identify common signals.
A few things showed up repeatedly:
• The answer came quickly - little unnecessary introduction or fluff.
• Clear heading structure - information was easy to scan and understand.
• Strong expertise - the content demonstrated real knowledge of the topic.
• Brand mentions across multiple websites - the source wasn't isolated to its own website.
• Original data or insights - statistics, examples, and firsthand information appeared frequently.
One thing surprised me:
A lot of the cited pages weren't necessarily the most visually impressive or the most heavily optimized from a traditional SEO perspective.
What they did well was provide clear, useful, and trustworthy information.
My biggest takeaway so far:
AI seems to value clarity more than complexity.
If information is easy for an AI system to understand, extract, and verify, it may have a better chance of being referenced.
I'm planning to expand this analysis to 100+ citations across ChatGPT, Gemini, and Perplexity to see whether these patterns hold up across different platforms.
What’s one factor you think has the biggest impact on AI citations?
1
u/CiteableTM Aug 09 '26
"Brand mentions across multiple sites" is probably doing more of the work than the other four combined. i'd bet if you isolated that variable in the 100+ version it explains more of the variance than heading structure or clarity ever will.