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Reverse-Engineering ChatGPT's Source Selection: A Network Traffic Analysis

By

Suganthan Mohanadasan

4h ago· 19 min readenInsight

Summary

A technical investigation into how ChatGPT selects and cites sources, based on analyzing the raw network traffic (JSON) between ChatGPT and the browser. The author, Suganthan, reverse-engineers hidden fields in ChatGPT's response data to understand which sources get fetched, cited, or ignored — moving beyond conventional SEO/GEO advice that relies on faith and repetition. The piece provides a data-driven walkthrough of the actual mechanics behind ChatGPT's source selection process.

Source

bskyReverse-Engineering ChatGPT's Source Selection: A Network Traffic Analysissearchenginejournal.com

Key quotes

· 4 pulled
"How do we show up in ChatGPT?" The answer is always the same. Write good content, do listicles, comment on Reddit. The usual.
Most of it gets repeated on faith, one expert quoting the last.
Instead of taking it on trust, I spent a few days reading what ChatGPT sends my browser underneath the reply. The raw network traffic, in readable JSON.
Before you quote a number from this, read this. It's one person, on
Snippet from the RSS feed
This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ignored.

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