How ChatGPT Picks Sources (I Read the Network Traffic, Not the Outputs)

6 hours ago

ChatGPT uses different data pipelines: serp for open web, labrador for licensed publishers, bright for Bright Data scraper, oxylabs for Oxylabs scraper.
Some queries (like 'text' type) skip web searches and use training data, affecting SEO opportunities.
The 'fan-out' queries reveal ChatGPT runs multiple sub-queries, including site-specific probes, for complex tasks.
There is a difference between fetched, cited, and mentioned sources; citations require plain text and favor platforms like Reddit over YouTube.
Ranking logic is server-side and not visible; personalization can influence answers based on user history.
Local results are limited to two, and shopping queries show variability in sourcing behavior.
To optimize for ChatGPT, ensure content is scrapable in plain HTML, avoid JavaScript for key data, and focus on third-party coverage and strong pages per claim.

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