- 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.