u/elPimps

I was trying to inspect what LLMs actually search before answering, not just the final output.

So I built a browser bookmarklet that opens a separate terminal-style view and shows:

• grounding/fan-out queries
• domain-scoped vs open-web searches
• cited domains that survive into the final answer
• source concentration across retrieved results

It currently works with:

• ChatGPT live conversations
• Claude live conversations, with JSON import fallback when live access is not available

The main reason I built it was for SEO/GEO/retrieval debugging. In a lot of cases, the interesting part is not the answer itself but:

• what queries the model fanned out into
• whether it used explicit site constraints
• which domains kept surfacing
• which sources actually made it into the response

I’m posting this mainly to get feedback on the approach:

• would you inspect anything else in the retrieval chain?
• what would you want to export?
• would Gemini/AI Mode support be useful?

If people are interested, I can share the repo in the comments (but i don't even know if i can post link here...)