By skyforbes 
I've been trying to reverse-engineer Gemini's algorithms lately, specifically looking at how it picks and recommends certain entities in its answers. (For context: I'm trying to get a clearer picture of the decision-making logic behind those brand suggestions.)
Right now, I'm using third-party APIs (like SE Ranking, DataForSEO, etc.) to grab location, and keyword data. Then I filter all that data on a separate server to generate my reports. But I want to go deeper. I'm trying to broaden my search and really analyze the response patterns to see what factors influence a personalized answer in the Gemini network.
If anyone has tackled a similar challenge or has any insider tips/services that could help me with this kind of deep-dive analysis, I would seriously appreciate a pointer!
Thanks in advance!