Need Advice for free🤗: How to Architect an AI Marketing Agent for Competitor Research?

hey guys i am making an ai marketing agent which should like analyse the opponents and then write complete marketing plans in hours .so now it does write the marketing but like its simple and i think its not only how it analyses the researched info and writing the plan i think the main issue is in doing the research cuase its really simple one like it uses their website url and then it scrapes the data like this are those firecrawl agents ( Price agent , segment scanner agent , social media link scanner agent , website chat scanner agent , google maps reviews scanner agent ) and there are keywords and it uses is to search for info therefore the keywords are not like top. now i am thinking of replacing them with ai agent nodes and check on google like what is the base info to do research for when you do research abt your opponent for making marketing strategies. that will also be heavy cost of api but i need help to this questions: 1.What is better: if there is x,y,z, info that i have to do research for for each opponent is it better to use 1 ai agent node for this or to make 1 ai agent node for each of x,y,z cause also i think when the time goe by i will def improve it and make it to xyzcv and etc for that kind of research is it better to use open ai node or the ai agent node and also from open ai which model is better for this kind of task and seperately which model is the best for this kind of solution. 3.also there will e like at least info of 20 opponents do i need to use seperately agent to analyse that info and agents for every part of the marketing strategy like 1 for core pillars 1 for budget etc is there any advise you can give me if there is anyone who can help me for free i would appriciate it

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