Competitor Information Analysis

rivera3003

rivera3003

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After careful consideration, I've decided to pursue a new idea.
I have limited experience, so I have faced challenges generating revenue.
Given my skills and background, I believe this approach might be worth exploring:

<Competitor Information Analysis>

I am trying to analyze competitors' products using reverse engineering methods that stay within legal boundaries.
I also hope to use my software development skills to analyze different competitor information using an LLM AI platform.
I'd really appreciate your honest opinion on whether you think this idea is practical and has the potential to be profitable.
Since I already understand the technical details, I'm open to practical advice or opportunities to test this out in real situations.
I must admit, I feel a little shy about asking for help, but I genuinely value your broad perspectives and insights.
Thanks.
 
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People pay a lot of money for competitive analysis, I think adding the twist after a digital marketing standpoints competitive analysis would do you well as mentioned

Hint hint, Screaming Frog
 
Reverse engineering and llms for intel sounds super practical for spotting gaps or smart moves. The actual profit will come from how you leverage those insights to build something better or unique, not just the analysis itself
 
rivera3003 said:
After careful consideration, I've decided to pursue a new idea.
I have limited experience, so I have faced challenges generating revenue.
Given my skills and background, I believe this approach might be worth exploring:

<Competitor Information Analysis>

I am trying to analyze competitors' products using reverse engineering methods that stay within legal boundaries.
I also hope to use my software development skills to analyze different competitor information using an LLM AI platform.
I'd really appreciate your honest opinion on whether you think this idea is practical and has the potential to be profitable.
Since I already understand the technical details, I'm open to practical advice or opportunities to test this out in real situations.
I must admit, I feel a little shy about asking for help, but I genuinely value your broad perspectives and insights.
Thanks.
Click to expand...
Interesting idea, especially combining AI with competitor analysis. As a beginner, I am also trying to understand this space better. How would you suggest starting with competitor analysis step by step? Like what should we focus on first, content, keywords, or backlinks? Also, are there any simple tools or methods you recommend for beginners to practice this without getting overwhelmed?
 
That's a very interesting idea. How would it work in practice? One option would be to create a service with a paid subscription for your functionality. I think there would be a lot of demand.
 
Playwright with a rotating residential proxy pool is the practical stack for this — scrape competitor pricing pages, product listings, ad copy, and review patterns. LLM post-processing for extracting structure from messy HTML works well and cuts down manual parsing significantly. Main blocker is Cloudflare on heavily protected sites — FlareSolverr handles it for low volume, but for anything at scale look at Bright Data's Web Unlocker or Scrapingbee, they absorb the CF overhead natively.
 
Hey, that competitor deep-dive using reverse engineering and llm sounds pretty clever and definitely practical for getting unique intel. For profit, you'll need to figure out exactly what specific, actionable insights businesses would pay top dollar for that they can't already get easily
 
It’s a solid direction and you’re thinking about it the right way.

The competitor intelligence space is growing fast right now. More companies are fighting for visibility, pricing position, ads, content ranking, all of it. That creates a constant demand for fresh data, not just reports.

Where people usually get stuck is trying to build something too broad. The real opportunity is in small gaps. For example tracking pricing changes in a niche, monitoring ad creatives in a specific geo, or detecting ranking shifts for a certain type of product. Those focused use cases are easier to sell.

From a practical side, your stack makes sense. To get reliable real time data you’ll need residential proxies, especially if you’re pulling from platforms that are sensitive. After that, the real value is not the data itself but what you do with it. That’s where your AI layer comes in. Analyze patterns, summarize changes, and turn raw data into something actionable your client can actually use.

If you keep it narrow and solve one clear problem well, it’s definitely something you can validate and monetize.
 
Aang Aang said:
Interesting idea, especially combining AI with competitor analysis. As a beginner, I am also trying to understand this space better. How would you suggest starting with competitor analysis step by step? Like what should we focus on first, content, keywords, or backlinks? Also, are there any simple tools or methods you recommend for beginners to practice this without getting overwhelmed?
Click to expand...
Thanks for your reply.
Although I have decided to move forward, I am facing various challenges in putting it into practice.
The technical aspects are going well, but I struggle in other areas due to limited knowledge.
Since you mentioned that you are also a beginner, I was wondering if you'd be interested in sharing our skills and experiences.
I would appreciate your response.
 
sjdyq said:
It’s a solid direction and you’re thinking about it the right way.

The competitor intelligence space is growing fast right now. More companies are fighting for visibility, pricing position, ads, content ranking, all of it. That creates a constant demand for fresh data, not just reports.

Where people usually get stuck is trying to build something too broad. The real opportunity is in small gaps. For example tracking pricing changes in a niche, monitoring ad creatives in a specific geo, or detecting ranking shifts for a certain type of product. Those focused use cases are easier to sell.

From a practical side, your stack makes sense. To get reliable real time data you’ll need residential proxies, especially if you’re pulling from platforms that are sensitive. After that, the real value is not the data itself but what you do with it. That’s where your AI layer comes in. Analyze patterns, summarize changes, and turn raw data into something actionable your client can actually use.

If you keep it narrow and solve one clear problem well, it’s definitely something you can validate and monetize.
Click to expand...
Thank you so much for your detailed and helpful response!
It’s clear you have extensive knowledge of SEO.
As someone new to this field, I’m feeling a bit overwhelmed and uncertain about where to begin. It would mean a lot if you could share some guidance on which areas are most practical to focus on and are likely to engage users.
I’d be truly grateful to learn from you as an SEO mentor.
Also, if you could share more information about residential proxies, I’d really appreciate it.
Thanks again!
 
Reverse engineering competitors with AI is honestly a genius move if you have the coding chops to pull it off. Just make sure you pick a niche that actually has money in it, otherwise you are just doing a lot of hard work for nothing
 
Dark7Angel3 said:
Reverse engineering competitors with AI is honestly a genius move if you have the coding chops to pull it off. Just make sure you pick a niche that actually has money in it, otherwise you are just doing a lot of hard work for nothing
Click to expand...
Do you know a niche that actually has money in it?
If you know, let me know.
Thanks for your reply.
 
rivera3003 said:
Thank you so much for your detailed and helpful response!
It’s clear you have extensive knowledge of SEO.
As someone new to this field, I’m feeling a bit overwhelmed and uncertain about where to begin. It would mean a lot if you could share some guidance on which areas are most practical to focus on and are likely to engage users.
I’d be truly grateful to learn from you as an SEO mentor.
Also, if you could share more information about residential proxies, I’d really appreciate it.
Thanks again!
Click to expand...
Hi, again! Identifying the right market gap and the execution part is tricky. The only advice I would give for you is to make your own research and identify a gap where businesses is you local area are suffering from.
About residential proxies, they're the top used product for web scraping since they come from real devices, meaning they're hard to detect. Have you previously worked with proxies? What questions do you have in mind?
 
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