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Challenge: Manual Listing and Ineffective, Uniform Direct Mail

In B2B sales activities, the biggest hurdles are "creating high-quality attack lists" and "approaches with high response rates (appointment acquisition rates)."

Traditionally, this involved the extremely tedious and cumbersome process of searching for each company's website online, copying and pasting standard templates into their inquiry forms, and sending them. Furthermore, standardized templates often resulted in emails being dismissed as generic sales emails and discarded without being read.

Solution: Fusion of OSINT Research and AI-Powered Optimization

I have developed a highly automated customer acquisition system (Sellee Sales & Web Acquisition Project) that fundamentally overturns this sales process.

1. 【Target Company Scraping Engine】: Using a Python script, it quickly and accurately scrapes lists of companies and contact information that match specific criteria (e.g., junk removal, estate cleanout) from the web.

2. 【AI DM Generation】: The extracted information from the target company's website is fed into an AI (Gemini, etc.) to automatically generate completely personalized sales copy (DM text) such as, "I was impressed by your company's strength in XX. By using our service, you can further leverage that strength in this way."

3. 【Automated Form Sender】: A program is built to automatically send the generated personalized DM to each company's inquiry form.

Result: Business Opportunities Acquired Through the "Ultimate Love Letter" That Isn't Treated as Spam

This "AI-powered personalized DM" was perceived by recipients as having "thoroughly read their website before making a proposal," resulting in an astonishingly high response rate and business opportunity acquisition rate, rather than being treated as spam.

This has enabled a new era of web marketing, moving away from sales that simply "shoot a lot" to "automatically mass-producing proposals that resonate with people."