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AI-Powered Full-Process Bidding Document Ghostwriting: Presentation PPT + Disqualification Pre-audit, Monthly Income of 20,000 RMB

Workflow: The input involves scraping announcements from provincial government procurement networks and bidding platforms every mo

AGENT

Key Fields

FIELD STAMPS

IndustryAI / LLM

RegionChina（中国·全国）

ScaleSME

ChannelOnline

🔧 Workflow

The input involves scraping announcements from provincial government procurement networks and bidding platforms every morning, filtering bids based on qualifications. Processing involves feeding bidding documents to a large language model to parse scoring sheets and generate initial drafts, followed by using a simulated expert review Agent to conduct a pre-audit for disqualification based on a 21-item compliance checklist. The output consists of response documents, qualification attachment comparison tables, and initial presentation PPT drafts; human reviewers verify performance records before signing and uploading. Pricing is 1,500-5,000 RMB per bid (case metrics pending independent verification as of 2026), backed by a joint policy directive from eight ministries promoting the adoption of AI in bidding.

🛠 Setup Requirements

No programming skills are required, but you must know how to use Claude or DeepSeek to understand long documents and be proficient in WPS or Lark (Feishu); start by downloading open-source skill packages such as BidMaster-Pro or BiaoShu-SKILL from GitHub as a baseline; spending about a week to organize the order-taking workflow and run a test sample is enough to start quoting external clients.

🧰 Toolchain

🔧 BidMaster-Pro (GitHub Open-Source Bidding Document Generation Project)
🔧 BiaoShu-SKILL (Claude Bidding Document Writing Skill Package)
🔧 Magpie Bid AI (Full-Process Bidding Document Compilation Tool)
🔧 WPS AI (Formatting and Qualification Attachment Organization)

💰 Revenue

① Pay-per-bid by government and enterprise bidders (Main revenue): 1,500-5,000 RMB per bid × 5-8 bids accepted per month = 7,500 to 40,000 RMB, with monthly gross billings around 20,000 RMB, and approximately 100% of monthly income coming from this stream (estimated, case metrics not independently verified, timeframe is 2026); ② Value-added services (presentation PPT graphics, simulated defense rehearsals): additional charges per session for existing clients, though unit prices and monthly transaction counts are not statistically tracked, and the share of this stream in total revenue is not specified; ③ Per-copy pricing supported by delivery efficiency: similar tools shorten technical bid preparation time from 3-5 days to a few hours, covering 8 major industries (efficiency data self-disclosed by the company), supporting per-bid pricing and gross margins, though the proportion of revenue contributed by this part is not publicly disclosed; ④ Opportunity item—bidding document ghostwriting subscription packages for low-frequency bidding enterprises: referencing the low-threshold trial pricing of 99 RMB bidding experience cards on similar platforms (public platform pricing), there is no public data on whether this can scale or how much revenue it will generate.

💸 Cost

Main costs consist of Claude and DeepSeek API subscriptions of about 200 RMB/month, plus bidding tool memberships of about 300 RMB/month, bringing total tool costs to under 1,000 RMB/month.

⏱ Time Investment

Investing 4-6 hours per day, with reading bidding documents and parsing scoring sheets taking up half the time, and generation and checking taking the other half.

🚀 Getting Started

Step 1: Register on provincial government procurement websites, download three real bidding documents, and run through the response framework using open-source bidding skills. Step 2: Find small and medium-sized engineering or service companies in your network with bidding needs, provide a free sample in exchange for an initial case study, and then start closing deals at a base price of 1,500 RMB.

🔑 Keys to Success

✅ Accumulate a template library for industry-specific qualifications and past performance to speed up operations over time
✅ Use simulated review Agents to block disqualification risks before submission
✅ Turn presentation PPTs into a differentiated selling point to avoid the red ocean of pure text formatting
✅ Deeply cultivate 1-2 vertical industries (such as weak current systems or property management), accumulating industry-exclusive response templates, which increases order-taking efficiency by over 30% compared to cross-industry operations

⚠️ 风险

⚠️ Inconsistent file formats and electronic signature requirements across regional electronic bidding platforms may lead to upload failures and direct disqualification
⚠️ Core materials such as qualifications and past performance in bidding documents must be genuinely provided by the client; if a client provides false materials leading to disqualification or legal disputes, liability boundaries must be clearly defined in the contract in advance
⚠️ Scoring rules in bidding documents may contain implicit preferences; if AI-generated routine responses fail to precisely match scoring weights, it is easy to lose points in technical scoring
⚠️ Some government and enterprise clients have limited acceptance of AI-generated bidding documents, worrying that content homogenization may lead to point deductions, requiring prior communication and confirmation

📌 Real Cases

📌 Public operational data from Magpie Bid AI in 2024 shows that individual edition creators completed an average of 12-15 bidding documents per month, and top individual ghostwriting service providers achieved monthly billings of over 30,000 RMB
📌 Practitioner case studies researched by Sanwenge show that after using AI tools, an individual ghostwriting blogger increased bidding document production efficiency by 300%, with monthly order volume rising from 3 to 8, and monthly income increasing from 5,000 RMB to 22,000 RMB
📌 Yingbiao AI officially disclosed that its enterprise clients and individual service providers have cumulatively assisted in completing over 100,000 bidding documents, and the average winning rate for individual ghostwriting service providers increased by 18% after using AI

Sources