LinkedIn comment and engagement assistant
✨ NewLinkedIn👁 Free previewSimpleOffer: picks 10 posts a day from your target clients and drafts thoughtful comments you approve in one click, so you stay visible without scrolling for an hour
Target customer: consultants, founders and B2B sales teams
Where to find customers: LinkedIn, newsletter sponsorships, partnerships with agencies
Tools needed: LinkedIn feed export + LLM + small database
Recommended price for your customers: €49/month
What it is
LinkedIn comment and engagement assistant is an AI-agent business for consultants, founders and B2B sales teams. Concretely: picks 10 posts a day from your target clients and drafts thoughtful comments you approve in one click, so you stay visible without scrolling for an hour.
Who pays & why
Who pays: consultants, founders and B2B sales teams. Why: the agent does, quickly and around the clock, work they would otherwise do by hand or pay a person for. Recommended price: €49/month. You know it is working when you see: engagement rate, qualified leads per month. Main risk to manage: platform rule changes, AI mistakes reaching customers.
How it works
- Customers find you through: LinkedIn, newsletter sponsorships, partnerships with agencies. They sign up on your website.
- AI does the core work with: LLM API.
- Automatic quality checks run before delivery; anything unusual is sent to you for review.
- The result is delivered through: Social media APIs.
- Every week you check: engagement rate, qualified leads per month.
Concrete example
Example: a customer from the target group (consultants, founders and B2B sales teams) signs up. What they get from the first week: picks 10 posts a day from your target clients and drafts thoughtful comments you approve in one click, so you stay visible without scrolling for an hour. The customer pays €49/month. On your side you spend about 2 h per week on: validates the editorial line and approves sensitive content; reviews a sample of AI outputs and corrects the prompts when quality drifts.
Glossary (4)
- LLM
- Large language model: an AI like ChatGPT, Claude or Grok that reads and writes text.
- API
- A connection that lets two software tools talk to each other automatically.
- B2B
- Business-to-business: selling to companies rather than individuals.
- Lead
- A potential customer who showed interest (e.g. left an email).
📊 Key metrics
How we estimate this
Start-up cost = idea price (€19) + one month of running costs while you build (€223). Monthly profit = low end of the revenue estimate (€800) minus average running costs. We assume 2 months of ramp-up at half revenue and add your setup time. Your own working hours are not counted. It is an estimate, not a promise.
⚙️ Automation difficulty: 2/5 – Easy
Why this automation score
- Score 2: mostly standard tools; a few connections need careful set-up.
- Easy to automate: LLM API and Database.
- Harder to automate (needs set-up and monitoring): Social media APIs.
- Still needs a human: validates the editorial line and approves sensitive content; reviews a sample of AI outputs and corrects the prompts when quality drifts — about 2 h per week.
Automation scale (1–5)
- 1 – Very easy: no-code tools, a few hours to set up.
- 2 – Easy: standard tools, a few days, little monitoring.
- 3 – Moderate: several integrations, 1–3 weeks, regular checks.
- 4 – Hard: complex data or sensitive output, a coding agent or developer recommended.
- 5 – Very hard: advanced engineering, strict quality and compliance control.
💰 Revenue potential: 3/5 – Medium
Market interest 3/5
Constant demand for content; crowded but growing.
Money flow 2/5
Mostly small subscriptions and sponsorships.
Active communities 3/5
Large creator communities on every platform.
⏱ Maintenance time: 2 h/week
What the human does:
- Validates the editorial line and approves sensitive content.
- Reviews a sample of AI outputs and corrects the prompts when quality drifts.
🔌 Integration Requirements (3)
| Integrations | Why it is needed | Cost/month |
|---|---|---|
| LLM API OpenAI / Anthropic / xAI API | The agent's brain: writes, analyses, decides and talks to customers. | 20–300 € |
| Social media APIs TikTok / YouTube / X API | Publishes content and reads engagement on social platforms. | 0–100 € |
| Database PostgreSQL / Supabase | Stores customers, orders, generated content and the agent's memory. | 0–25 € |
| 🧾 Maintenance cost – Total | 20–425 € | |
Included with purchase: 10 detailed prompts
Paste these prompts into your AI agent (ChatGPT, Claude, Grok, Cursor…) one after another. Together they give you a complete strategy, a technical build plan, pricing, an intake system, an autonomous operating loop, a marketing engine, guardrails, metrics, step-by-step MVP build instructions and an orchestrator that runs the business day to day.
- Master Strategy & Positioning
Positioning, value proposition, target segment and business model. - Technical Pipeline Design
The full technical pipeline: tools, data flows and automations to deliver the offer. - Product & Pricing Definition
Minimum product, pricing tiers and what to leave out of version 1. - Customer Intake System
Automated acquisition and client intake: forms, qualification and onboarding. - Autonomous Operating Loop
The agent's daily operating loop: triggers, production, quality checks, escalation to a human. - Go-to-Market & Content Engine
Go-to-market engine: 30-day launch plan, content, channels and outreach scripts. - Quality & Compliance Guardrails
Guardrails: GDPR, AI Act, consumer law, quality and risk controls. - Metrics, Learning & Iteration
Dashboard: North Star metric, KPIs, alerts and weekly review. - MVP Build Sequence
A 14-day day-by-day MVP build sequence with tools and checkpoints. - Master Orchestrator (Run the Business)
The master orchestrator prompt that coordinates every sub-agent and runs the business.
Launch price €39 €19
Exclusive: hidden from everyone else after purchase · 10 prompts unlocked · one-time payment
Once purchased, the idea disappears for all other users.