* Revenue figures are market-based estimates only and are not guarantees of income. Actual results will vary based on execution, market conditions, and individual effort. This is not financial or investment advice.
How the agent runs it
Consultant defines ICP. Agent researches each prospect via web, drafts hyper-personalized connection notes, and queues follow-ups at natural intervals. Human approves before sending.
Who this is for
This is ideal for independent consultants, fractional service providers, or small agency owners (1–10 people) who already sell B2B services but struggle with consistent outbound prospecting. You should have basic comfort with software tools and understand your ICP well enough to brief an AI agent; no coding required. If you're tired of manual LinkedIn outreach or hiring VAs to do repetitive prospecting, this business lets you own and white-label a solution that solves your own problem.
Market opportunity
The B2B SaaS market for sales automation is worth $8B+ globally, with LinkedIn automation being a $500M+ subsegment growing 25% annually. Consultants and agencies are increasingly shifting from cold email to LinkedIn because LinkedIn allows deeper personalization and relationship-building at scale. AI-powered personalization—using LLMs to draft hyper-relevant messages rather than templates—is a 2024–2025 trend with strong demand as consultants realize generic outreach converts poorly.
Tech stack
Monetization
$149/mo solo, $399/mo agency (5 seats).
Key risks
- → LinkedIn ToS risk
- → Personalization quality must be high or backfires
Getting started
- 1 Interview 5–10 consultants about outreach painTalk to independent consultants or agency owners in your network about their current prospecting workflow, bottlenecks, and budget for solutions. This validates demand and clarifies which ICP segments (e.g., executive coaches, IT consultants, marketing agencies) are most underserved and willing to pay.
- 2 Set up Claude API and web search integrationCreate a Claude API account and test the web search capability to verify you can reliably fetch prospect data (LinkedIn profiles, company websites, recent news). This is your core research engine and must work accurately before building the UI.
- 3 Build minimum viable dashboard with ReactCreate a basic React frontend (Supabase for auth and database) that lets users input their ICP criteria, see a list of prospects, view AI-drafted messages, and approve/reject before sending. Keep it simple—focus on core workflow, not design, to launch in 1–2 weeks.
- 4 Integrate PhantomBuster for LinkedIn sendingConnect PhantomBuster's API to actually send approved connection requests and follow-ups on LinkedIn at intervals you define (e.g., 3 days after connection, then weekly). This removes manual clicking and ensures consistency while keeping humans in the approval loop for compliance.
- 5 Launch with 5–10 beta users and iterateRelease to 5–10 consultants who match your ICP, charge them $99–149/mo, and gather feedback on message quality, research accuracy, and ease of use. Use their insights to refine the AI prompts, improve prospect filtering, and justify pricing before broader go-to-market.
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