Overview
ProspectHalo is an AI-powered sales agent designed for B2B founders, agencies, and sales teams. It connects to a user's own LinkedIn and email accounts, learns the business from its website, and then autonomously discovers, scores, and contacts prospects. The platform also generates LinkedIn content in the user's voice to attract inbound leads, closing the loop between outbound and inbound sales development. Pricing starts at $59 per month for the Pro plan, with a 7-day free trial, and scales to $100 per month for Growth and custom quotes for high-volume teams.
Key Features
- AI Prospecting and Lead Scoring: ProspectHalo searches LinkedIn (including Sales Navigator when connected) to find prospects matching an ideal customer profile. Each lead is scored against 18 buying signals, such as hiring sales staff, engaging with competitors, or recent role changes, helping users prioritize those most likely to buy.
- Multichannel Outreach Sequences: The agent builds and sends personalized LinkedIn messages and emails from the user's real accounts, following a sequence defined by the user. Messages reference recent prospect activity, and sending is paced to mimic human behavior, with daily caps and warm-up features to protect account health.
- Autopilot Reply Handling: When prospects reply, the system categorizes intent (interested, question, not now) and automatically drafts appropriate responses. It can share a booking link when a prospect is ready, or forward hot leads to the user if human intervention is needed.
- AI Content Creation and Inbound Scoring: The content module learns the user's writing style from past posts and creates LinkedIn content on a set cadence. Engagements from ICP matches are converted into leads, which then enter the outbound flow with context about the post they interacted with.
- Unified Inbox and Alerts: All replies land in one dashboard sorted by buying readiness, eliminating the need to check multiple inboxes. Users get email notifications within the hour if a high-intent prospect requires immediate attention.
- MCP Integration: An MCP server allows external AI agents like Claude, ChatGPT, or Cursor to query leads, launch agents, schedule posts, and review performance via natural language, enabling custom workflows.
Use Cases
For a solo founder, ProspectHalo acts as a virtual SDR. It continuously discovers and contacts potential customers, allowing the founder to stay focused on product development. The unified inbox provides a single place to step in and close deals.
Agencies can deploy ProspectHalo both for their own lead generation and as a white-label service for clients. The case study of Yellow Horns shows a $3,000 client closed in nine days using the $59 plan, illustrating the potential return on investment.
Sales teams use the platform to maintain a predictable outbound pipeline. By monitoring buying signals, the agent reaches out at the right moment, which can lead to higher conversion rates. The MCP integration also offers revenue operations teams a way to integrate AI capabilities into existing CRM or automation tools.
Differentiators
Most sales engagement platforms require users to upload lists or rely on third-party databases. ProspectHalo stands out by sourcing prospects directly from the user's own LinkedIn network and scoring them with activity-based signals. It combines outbound messaging with inbound content marketing, a feature rarely found in a single product. Additionally, the MCP integration gives other AI agents native control, making it a forward-looking choice for teams already using agentic workflows. Its pricing undercuts traditional SDR costs, making it accessible to smaller businesses while still offering scale for larger teams.
