ProspectHalo

ProspectHalo

ProspectHalo is an AI sales agent that automates LinkedIn prospecting, multichannel outreach, follow-ups, and content creation to win B2B customers without SDR.

Screenshot of ProspectHalo
Overview

ProspectHalo is an AI sales agent that automates LinkedIn and email outreach, positioning itself as an end-to-end alternative to hiring a human sales development representative. It combines prospect discovery, intent scoring, personalized messaging, follow-up sequences, and LinkedIn content publishing into one workflow, then routes all replies into a centralized inbox.

Key Features
  • Automated prospecting from a user's own network: ProspectHalo connects to LinkedIn or Sales Navigator and pulls matching profiles from the user's existing connections. It compares each person against the business's ideal customer profile and assigns a fit score; users can mark leads as good or bad to refine future searches.
  • 18-signal buying intent tracking: The platform monitors 18 types of buying signals, including recent job changes, hiring activity, and interactions with competitors. Each lead receives an intent score from 0 to 100, and the system shows why a given lead might be ready to buy now, such as a post about scaling an SDR team.
  • Multichannel outreach with human pacing: Personalized first messages and follow-ups are generated for each prospect. The agent sends them via the user's own LinkedIn and connected email accounts, including Gmail, Outlook, and Google Workspace. Users can set daily limits, control how many messages are sent, and decide whether to approve all messages before they go out.
  • LinkedIn content generation in the user's voice: To create posts, ProspectHalo analyzes a sample post written by the user. It then drafts new posts with images on a schedule that the user controls, while targeting the same buyer personas. Engagement from those posts is automatically converted into scored leads.
  • Unified inbox and autopilot reply handling: Incoming replies from outreach and content are combined in one interface that sorts conversations by readiness. Autopilot can answer simple questions, propose next steps, and share a calendar booking link. It escalates to a human when a hot lead is waiting or when a dialogue appears to stall.
  • MCP and API integration: ProspectHalo is accessible through the Model Context Protocol, allowing customers to query leads, launch campaigns, and manage scheduling from AI assistants such as Claude, ChatGPT, Cursor, Gemini, and Perplexity. API access and CSV export are included on the paid plans.
How It Works

The process starts when the user submits a website URL. ProspectHalo reads the site and generates a description of what the business sells, who it targets, and what positioning angle to use. From that profile, the agent continuously searches LinkedIn for prospective buyers, scores them by intent, and sends a connection request or message. If the user enables content publishing, the agent also writes and schedules posts that appeal to the same audience. Every reply flows back to a shared inbox, where the autopilot can follow up and schedule meetings until a lead indicates disinterest or the conversation is moved to a human representative.

Who It's For

ProspectHalo is aimed at individuals and small sales teams that want continuous outbound and inbound lead generation without hiring an SDR. Founders, agencies, consultants, and product-led businesses are the primary audience. Because the system relies heavily on LinkedIn activity, organizations with buyers who are not reachable on LinkedIn or that require full control over outbound compliance may need to evaluate whether the tool fits their risk tolerance.

Pros & Cons

The Good

  • Combines outbound and inbound sales automation in a single tool, removing the need to stitch together separate prospecting, sequence, and content tools.
  • Trains on a sample of user-generated LinkedIn posts, so the AI can produce content that matches an individual's voice more closely than generic templates.
  • Sends messages directly from a user's own LinkedIn and email accounts with configurable limits, which supports domain and account safety.
  • Offers a unified, prioritizable inbox and autopilot that can handle follow-ups and meeting booking, reducing the manual workload between first touch and closed deal.
  • Provides MCP-based connection to external AI agents such as Claude and ChatGPT, plus API and CSV export, for users who prefer managing pipelines using other assistants.

The Bad

  • Users must grant the platform access to their personal LinkedIn account, which may raise concerns about account bans or privacy even with warmup and caps.
  • The service is not open source and pricing is only transparent for the first two paid tiers; custom plans require a sales conversation and provide no trial.
  • Lead discovery primarily leverages LinkedIn's data, so firms whose buyers are not active on LinkedIn may see limited prospecting results.

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