AI Sales Intelligence That Turns Raw Data Into Actionable Prospect Insights

How ProspectAI Solves This

Contact data tells you who to reach. Sales intelligence tells you why they'll care and when to reach out. ProspectAI's intelligence layer analyzes every prospect and company in your pipeline to surface the context that makes outreach relevant and timely. For each prospect, the AI generates a research brief that goes far beyond basic firmographic data. The brief covers the company's recent developments — new funding rounds, product launches, leadership changes, office expansions, and partnerships. It maps the technology stack, identifying tools that complement or compete with your solution. It analyzes the competitive landscape, showing which alternatives the prospect might be evaluating. And it identifies specific pain points based on the prospect's industry, company stage, and role. This intelligence feeds directly into outreach personalization. When Agent Frank writes an email, it references real context from the research brief — congratulating a prospect on a recent funding round, mentioning a technology they recently adopted, or referencing a competitor they're currently using. This is the difference between generic outreach and messages that demonstrate genuine understanding. ProspectAI's inbound tracking adds another intelligence layer by identifying anonymous website visitors and matching them to company accounts. When a target account visits your pricing page, the AI can automatically trigger a personalized outreach sequence to the right decision-maker at that company — striking while intent is highest. All signals — email engagement, LinkedIn activity, website visits, funding events, hiring patterns — are aggregated into a unified view that helps your team prioritize accounts with the strongest buying signals and time outreach for maximum impact.

Challenges This Solves

• Sales reps spend 20-40% of their day researching prospects manually — reading LinkedIn profiles, scanning company websites, and searching news articles
• Buying intent signals exist across dozens of sources, making it impossible for humans to monitor and synthesize them in real-time
• Static contact databases provide who to contact but not why they would be interested right now — missing the timing that drives conversion

Key Features

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  AI-generated prospect research briefs covering company overview, recent news, technology stack, and competitive landscape

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  Funding and growth signal monitoring that identifies companies in active buying cycles

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  Technology stack detection showing the tools and platforms each target company uses

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  Inbound visitor tracking that identifies anonymous website visitors and matches them to company accounts

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  Engagement signal aggregation combining email opens, link clicks, LinkedIn views, and website visits into a unified intent score

Use Cases

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  AEs preparing for sales calls with AI-generated research briefs instead of spending 20 minutes manually researching each prospect

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  Sales teams prioritizing outreach based on intent signals — funding rounds, technology changes, and leadership hires

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  Marketing teams identifying which target accounts are visiting their website and triggering personalized outbound sequences

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