b2b lead qualification agent

    1

    Research, score, and qualify B2B prospects against your ICP using live data and cited evidence.

    $5

    Secure checkout via Stripe

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    b2b lead qualification agent

    Example session with this skill installed

    Qualify "Stripe" for our Series B fintech security product. Our ICP targets high-growth payment companies with 5,000+ employees using AWS and Kubernetes. Budget authority is C-level or VP Engineering.

    • Read your context and instructions
    • Compiled the b2b lead qualification

    I have completed the research and qualification for Stripe against your fintech security ICP.

    Lead Qualification Report

    Company: Stripe
    Domain: stripe.com
    Qualified Date: 2024-05-22
    Qualification Status: STRONG FIT

    Dimension Scores

    DimensionScoreEvidenceReasoning
    Industry5Payment processing and financial infrastructure provider.Core business aligns perfectly with fintech security needs.
    Size5Reported 7,000+ employees globally (LinkedIn data).Well above the 5,000+ employee threshold.
    Tech Stack5Public engineering blogs cite heavy AWS and Kubernetes usage.Matches required technical infrastructure exactly.
    Authority4VP Engineering and CISO roles are active and well-funded.Clear executive-level ownership for security initiatives.
    Growth4Recent $6.5B funding round and expansion into new markets.High-growth signals indicate budget availability for scale.

    Risks & Gaps

    • Competitive Lock-in: Likely has mature internal security tooling or existing legacy partnerships.
    • Evidence Gap: Specific budget cycles for FY2024 are not publicly disclosed.

    Recommended Next Action

    Personalized outreach to the VP of Engineering focusing on infrastructure-scale security within 5 business days.

    Evidence Quality

    • Cited sources: 6
    • Assumptions made: 1 (Budget availability inferred from funding)
    • Gaps remaining: 1

    Next steps

    1. Review the "Tech Stack" evidence to tailor the technical pitch.
    2. Confirm the specific VP of Engineering contact via your CRM.
    3. Initiate the outreach sequence within the next 48 hours to capitalize on recent growth news.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Sales teams waste hours researching dead-end leads and pitching companies that lack the budget, headcount, or technical infrastructure to buy. Manual qualification is inconsistent, leading to biased scoring and messy CRM data.

    What it does

    • Researches target companies using live web data to verify size, industry, and growth signals.
    • Scores prospects on a 1-5 scale against your specific Ideal Customer Profile (ICP) criteria.
    • Identifies technical stacks and buying signals like recent funding, leadership changes, or hiring trends.
    • Flag risks such as budget freezes, layoffs, or competitive lock-in with cited evidence.
    • Recommends a single, concrete next sales action based on the final fit classification.

    Why this beats prompting it yourself

    Standard prompts often hallucinate company data or provide vague "maybe" scores. This skill enforces a strict evidence-based protocol where every claim must be cited or flagged as an assumption, ensuring your sales team acts on facts rather than AI-generated guesses.

    Use cases

    • Triaging a CSV of domain names before starting a cold outreach campaign.
    • Performing deep-dive fit assessments for high-value inbound demo requests.
    • Standardizing qualification logic across a global SDR or BDR team.
    • Auditing existing CRM accounts to identify "Emerging Fit" leads ready for re-engagement.

    Known limitations

    Optimized for B2B only, not B2C leads. Requires active web search capabilities for live research. Results depend on the availability of public signals like LinkedIn, job boards, or news sites.

    Designed for B2B only. Accuracy depends on the availability of public signals (LinkedIn, job boards, news). Requires an agent with web search capabilities.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan passed 1 month ago

    Permissions

    Network Access
    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This agent automates the research phase of sales by using live web data to score prospects against your Ideal Customer Profile (ICP), ensuring your team only focuses on leads with the right budget, tech stack, and growth signals.

    Every score and claim generated by the agent is backed by cited evidence from live web sources, eliminating the 'hallucination' and vague guessing common in standard AI prompts.

    This skill is designed for B2B environments and works best when researching companies with a public digital footprint, such as LinkedIn profiles, news releases, or active job boards.

    You will receive the proprietary agent configuration and logic protocols; simply import these into your supported AI platform and provide your specific ICP criteria to begin.

    The skill requires an AI agent with active web-browsing capabilities to perform real-time research, as it does not rely on outdated static databases.

    Yes, you can input your specific ICP requirements—such as preferred tech stacks, minimum headcount, or specific growth triggers—to ensure the 1-5 scoring aligns with your sales goals.

    New in Sales & Lead Gen