Hidden Lead Discovery Engine
A systematic framework to identify high-intent, off-radar sales leads using public signal intelligence.
Customise & copy
Add the context you have. The prompt updates as you work.
Describe your ideal customer profile and what you are selling.
List directories and standard databases you have already exhausted.
Specify your average deal size and the events that indicate immediate need.
Live prompt
3 fieldsAct as an expert B2B go-to-market strategist. Develop a systematic, high-signal strategy to identify, qualify, and source hidden, best-fit sales leads that are invisible to traditional outbound channels based on the following parameters: Ideal Customer Profile and Core Offer: Enterprise cybersecurity software targeting CISOs at Fortune 500 financial institutions. Current Outbound Channels Already Used: ZoomInfo, LinkedIn Sales Navigator, cold email sequences. Commercial Context (Deal Size & Buying Triggers): Average contract value is $120k ARR. Primary triggers are recent regulatory fines or hiring a new Chief Information Security Officer. Your output must strictly rely on legitimate, public-signal discovery methods without suggesting illegal or ToS-violating web scraping. Avoid generic advice and provide immediately actionable instructions. Structure your response into exactly three sections: 1. Unconventional Data Sources: Provide a categorized list of 3-4 proxy indicators or untapped data sources for finding these leads. 2. Sourcing Methodology: Provide concrete search query logic, boolean strings, or step-by-step discovery workflows for each source. 3. Qualification Filter: Provide a brief, high-signal filter to ensure leads are genuinely best-fit before any outreach.
Proof before you use it
A real example
Tested on gemini-3.1-flash-lite on 2026-09-04
{
"icp_description": "Enterprise cybersecurity software targeting CISOs at Fortune 500 financial institutions.",
"current_channels": "ZoomInfo, LinkedIn Sales Navigator, cold email sequences.",
"commercial_context": "Average contract value is $120k ARR. Primary triggers are recent regulatory fines or hiring a new Chief Information Security Officer."
}A small ritual that works
How to use it
- 01Input your current ICP, existing channels, and specific commercial triggers.
- 02Execute the generated search queries across the identified unconventional data sources.
- 03Apply the provided qualification filter to rank leads by intent and fit.
- 04Prioritize outreach based on the high-signal triggers identified.
Why it works
The prompt enforces a rigorous, event-driven methodology for B2B prospecting. By directing users away from commoditized databases and toward non-traditional regulatory, legal, and operational public data sources (such as SEC filings and regulatory enforcement databases), it targets prospects experiencing immediate, verifiable operational pressure. The inclusion of precise boolean queries and a strict qualification filter ensures that only accounts with high commercial intent and alignment with the target deal size are prioritized.
Where it fails
INSUFFICIENT_EVIDENCE
Customisation tips
Adapt the boolean search strings and data sources to align with your specific industry's regulatory bodies and public disclosure channels. Ensure that the qualification filter metrics (such as executive tenure or operational complexity thresholds) are calibrated to match your specific average contract value and sales cycle requirements.
Watch-outs
- Avoid generating or suggesting outreach templates that include unverified claims of past client success in specific regions.
- Ensure all data collection methods rely strictly on public-signal discovery and comply with platform terms of service without utilizing unauthorized scraping or automated circumvention.
- Do not include introductory commentary outside of the mandated three-section structure.
Works in
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