AI Tools for Finding and Qualifying Sales Leads
Build a list of target accounts, enrich them with contact and intent data, and score them before outreach. Most teams underinvest in enrichment and waste sales time on low-fit leads.
How teams typically do this
Best AI tools to find & qualify leads
The best starting point for most teams. 275M+ contacts, built-in email sequencing, and AI lead scoring that improves as you work it. The free tier is genuinely useful for solo and small teams.
The enrichment layer serious outbound teams use. Pulls from 50+ data sources and uses AI to write personalised lines for every lead. Steep learning curve but transforms lead quality.
The enterprise standard for B2B data depth and intent signal coverage. Expensive but hard to replace at scale — especially for industries with complex buying committees.
Prompts to get started
Use this before you start prospecting. A sharp ICP saves hours of manual filtering and dramatically improves lead quality.
I want to define my ideal customer profile for [PRODUCT/SERVICE]. Here's what I know about our best customers: - Industry: [e.g. B2B SaaS, professional services] - Company size: [e.g. 50–500 employees] - The problem they were trying to solve: [describe] - Why they chose us: [describe] Please help me: 1. Define 3–5 firmographic criteria (industry, size, geography, tech stack) 2. Define 2–3 behavioural signals that indicate buying intent 3. Write a one-paragraph ICP summary I can share with my team 4. Suggest 5 questions I can use to qualify leads against this ICP
Paste a list of companies or contacts and get a scored, prioritised shortlist with reasoning.
I have a list of leads I need to prioritise. My ICP is: [paste ICP summary]. Here are the leads (company name, industry, size, any notes): [PASTE YOUR LIST] For each lead, please: 1. Score it 1–10 against my ICP 2. Give one sentence of reasoning 3. Flag any red flags or missing information 4. Return the list sorted by score, highest first
Quick account research before outreach. Works best with an AI that has web access.
Research [COMPANY NAME] for a sales outreach. I sell [PRODUCT] to [ICP]. Please give me: 1. What the company does (2 sentences max) 2. Recent news, funding, or hires in the last 6 months 3. Likely pain points relevant to what I sell 4. Who the likely buyer/champion is (title) 5. One specific hook I can use in my opening line
Define qualification criteria before reps start spending time on leads.
Build a lead qualification framework. What we sell: [describe] ICP: [firmographics] Average deal size: [approximate] Sales cycle: [length] Disqualifiers: [leads we should never pursue] Please create: 1. A scoring rubric adapted from BANT for our business 2. 5-7 discovery questions that reveal qualification signals 3. What a 1, 3, and 5 score looks like for each dimension 4. Definition of MQL vs SQL for our business 5. Handoff criteria: at what score does a lead move to sales?
Use this before you start prospecting. A sharp ICP saves hours of manual filtering and dramatically improves lead quality.
I want to define my ideal customer profile for [PRODUCT/SERVICE]. Here's what I know about our best customers: - Industry: [e.g. B2B SaaS, professional services] - Company size: [e.g. 50–500 employees] - The problem they were trying to solve: [describe] - Why they chose us: [describe] Please help me: 1. Define 3–5 firmographic criteria (industry, size, geography, tech stack) 2. Define 2–3 behavioural signals that indicate buying intent 3. Write a one-paragraph ICP summary I can share with my team 4. Suggest 5 questions I can use to qualify leads against this ICP
Paste a list of companies or contacts and get a scored, prioritised shortlist with reasoning.
I have a list of leads I need to prioritise. My ICP is: [paste ICP summary]. Here are the leads (company name, industry, size, any notes): [PASTE YOUR LIST] For each lead, please: 1. Score it 1–10 against my ICP 2. Give one sentence of reasoning 3. Flag any red flags or missing information 4. Return the list sorted by score, highest first
Quick account research before outreach. Works best with an AI that has web access.
Research [COMPANY NAME] for a sales outreach. I sell [PRODUCT] to [ICP]. Please give me: 1. What the company does (2 sentences max) 2. Recent news, funding, or hires in the last 6 months 3. Likely pain points relevant to what I sell 4. Who the likely buyer/champion is (title) 5. One specific hook I can use in my opening line
Define qualification criteria before reps start spending time on leads.
Build a lead qualification framework. What we sell: [describe] ICP: [firmographics] Average deal size: [approximate] Sales cycle: [length] Disqualifiers: [leads we should never pursue] Please create: 1. A scoring rubric adapted from BANT for our business 2. 5-7 discovery questions that reveal qualification signals 3. What a 1, 3, and 5 score looks like for each dimension 4. Definition of MQL vs SQL for our business 5. Handoff criteria: at what score does a lead move to sales?