Fill Your Pipeline Without Spending Hours on Manual Prospecting.
Your RunTheAgents assistant browses directories, LinkedIn, company websites, and industry listings to find and qualify leads. It delivers research-backed prospect lists so your sales team talks to the right people.
The Lead Generation Bottleneck
For most B2B companies, lead generation is a grind. Sales reps spend 21% of their time researching prospects, according to Salesforce data. That is a full day each week spent browsing LinkedIn, checking company websites, and building spreadsheets instead of having conversations.
The quality problem is even worse. Purchased lead lists are stale, generic, and everyone else has them too. The best leads come from targeted research: finding companies that match your ideal customer profile, understanding their specific situation, and crafting relevant outreach. That research is valuable but time-consuming. This is exactly the kind of work an AI assistant excels at, because it combines web browsing with intelligent analysis.
Lead Generation Capabilities
Targeted Company Research
Define your ideal customer profile and your assistant browses the web to find matching companies. It checks company size, industry, technology stack, recent funding, hiring patterns, and other signals you specify.
Contact Discovery
Once target companies are identified, your assistant researches key decision-makers. It checks LinkedIn profiles, company team pages, press releases, and conference speaker lists to find the right people to contact.
Lead Qualification
Not every company that matches your criteria is a good lead right now. Your assistant looks for buying signals: job postings that indicate growth, technology migrations, new funding rounds, or public statements about relevant challenges.
Enrichment and Context
Each lead comes with context that makes outreach relevant. Instead of a cold list of names, you get: what the company does, their current tech stack, recent news, and a suggested angle for your first message.
Building a Lead Generation Workflow
Define Your Ideal Customer Profile
Tell your assistant who you are looking for: industry, company size, geography, technology used, funding stage, or any other qualifying criteria. Be specific. The more defined your ICP, the better the leads.
Set Research Parameters
Specify where to look: LinkedIn, industry directories, Crunchbase, review sites, conference attendee lists, or specific websites. Your assistant browses these sources systematically.
Review and Prioritize
Your assistant delivers a qualified lead list with company profiles and contact information. Review the list, prioritize the strongest fits, and start your outreach with the context already gathered.
Iterate on Criteria
After your first outreach batch, refine the criteria based on what converts. Your assistant adjusts its research parameters and the next batch improves. Over time, lead quality compounds.
AI Lead Research vs. Lead Database Services
Lead Databases (ZoomInfo, Apollo)
- $100-500+/month for access
- Static data, often outdated
- Same leads available to all subscribers
- Limited context beyond contact info
- No customization of qualification criteria
RunTheAgents AI Research
- $49.95/month plus API costs
- Live web research, always current
- Custom research unique to your criteria
- Rich context and buying signals
- Fully customizable qualification logic
Frequently Asked Questions
Related Pages
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