While most sales teams are still buying stale contact lists from ZoomInfo for $15,000 annually, a small group of professionals discovered something that changes everything about B2B lead generation.

They're using AI agents to scrape and enrich 100-200 qualified business leads in 90 minutes.

With email addresses. Instagram handles. Phone numbers. Website URLs. All verified and organized into CRM-ready spreadsheets.

Cost per lead: $1.13

Traditional databases: $3-8 per lead

Hiring VAs: $5-10 per lead

And here's the part that should terrify traditional lead gen companies:

The AI does in 90 minutes what used to take 40 hours of manual research.

This isn't a "coming soon" feature. This is happening right now, and the professionals who figure it out in the next 6-12 months will dominate their markets while everyone else is still manually copying email addresses from websites.

A marketing agency needed 100 local restaurants for a social media campaign. Traditional approach: hire a VA for $500-800 to research for 2 weeks.

With AI agents: 90 minutes. $75 in labor cost. 68% email find rate. 12% response rate.

A B2B SaaS company needed 200 marketing agencies across 5 cities for a nationwide campaign. Traditional approach: $7,500 monthly in research time.

With AI agents: $600 monthly. Savings: $6,900 per month.

An event planner needed comprehensive vendor lists for a corporate conference. Traditional approach: 20 hours at $85/hour = $1,700.

With AI agents: 3 hours. $255. Savings: $1,445 per event.

These aren't hypothetical examples. These are real results from people using Comet's AI Agent mode to scrape Google Maps and automatically enrich business data.

And most businesses have no idea this capability even exists.

Here's what the traditional lead generation industry doesn't want you to know:

Those databases they sell you? Often 6-18 months old. Email bounce rates of 30-40%. You're paying $15,000 annually for data that damages your sender reputation.

VA and SDR research? Expensive and slow. At $3-5K monthly, you get maybe 200-300 leads. Quality varies wildly. Turnover kills consistency.

But AI agents can:

→ Scrape 100-200 businesses from Google Maps in 10-15 minutes → Automatically enrich with email, phone, Instagram, and website → Verify contact information by cross-checking sources → Filter by ratings, reviews, location, and business criteria → Organize into CRM-ready exports with zero manual work → Cost $20/month instead of $15,000 annually

The time savings alone are worth thousands monthly.

But the real advantage? Current, verified data instead of stale databases.

Here's the simplified version:

Step 1: Tell the AI what businesses you need (industry, location, criteria) Step 2: AI scrapes Google Maps, extracting names, ratings, addresses Step 3: AI searches the web for each business's contact information Step 4: Export perfectly formatted spreadsheet ready for your CRM

Total time: 90-120 minutes for 100 fully enriched leads

Traditional method: 40 hours of manual research

Time saved: 38+ hours per 100 leads

(The complete step-by-step breakdown with exact prompts is in the free guide)

Let me show you one calculation:

Marketing Agency - Manual Research:

AI Agent Method:

Savings: $1,925 per 100 leads

For a B2B sales team of 5 reps? The monthly savings jump to $6,900. Annually? $82,800.

(Full ROI calculations for 7 different business scenarios are in the playbook)

Here's the uncomfortable truth:

We're in a 6-12 month golden window where AI agents can scrape public business data without restriction.

But legal frameworks are developing. Privacy regulations are being drafted. Platforms are discussing restrictions.

In 12-18 months, this might look different:

The professionals who master these workflows NOW will have:

12-18 months of skill development head start Established processes with proven ROI Databases already built before potential restrictions

Early adopters in new technology cycles compound advantages for years.

This is one of those cycles.

Most Voice AI deployments fail for the same reasons: unclear logic, limited testing tools, unpredictable latency, and no systematic way to improve after launch.

The BELL Framework solves this with a repeatable lifecycle — Build, Evaluate, Launch, Learn — built for enterprise-grade call environments.

See how leading teams are using BELL to deploy faster and operate with confidence.

Get the Guide

When I realized what was possible with AI lead scraping, I spent 3 weeks building something comprehensive:

The 15-Minute AI Lead Pipeline Builder

36 pages. Complete implementation framework. Industry-specific workflows. Copy-paste prompts.

Here's what's inside:

Part 1: Quick Start Guide

Part 2: The Prompt Library

Part 3: Industry-Specific Playbooks

Part 4: Optimization & Troubleshooting

Part 5: Export, Compliance & Success Metrics

Everything is specific. Actionable. Ready to implement today.

Download the complete free playbook here →

I gave early access to a small group. Here's what they reported after one week:

Marketing director: "Built 75 coffee shop leads in 90 minutes. 12% response rate—4x better than purchased lists. ROI in first week."

B2B sales rep: "Caught a competitor's price drop within 24 hours using the monitoring workflow. Saved a $15K deal."

E-commerce seller: "Found a new supplier 18% cheaper in 10 minutes. Saves $22K annually."

Event planner: "Complete vendor list in 3 hours instead of 20. Invoiced the same, pocketed the time savings."

Startup founder: "Canceled our $800/month VA. One person generates better leads in 2 hours weekly. $9,600 annual savings."

These are typical results from professionals who learned the system.

(More case studies with exact prompts used are in the guide)

Here's what separates this from ChatGPT or Claude:

Real-time web search integration.

ChatGPT and Claude have knowledge cutoffs. Their data ends months ago. They can't scrape current business information.

Comet searches the live internet for every query through Perplexity's search engine.

For lead generation, this means:

Stale data kills conversion rates.

Fresh, verified data from real-time scraping makes all the difference.

Here are some hints of what's possible:

Local Business Outreach: Scrape 100 restaurants with specific rating ranges, find Instagram followers counts, filter for growth opportunities, export contact list.

B2B Sales: Scrape agencies by employee count, find decision-maker LinkedIn profiles, get verified business emails, organize by company size.

Event Planning: Multi-category vendor sourcing (venues, caterers, photographers), complete contact info and portfolio links, organized by specialty.

Competitive Intelligence: Monitor competitor pricing and reviews automatically, get alerts for significant changes, track market positioning.

Partnership Development: Find businesses with specific social media presence, filter by audience size, identify micro-influencer opportunities.

(The exact prompts for all of these—plus 15 more workflows—are in the free playbook)

Week 1: Test with 20 businesses, validate data quality, test outreach Week 2-4: Scale to 50-100 weekly, establish routines, build templates Month 2+: Optimize workflows, expand markets, automate monitoring

After the initial learning curve (about 3 hours), this becomes a repeatable system requiring 1-2 hours weekly.

(The complete week-by-week action plan is in Part 5 of the guide)

Use AI lead scraping if you:

If you're making business decisions based on outdated information or spending thousands monthly on lead generation, this playbook will change your entire approach.

I'm giving away the entire system—all 36 pages, complete workflows, industry-specific prompts—completely free.

Why free?

Because I believe the window matters more than monetization. The professionals who adapt NOW will have advantages that last years.

Download The 15-Minute AI Lead Pipeline Builder here →

Inside you'll get:

Everything you need to replace your lead generation process with AI agents.

Six months from now, there will be two types of sales professionals:

Type 1: Using AI agents to scrape fresh leads in 90 minutes, operating with current data, paying $1.13 per lead.

Type 2: Still buying stale databases for $15K annually, spending 40 hours per 100 leads, wondering why conversion rates are terrible.

The tools exist. The capabilities work. The window is open.

But it won't stay this way forever.

Get the complete playbook before restrictions hit →

The lead generation wars are over. AI agents won. The only question is: will you master this before everyone else does?

P.S. - The guide includes the exact prompt I used to scrape 100 coffee shops and enrich them with emails and Instagram in 90 minutes. Cost per lead: $1.13. Response rate: 12%. It's on page 8.

P.P.S. - If you know someone still paying thousands monthly for lead lists or VAs, send them this. You might just save them $50K+ annually.