FOR AI BUILDERS & AUTOMATION AGENCIES
This agent is built for you. Download it. Customize it however you want. White-label it. Resell it as a service. Run it for your own clients. The code is yours. The delivery model is yours. The pricing is yours.
You get a complete, production-ready AI agent that solves real pipeline problems for sales teams. Two delivery variants (CLI for technical clients, Desktop for non-technical founders). Five core workflows (visitor intelligence, deal resurrection, trigger prospecting, call analysis, and ICP learning). Ready to deploy, rebrand, and charge immediately.
No licensing restrictions. No per-user fees. No vendor lock-in. You own the relationship with your customer. You set the margin. You decide how deep to customize it.
This is your IP to resell. Let’s go.
Stop Chasing Dead-End Leads. Start Converting Hot Ones.
Every week, qualified prospects land on your website, stalled deals sit in your CRM, ignored, and buying signals flash across the web unnoticed. Your sales team is drowning in noise. They can’t tell the difference between a real opportunity and a tire-kicker. By the time they do, the moment is gone.
The Invisible Pipeline Agent fixes this.
It automatically surfaces high-intent leads, revives deals you lost, detects web-based buying signals, and learns what type of customer actually buys from you. No manual work. No spreadsheets. No missed opportunities.
Result: More qualified pipeline. Better close rates. Less wasted outreach.
WHAT IS IT ABOUT
The Invisible Pipeline Agent is a plug-and-play sales pipeline automation AI agent designed specifically for AI automation builders, consultants, and agency owners who want to deliver real pipeline intelligence to their clients as a service.
If you’re building custom AI agents for founders or sales teams, this agent solves the core problem every sales leader faces: they have invisible leads, dead deals, and missed signals scattered across their web presence, CRM, and email. The agent finds them, surfaces them, and acts on them automatically.
You get a complete, production-ready agent in two variants. The CLI Edition gives you clean Python code you can white-label, customize, and integrate into your own infrastructure. The Desktop Edition ships as a ready-to-use agent profile that founders can import directly into Claude Cowork with zero engineering required. Both run the same five core workflows. Both generate identical results. You pick the delivery model that fits your customers.
The agent works across five workflows: real-time visitor intelligence that scores inbound traffic and alerts sales reps when someone views your pricing page, dead deal resurrection that automatically identifies which closed-lost deals are worth calling back, trigger-based prospecting that detects buying signals across the web (new funding, leadership changes, job postings), call recording analysis that extracts objections and tells you what content you’re missing, and ICP learning that shows you which companies, industries, and titles actually convert for you.
For agency owners and AI builders, this is a done-to-order agent you can deploy, rebrand, and charge for immediately. No development required. No waiting for specifications. Just download, customize if you want, and deliver.
HOW IT WORKS (THE 5 CORE WORKFLOWS)
Workflow 1: Visitor Intelligence Pipeline
Someone lands on your website. The agent scores them in real-time.
If they hit your pricing page, the agent knows they’re in vendor evaluation. It scores them 90/100. Checks if they’re already in your CRM. Runs 5-layer suppression to make sure you’re not cold-emailing an existing customer. Then send your sales team a Slack alert: “HOT LEAD. Call John Doe at Acme Inc., VP Marketing. Just viewed pricing page.”
Your rep calls within the hour. John is mid-evaluation. Conversation happens. Deal moves forward.
Meanwhile, a blog reader landed on your site. They’re just researching. The agent scores them 30/100. Adds them to nurture, doesn’t waste your team’s time.
Result: Your sales team calls the right people at the right time. Response rate jumps from 5% to 20%+.
Workflow 2: Deal Resurrection Engine
You have 47 closed-lost deals sitting in HubSpot. Most will never reopen. But some are sleeping, not dead.
The agent analyzes each one. It looks at three factors:
First: Timing. A deal closed 75 days ago is in the sweet window for revival. A deal closed 6 months ago? Too stale. The contact may have left the company.
Second: Loss reason. If they said “timing,” maybe their budget opened up. If they said “bad fit,” they’re probably gone forever.
Third: Recent activity. Did they visit your website last week? Check. Did they open an email? Check. They’re thinking about you. Now is the moment.
The agent ranks deals by revival probability. Surfaces the top 5. Your rep calls TechCorp. “Hey Jane, we met 90 days ago. Saw you checking out our site last week. Budget situation changed?” Jane says yes. Deal reopens.
Result: 15%+ of re-engaged dead deals move back to the pipeline. Pure revenue recovery.
Workflow 3: Trigger-Based Prospecting
The web broadcasts buying signals constantly. New CMO hired. Series B just announced. Job postings exploded. Agency search active.
Most teams miss these signals entirely. By the time they notice, the window is closed.
The agent monitors the web 24/7. When it detects a signal, it surfaces that company as a warm lead. Not cold. Warm. They’re in buying mode right now.
You get a Slack alert: “StartupCo just hired Sarah Johnson as CMO. 200 employees. MarTech. Ready to email.”
You reach out: “Sarah, welcome to StartupCo. Quick question: who owns the lead generation strategy in your first 100 days?”
She replies. Not because you got lucky. Because you caught her at exactly the right moment. She’s new. She has a budget. She needs partners. You’re there.
Result: 10-20 warm leads per week. 5-10% conversion (not 1-2% like cold email).
Workflow 4: Sales Call Intelligence
You listened to 10 Gong calls last week. Nine went nowhere. One had potential, but you fumbled.
The agent watches all 10 automatically. It extracts:
What prospects objected to. “Pricing too high. Implementation timeline too long. Your competitor is cheaper.”
What they said yes to. “Budget confirmed Q2. Decision by March 15. Champion is excited.”
Who they mentioned. CompetitorX (positive sentiment). CompetitorY (negative).
Then it tells you what to do. “You need an ROI calculator. Three prospects asked for one. You don’t have it. That’s why you’re losing deals on pricing.”
You build the ROI calculator. Next time that objection comes up, you have an answer. Deal closes.
Result: You stop losing the same deal over and over. Content gaps get filled. Win rate goes up.
Workflow 5: ICP Learning
You’ve been targeting “SaaS companies, 100+ employees, VP Marketing title.” But is that actually your best customer?
The agent analyzes your last 100 prospects. It shows you the data.
SaaS companies approve 68% of the time. Web3 companies approve 0%. MarTech approves 62%.
Companies with 100-500 employees approve 65%. Companies with 50-100 employees approve 18%.
VP Marketing approves 72%. Coordinator-level approves 12%.
Trigger-based leads close 42% of the time. Cold email closes 18%.
So your real ICP is: MarTech or SaaS, 100-500 employees, VP+ title, found via web signals.
You’ve been wasting time on Web3, small companies, and cold outreach. You stop. You reallocate. Next month, your approval rate jumps 15%.
Result: Better targeting. Higher close rates. Less wasted prospecting time.
WHY IT WORKS
Sales teams spend 80% of their time chasing unqualified leads because they have no way to separate signal from noise. The Invisible Pipeline Agent works because it automates the five decisions sales leaders need to make every single day, but can’t make manually at scale.
First, it identifies high-intent buying signals in real-time. Your website is broadcasting buying intent every second (someone just viewed your pricing page, someone just clicked “contact sales,” someone just downloaded your comparison guide). Most teams never see it. The agent sees it immediately and ranks it by conversion probability. A visitor on your pricing page converts at 20+ times the rate of a random blog reader. The agent knows this. It alerts your rep within minutes.
Second, it revives dead deals intelligently. You have 50 closed-lost deals. Maybe half are dead permanently. But maybe 8 are sleeping. They’re thinking about you again (they visited your website last week, they opened your email, a new person started at their company). The agent doesn’t just list all 50. It ranks the 8 most likely to reopen, tells you why, and gives your rep the context to have an intelligent conversation.
Third, it detects buying signals your sales team would never find manually. A prospect’s company got Series B funding. They’re expanding their team. Their CEO gave an interview about new initiatives. These are warm moments to reach out. Manual research would take your rep 10 minutes per company. The agent finds 50 companies per week that hit your signals.
Fourth, it learns from your call recordings what’s actually blocking deals. You’ve lost three deals this month because prospects said, “too expensive.” Most teams lose these repeatedly because they never connect the dots. The agent listens to all your calls, finds the pattern, and tells you, “three prospects asked for a pricing comparison with your top competitor. You don’t have one. That’s why you’re losing on price.”
Fifth, it optimizes your targeting by showing you who actually buys. You think your ICP is “SaaS, 100+ employees, VP Marketing.” But what if it’s actually “MarTech, 150-300 employees, VP+ title, found via web signals”? The agent analyzes your closed deals, shows you the pattern, and you stop wasting time on companies that don’t fit. Your approval rate climbs.
Why this works: The agent automates the pattern-recognition and timing decisions that require judgment but are impossible to do manually at scale. Your reps are freed to do what they do best: have great conversations with the right people at the right time.
THE OUTCOME (WHAT BUYERS ACTUALLY EXPERIENCE)
Week 1: You get hot leads flowing in. Your reps call 10 visitors. 3 become opportunities.
Week 2: You revive a deal you lost 90 days ago. It reopens. That’s $150K back in the pipeline.
Week 3: You detect a web signal (company just got funded). You reach out. They move fast. Conversation happens within days.
Week 4: You pull last month’s call recordings. The agent shows you the 3 most common objections. You create content addressing each one. Next month, you will lose fewer deals to those objections.
Month 2: You adjust your ICP based on data. You stop targeting the wrong companies. Approval rate climbs. Close rate climbs. Your outbound ROI doubles.
By the end of 90 days, your sales team is 10x more efficient. They’re not working harder. They’re working smarter. They’re calling the right people at the right time. Deals close faster.
USE CASES: REAL OUTCOMES
SaaS Startup ($2M ARR)
- Customer Problem: 40,000 monthly website visitors, but only 200 become leads. No idea who’s researching them or when they’re in buying mode. The sales team calls everyone the same way (cold). Conversion rate is stuck at 0.5%.
- Agent Solution: The agent identifies 850 ICP-matched anonymous companies per month through visitor scoring and web intelligence. Ranks them by intent (pricing page viewers, case study downloaders, competitor comparison searchers). Sales rep reaches out within 2 hours of a high-intent signal.
- Outcome: 47 new qualified meetings in 30 days from previously invisible traffic. Meeting-to-opportunity rate jumps from 3% to 18% because reps are calling at the exact moment of buying intent. Three months later: $600K in new pipeline traced directly to the agent’s warm leads.
B2B Marketing Agency ($8M Revenue)
- Customer Problem: Deals keep dying in the “thinking about it” stage. The sales team closes three deals per month but has 12 deals stuck in limbo. No one knows when to follow up or what to say. Reps guess. Most die.
- Agent Solution: Agent detects stalled deals automatically (no activity for 14 days in CRM, no email opens). Pulls the last call transcript. Analyzes what the prospect said yes to and objected to. Drafts a context-aware resurrection email that the rep can send in two minutes.
- Outcome: 3 dead deals revived in the first month, generating $210K in recovered pipeline. Reps now have a structured process instead of guessing. Deal velocity increases 40% because every deal gets at least two touch points during the stall phase.
Cybersecurity Company (Enterprise Sales Cycle, 6+ Months)
- Customer Problem: Long sales cycle. Prospects go radio silent during their internal reviews (sometimes for 60+ days). Reps can’t tell if they’re still interested or if the deal died. By the time reps reach out again, the moment is lost.
- Agent Solution: Agent monitors the target account website behavior continuously. Detects when they return (visiting case studies again, downloading implementation guides, checking pricing). Sends Slack alert: “TechCorp just revisited your case study three times this week. They’re thinking about you again.”
- Outcome: Reps time outreach perfectly. Reconnect rate jumps to 67% (versus 41% when reaching out cold). Sales cycle compresses from 6.5 months to 5.2 months because reps catch prospects when they’re actively evaluating again, not after they’ve moved on.
AI Agency Building This Themselves
- Customer Problem: An agency or consultant wants to offer pipeline intelligence as a service to their clients, but doesn’t have the engineering resources to build it from scratch. Competitors are starting to offer pipeline automation. They need to move fast.
- Agent Solution: The agency licenses the Invisible Pipeline Agent, white-labels it in 30 minutes (change logo, rename in docs), and delivers it to three clients. Each client chooses their delivery: CLI Edition if they have engineers, Desktop Edition if they don’t. The agency sets its own pricing ($500-2,000/month per client) and keeps the margin.
- Outcome: $4,500/month in new recurring revenue by Month 2. Clients stay longer (pipeline intelligence is harder to replace than generic automation). The agency now owns a product that they can scale. Within 6 months, 8 clients, $12,000/month MRR. The agent does the heavy lifting. The agency owns the relationship.
TWO VERSIONS. PICK THE ONE THAT FITS YOU.
Version 1: CLI Edition (For Developers & Technical Teams)
You’re a developer. Or your team has engineers who can manage a Python script. You want maximum control. You want to automate everything. You want to integrate this into your existing DevOps pipeline.
The CLI Edition ships as a single Python script. One file. No bloat. No UI frameworks. Just clean code that does one job really well.
Installation takes 5 minutes:
- Unzip the file
- Run bash setup.sh (this installs everything automatically)
- Edit the .env file to include your API keys (HubSpot, Slack, Brave Search, etc.).
- Run python3 pipeline.py –test (this verifies everything is working)
Then you decide how to deploy:
- Run it as a webhook server (point your RB2B webhooks at it, it processes visitors in real-time)
- Run it on a schedule (cron job every hour for visitor scoring, daily for web signals, weekly for deal resurrection)
- Run it in Lambda or a containerized environment (works anywhere Python 3.9+ runs)
The script outputs clean JSON files to your data/ folder. You can pipe those into your own systems, Slack channels, databases, whatever you need.
Result: A fully-automated pipeline machine running on your infrastructure, integrated with your existing tools.
Who this is for: Startups with engineering teams. Companies that want to self-host. Teams that love automation and don’t mind writing a cron job or Lambda function. Anyone who wants maximum flexibility and zero vendor lock-in.
Version 2: Desktop Edition (For Non-Technical Founders & Sales Leaders)
You’re a founder. Or a sales leader. You’re not a developer. You don’t want to touch code. You want a tool you can use immediately without technical help.
The Desktop Edition ships as an agent profile that imports directly into Claude Cowork (or Claude Manus, or Codex Desktop). It works the same way you already work: copy-paste prompts, read the output, make decisions.
Installation takes 5 minutes:
- Unzip the file
- Read START_HERE.md (5-minute orientation)
- Click “Import Agent” in Claude Cowork and select Agent_Profile.aipkg
- Go to Connector_Guide.md and follow the step-by-step instructions to add your API keys (no coding required, just copy and paste your keys)
- Copy Prompt #1 from the Prompts folder and paste it into Claude Cowork
That’s it. You’re live.
Then you get a daily routine:
- Monday morning: Copy Prompt #1. “Find high-intent website visitors from the weekend.” Paste into Claude. Read results. Call the top 3.
- Wednesday: Copy Prompt #2. “Find our closed-lost deals worth calling back.” Paste. Read results. Call the best ones.
- Friday: Copy Prompt #3. “What buying signals happened this week on the web?” Paste. Read results. Email the warm leads.
- End of month: Copy Prompt #4. “Analyze what type of customer actually buys from us.” Paste. Read recommendations. Update your targeting.
It’s conversational. It’s intuitive. It works the way your brain works. No terminal. No deployment. Just copy, paste, read, and act.
Result: A fully-operational pipeline intelligence system you can operate solo, no engineers required.
Who this is for: Founders. Sales leaders. Business operators. Anyone using Claude Cowork already, Manus AI, or Codex App Desktop. Teams that want to move fast and don’t have in-house engineers. Anyone who thinks in prompts, not code.
BOTH VERSIONS RUN THE SAME AGENT
Same 5 core workflows. Same scoring algorithms. Same integration with HubSpot, Slack, Brave Search, and Gong. Same results.
The difference is delivery. CLI gets your hands dirty. A desktop keeps them clean. Pick whichever matches your team.
THE NUMBERS (WHAT TO EXPECT)
These aren’t promises. These are what we see from real teams using the agent:
- Visitor response rate jumps to 20%+. (Normal cold email is 2-5%.)
- Deal revival rate hits 15%. (You’re recovering revenue you thought was gone.)
- Web signal conversion sits at 5-10%. (Much higher than cold outreach.)
- False positive rate stays below 5%. (Your reps aren’t wasting time on bad leads.)
- Intent accuracy tops 80%. (When the agent flags someone as hot, they actually engage.)
- ICP targeting improves 10%+ per month. (The agent learns. It gets smarter each week.)
By 90 days, most teams see:
- 3-5x improvement in outbound ROI
- 50%+ reduction in wasted prospecting time
- 15-20% more deals in the pipeline
- 10-15% improvement in close rate
FINAL WORD
Sales teams are broken. They’re spending 80% of their time on unqualified leads. They’re missing hot prospects. They’re losing deals they should win because they don’t have the right content.
The Invisible Pipeline Agent fixes all three problems automatically.
You get:
- High-intent leads (not random tire-kickers)
- Dead deals revived (revenue recovery you forgot about)
- Buying signals detected (warm outreach that converts)
- Call insights extracted (know what’s blocking deals)
- Targeting optimized (your ICP improves every month)
All happening in the background while your team sleeps.
No setup complexity. No ongoing maintenance. No learning curve.
Just more deals. Faster closes. Higher revenue.
Pick your version. Install in 5 minutes. Watch your pipeline grow.
That’s it.