Revenue Automation

Your Competitors Are Talking to Buyers Who Are Ready. Are You?

We build AI systems that identify companies actively researching what you sell — from intent signals, hiring patterns, and technology changes — and surface them to your pipeline before anyone else reaches out.

−60%

Average lead acquisition cost reduction

Higher conversion rate vs. cold lists

48hrs

From signal to prospect in pipeline

Trusted by growth teams at

Definition

What is AI lead generation?

AI lead generation is the use of artificial intelligence and intent data platforms to identify and surface B2B prospects who are actively in-market for a specific solution. Unlike traditional lead list purchases or web form capture, AI lead generation systems monitor buying signals — technology changes, hiring patterns, content consumption, funding events, and G2/Bombora intent data — to identify the right companies at the right moment. Aroluxa builds AI lead generation systems that deliver qualified, intent-verified leads to your CRM automatically, typically reducing lead acquisition cost by 50–70% while improving conversion rates by 3–5×.

AI lead generationintent dataB2B leadsBomboraG2 buyer intentClayApollo.ioZoomInfotechnographic datafirmographic targetingbuying signalslead scoringICPpipeline automationlead enrichment

The Problem

Why most companies struggle without AI

The same patterns limit every revenue team. Here's what we fix first.

01

You're buying dead leads from bloated databases

Generic lead lists from ZoomInfo or data brokers contain 30–40% invalid contacts and zero intent signal. You're paying for volume, not buyers. AI lead generation systems surface only contacts with verified buying signals.

02

You're reaching out after the decision is already made

Most outbound reaches prospects too late or too early. Intent monitoring tells you exactly when a company is actively evaluating your category — so you reach them during the window when they're ready to buy.

03

Your ICP is defined by gut, not data

Without a systematic model of which companies actually convert, your targeting is based on assumptions. AI lead generation systems learn from your win data to continuously refine who to target next.

04

Lead routing is manual and slow

When a high-intent lead arrives, it sits in a spreadsheet until someone notices. AI systems route leads to the right rep, trigger enrichment, and initiate a personalised sequence — in under 60 seconds.

05

No scoring means no prioritisation

When every lead looks the same, reps chase the newest ones, not the best ones. AI scoring models rank leads by conversion probability — so your team always works the highest-value pipeline first.

06

You can't explain why some leads convert and others don't

Without a feedback loop from closed-won and closed-lost data, your lead generation doesn't improve. AI systems learn from your pipeline outcomes to continuously improve targeting and scoring.

Full System Scope

Everything we build, end to end

Every component is custom-built for your stack, ICP, and business model — not templated.

Intent & Signal Monitoring

  • G2 buyer intent monitoring
  • Bombora surge topic tracking
  • LinkedIn organic intent signals
  • Technology adoption and change tracking
  • Job posting pattern analysis (hiring = buying)
  • Funding event and growth trigger alerts

ICP Targeting & Enrichment

  • Ideal customer profile modeling from win data
  • Firmographic and technographic segmentation
  • Multi-source enrichment (Clay, Apollo, Clearbit)
  • Contact-level verification and scoring
  • Account hierarchy mapping
  • Lookalike account identification

Pipeline Automation

  • Automated lead creation in CRM
  • Lead scoring and prioritization rules
  • Rep routing and assignment automation
  • Sequence trigger from CRM lead creation
  • Duplicate detection and merge logic
  • Real-time Slack/email alert on high-intent leads

Reporting & Optimization

  • Lead source attribution dashboard
  • Intent signal performance tracking
  • Conversion rate by segment reporting
  • ICP model accuracy monitoring
  • Weekly lead quality reports
  • Closed-won feedback loop integration

Deployment Process

How we build and launch your system

01

Week 1

ICP Modeling & Signal Mapping

We analyze your closed-won data, interview your top reps, and define the exact firmographic, technographic, and behavioral signals that predict conversion for your specific offer.

02

Week 2

Signal Infrastructure Build

Intent monitoring connected, enrichment workflows configured, lead scoring model built, and CRM routing logic designed. All data flows automated before a single lead enters the system.

03

Week 3

Pipeline Activation

System goes live. High-intent leads begin routing to the right reps with full enrichment context. Outbound sequences triggered automatically from lead entry events.

04

Ongoing

Model Refinement & Scaling

Closed-won and closed-lost data fed back into the scoring model continuously. ICP definition refined monthly. New intent signals added as market patterns evolve.

Live and producing results in 6 weeks.

Book a strategy call

Side-by-Side

AI Lead Generation vs. Traditional Lead Lists

Factor
Aroluxa AI Lead Generation
Purchased Lead Lists
Lead quality
Intent-verified, in-market buyers
Generic, no intent signal
Data accuracy
Real-time verification
30–40% stale contacts
Timing
Reaches buyers during evaluation
Random — before or after decision
Conversion rate
4–6× higher vs. cold lists
Baseline
Cost per qualified lead
−50–70% vs. list buying
Baseline
Learning loop
Improves from win/loss data
Static — no improvement

Built on

ClayBomboraG2 Buyer IntentApollo.ioZoomInfoClearbitn8nHubSpotSalesforceSlackLinkedIn Sales Navigator

Results

From the field

SaaSHR Technology Platform

+290%

qualified pipeline in 4 months

Intent DataPipeline AutomationLead Scoring

We built an intent-driven lead generation system for a Series B HR tech platform targeting mid-market companies actively hiring. The system monitors Bombora intent data for HR software categories, tracks job posting patterns for HR roles, and enriches matches with full contact and firmographic data. Leads route to the right AE within 60 seconds of signal detection. Qualified pipeline grew 290% in four months with a 63% lower cost-per-opportunity.

Read full case study

Investment

Build your AI Lead Generation system

Fixed-scope builds. Clear deliverables. No hourly billing surprises.

Lead Gen Foundation

$4,500

one-time build

  • ICP definition and targeting model
  • Intent monitoring setup (1 source)
  • Automated lead enrichment pipeline
  • CRM lead creation and routing
  • Lead scoring model (basic)
  • Monthly performance report
Get Started
Most Deployed

Lead Gen Engine

$8,500

one-time build

  • Multi-signal intent monitoring (3 sources)
  • Full Clay enrichment with 40+ data points
  • Advanced lead scoring and prioritization
  • Automated rep routing and alerts
  • Sequence trigger from lead entry events
  • Conversion-feedback scoring loop
  • 90-day optimization support
Get Started

Lead Gen Scale

$15,000

build + ongoing management

  • Full intent signal ecosystem
  • Lookalike account modeling
  • Dynamic ICP refinement (monthly)
  • Enterprise CRM integration
  • Dedicated lead generation strategist
  • Weekly pipeline quality reporting
  • Custom scoring model per segment
Book a Call

Need a custom enterprise scope? Talk to us

FAQ

Questions, answered.

Everything you need to know about how we build AI Lead Generation systems.

Still have questions? Talk to us

We primarily use Bombora (B2B intent data aggregated from 5,000+ publishers), G2 buyer intent (signals from software comparison activity), LinkedIn organic signals (content engagement, profile views), technographic monitoring (technology adoption changes), and job posting analysis (hiring patterns that predict software purchasing). Source selection depends on your specific market and ICP.

The build takes 2–3 weeks. Intent monitoring begins generating leads in week 3 as the system is calibrated to your ICP. Most clients see meaningful lead volume — 20–50 qualified leads per month — by week 4–6. Volume increases as the scoring model refines from your pipeline feedback.

Yes. We build native integrations with HubSpot, Salesforce, Pipedrive, and Close. Leads are created with full enrichment data, scored, routed to the right rep, and tagged with the intent signals that triggered them — all automatically. Your team sees qualified prospects arrive in their CRM queue, ready to work.

We use your existing customer base as the modeling foundation — even 10–20 customers provides sufficient signal. We map their firmographic and technographic characteristics, identify the patterns, and use them as the ICP baseline. The model improves as new wins come in.

A prospecting SDR manually searches databases, enriches contacts, and builds lists. This takes 60–70% of their week and produces 50–100 contacts per day at high variability. Our system runs continuously, processes 500–2,000 signals per day, and delivers only contacts that pass scoring thresholds — so your reps spend zero time on sourcing and 100% on engagement.

Ready to automate?

Let's build your AI Lead Generation system

Book a free 30-minute strategy call. Walk away with a system architecture, deployment timeline, and cost estimate. No commitment, no pressure.

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Free 30-min call · No obligation · System live in 6 weeks