How Bebop 2.0 Finds Better Leads — What's Changed Under the Hood

The Short Version

	Bebop 1.0	Bebop 2.0
How it starts	AI suggests companies, then Bebop checks them	Bebop researches the market first, then AI helps judge fit
Primary focus	Fast, broad lead discovery	Better evidence, better fit, better quality
Intent data	Separate mode, not always central	Built into every search
Website evidence	Rarely used as a core signal	First-class input — websites are searched for proof for all searches
Contact quality	Filtered after companies are found	Part of the search and ranking process
Result style	More volume-oriented	More quality and evidence-oriented

How Bebop 1.0 Found Leads

In Bebop 1.0, the process worked like this:

You described what you were looking for
Bebop rewrote your request into several related searches
AI models proposed a list of companies that seemed to match
Bebop checked whether those companies existed in its database
Bebop filtered contacts by job title relevance
Results were streamed back to you

This approach was fast and flexible — but the starting point was always an AI-generated list of company names. The system then worked backwards to validate them.

Think of it as "suggest first, check second."

How Bebop 2.0 Finds Leads

Bebop 2.0 works more like a human sales researcher. Instead of asking AI to guess which companies might fit, it goes out and finds evidence first — then decides which companies are worth showing you.

Here's the 2.0 process:

Understand the buyer — Bebop figures out who would actually buy what you sell, not just companies that mention similar words
Map to real data — it connects your request to known intent topics, job titles, industries, company sizes, and locations
Search website evidence — it searches real company websites to find businesses that actually describe themselves as relevant
Enrich with contact data — it pulls in company and contact information for the businesses it found
Compare signals across sources — it cross-references website evidence, intent data, company data, and contact relevance together
Score and rank — companies with multiple strong signals rank highest
Reject weak matches — competitors, lookalikes, and companies without enough proof are filtered out
Return the final list — fewer leads, but each one is backed by real evidence

Think of it as "research first, validate everything, then deliver."

The Biggest Difference — Evidence Over Guesswork

In Bebop 2.0, a lead makes the list because multiple sources of evidence confirm it is a match:

✅ The company appears in Bebop's contact and company digital footprint search or database
✅ The company has relevant decision-maker contacts we can detect
✅ The company shows relevant buying intent signals
✅ The company's own website confirms it operates in the right market

The system isn't just asking "could this company match?" — it's asking "do multiple pieces of evidence support this company as a real buyer?"

A Real Example

Say you're looking for companies that might buy a field-service scheduling product.

How 1.0 handled it:

Rewrote your request into several searches
AI suggested companies that seemed to match
Bebop checked which ones had contact data
Results streamed back fast — broad but AI-generated

How 2.0 handles it:

Identified the likely buyers — companies with field teams, scheduling complexity, and operations leaders
Mapped that to known industries, job titles, and intent topics
Searched company websites to find businesses actually operating in field services
Cross-referenced with contact data and intent signals
Rejected vendors, weak lookalikes, and companies without enough proof
Returned leads with clear, specific reasons why each one is worth contacting

Same request. Very different process. Much stronger results.

Preview Mode and Full Mode — Built Around This

Bebop 2.0's two run modes are designed around this new research-first approach:

Preview Mode — a fast scoping run that helps you validate whether your search is pointing in the right direction before committing. Quick, low-cost, uses the same agentic approach
Full Mode — once you're happy with the direction, Full Mode runs a deeper research process across a broader set of companies and builds out a complete, ranked lead list

Start with Preview to validate. Run Full when you're confident.

Why This Produces Better Leads

Improvement	What it means for you
Less guesswork	Leads come from market evidence, not AI suggestions
More buyer intent	Intent signals are built into every search, not a separate mode
Better evidence	Website content confirms companies actually fit your target
Better contact fit	Relevant contacts are found during the search, not after
Better rejection	Competitors and weak matches are filtered before you see them
More consistency	Every search follows the same structured research process

Need help? Visit the Bebop Help Centre or book a support session with the team.