The Research Process

How NewBizBot Accelerates Research

NewBizBot uses batch web search to research multiple companies simultaneously, reducing research time from hours to minutes while improving data quality and completeness.

The Process

1. Query Generation - The AI creates targeted searches for each data dimension including revenue, employees, ownership, and location information. For a typical single-entity query, NewBizBot executes 15-20 parallel searches, processing approximately 20,000 words of source material.

2. Parallel Execution - All searches run simultaneously rather than sequentially, dramatically reducing total research time. Multiple companies are batched together for even greater efficiency.

3. Smart Search Strategy (Funnel Approach) - NewBizBot uses early termination for unqualified prospects. If initial searches reveal a company clearly doesn't meet criteria (e.g., revenue too low), the system moves on immediately rather than wasting searches gathering unnecessary details. This funnel approach prioritizes qualified prospects.

4. Result Aggregation - Data from multiple sources is cross-validated to ensure accuracy and completeness. Conflicting information is resolved by source credibility and recency.

5. Pattern Analysis - The AI identifies trends, patterns, and opportunities across the entire dataset for strategic insights.

Efficiency gain: 15-20 searches per entity in 30-60 seconds vs. 30-45 minutes of manual research.

Live Research Example

Below is an actual batch research session where NewBizBot researched multiple companies simultaneously. Each search query was designed to gather comprehensive business intelligence including revenue, employee count, ownership structure, and location details.

Key Insights from This Research

From this batch session, NewBizBot identified:

• Size Distribution: The researched companies ranged from $795K in revenue for smaller firms to $71.6M for mid-market enterprises
• Geographic Concentration: Eight of the companies were located in California, indicating strong regional clustering and market opportunities
• Growth Signals: ALPHA Landscapes demonstrated exceptional growth, expanding from 4 to 45 employees over just 5 years
• Industry Diversity: The batch included companies across construction, consulting, manufacturing, and financial services sectors

Time Savings

Manual Research: 30-45 minutes per company × 20 companies = 10-15 hours
NewBizBot: Under 3 minutes for all companies simultaneously

Use Cases

• Competitive Intelligence - Analyze entire competitor landscapes to understand market positioning and strategic opportunities
• Market Entry - Identify potential partners, customers, or acquisition targets when entering new markets
• Due Diligence - Gather preliminary intelligence quickly for investment decisions or partnership evaluations
• Lead Qualification - Evaluate multiple prospects simultaneously at scale for efficient pipeline management

The batch research capability transforms business development from reactive to proactive, enabling teams to identify and pursue opportunities faster than competitors.