AI-Powered Buyer Intent Research

Stop Prospecting Blind.Find The Companies Already Moving.

Unicus uses an AI-powered process to examine business activity across large Source Lists, identify meaningful signals, verify and organize the evidence, and score each company using a defined intent framework. The result is a clear progression from Emerging Intent to Meaningful Intent to High Intent, with human approval before enrichment or outreach.

AI Research. Evidence-Backed Scoring. Human Approval. Run A Free 100-Company Test
AI Signal DiscoveryAI Evidence VerificationDefined Intent Scoring

A Better Research Engine

AI Does The Research.Evidence Drives The Score.

A traditional company list shows who may fit the market. AI-powered signal research examines what is changing now, verifies the evidence, and calculates which companies are demonstrating the strongest current intent.

AI creates the scale. Defined rules create consistency.
01

Search At Scale

AI reviews current public-web and public LinkedIn activity across large Source Lists, including business events, leadership movement, hiring, technology changes, and operational initiatives.

02

Verify And Classify

AI checks identity, source, event date, relevance, confidence, and relationship to the client’s market and offer before evidence can influence the score.

03

Remove The Noise

Duplicate coverage, stale information, weak inference, unsupported claims, and irrelevant findings are separated from legitimate signals.

04

Score The Account

Locked rules evaluate signal strength, recency, confidence, reinforcement, momentum, source diversity, and negative evidence to assign the correct intent level.

AI-Powered Core Research

From Source List ToHigh Intent.

One AI-powered research and scoring process assigns every company to an evidence-backed intent level. Human involvement begins at the approval gate, after the intent lists have been produced.

Complete Research FlowSource → Research → Score → Approve → Enrich
Starting InputSource List

Company name, domain, and industry provide the preferred minimum information for reliable research.

AI Core ResearchSignal Research

AI discovers, verifies, consolidates, and scores current evidence using the configured research framework.

System-Assigned OutputIntent Lists

No Current Intent: 0–14.99. Emerging Intent: 15–34.99. Meaningful Intent: 35–59.99. High Intent: 60–100.

Human DecisionApproval

People decide which scored accounts advance. They do not assign or alter the AI-generated intent level.

Approved AccountsEnrichment

Target contacts and available professional information are added only after approval.

Ready For UseContact Lists

Final lists retain the score, intent level, strongest signals, and evidence supporting selection.

Core Research uses a primary 90-day window, with 91–180 days retained only as supporting context.The free sample includes Emerging Intent, Meaningful Intent, and High Intent lists. Contact enrichment is not included.

What The AI Researches

Signals That RevealBusiness Movement.

Research criteria are configured around the client, industry, offer, target market, exclusions, and noise signals. AI then searches public-web and public LinkedIn activity, compares the findings, and organizes the evidence across the signal categories that matter.

01

Market Movement

  • Acquisitions and mergers
  • Private-equity activity
  • New facilities and geographic expansion
  • Rapid growth or major investment
02

Leadership Change

  • New C-level executives
  • Operations leadership changes
  • Technology leadership appointments
  • New transformation ownership
03

Strategic Hiring

  • Business-system roles
  • Digital-transformation hiring
  • Data and analytics leadership
  • Supply-chain and finance-system roles
04

Technology Change

  • Platform selection or replacement
  • Implementation, upgrade, or recovery
  • Systems-integration initiatives
  • Installed-technology transitions
05

Operational Initiatives

  • Business-process improvement
  • Finance-system modernization
  • Supply-chain transformation
  • Reporting and analytics initiatives
06

Visible Business Pain

  • Disconnected systems
  • Inventory and forecasting problems
  • Reporting and data limitations
  • Public RFPs or vendor evaluations

Evidence, Not AI Guesswork

Every Score HasA Reason.

The AI process does not produce a mysterious black-box score. Every scored signal retains traceable evidence explaining what happened, when it happened, how reliable it is, and why it matters.

01

Traceable Evidence

Every scoreable signal retains a direct source or retrievable record, event date, source type, and concise evidence summary.

02

AI Verification

AI confirms company identity, separates event dates from publication dates, classifies evidence confidence, and rejects unsupported claims.

03

Defined Scoring

Signal type, recency, confidence, reinforcement, momentum, source diversity, and negative evidence determine the account score.

04

Controlled Advancement

The system assigns the intent level. Human approval determines whether an account proceeds to contact enrichment or outreach.

AI-Powered Research Sample

100 Companies.6 High Intent.

A completed industry sample demonstrated how one AI-powered research and scoring process can organize a broad Source List into progressively stronger intent levels.

100Source Companies
22Emerging Intent
11Meaningful Intent
6High Intent

Sample based on 100 source companies evaluated through a defined AI-powered evidence and scoring process. Companies below Emerging Intent remained in the Source List as No Current Intent. This is one completed sample, not a guaranteed conversion rate. Results vary by industry, target criteria, research window, and available evidence.

Advanced AI Research Option

Add ProprietaryIntent Data.

AI-Powered Deep Signal Research can be expanded through licensed third-party providers. These sources may add account-level behavioral activity that is not available through public research alone.

Provider selection depends on market coverage, signal requirements, research volume, and the licensed data available for the target audience.

Proprietary Research Available. Custom Quote.

Additional Proprietary Signals
  • Topic consumption
  • Research surges
  • Anonymous account activity
  • Buying-stage models
  • Licensed technographic data
  • Vendor-comparison activity

Free AI-Powered Sample Test

Send 100 Companies.See What The AI Finds.

Upload a Source List of up to 100 companies. Unicus will confirm the research configuration, run the AI-powered signal research and scoring process, and return the resulting intent lists. We will review your submission and confirm scope and delivery timing within 72 hours.

  • Up to 100 source companies researched
  • AI-powered signal discovery, verification, and scoring
  • Emerging Intent, Meaningful Intent, and High Intent lists
  • Traceable evidence and documented scoring reasons
  • No contact enrichment or outreach in the free sample
  • No obligation to continue

Upload Your Company List

Preferred minimum fields: Company Name, Domain, and Industry. Accepted formats: CSV, XLS, or XLSX. Maximum file size: 10 MB.

Upload one file containing no more than 100 companies. Company Name, Domain, and Industry are preferred.

By submitting this form, you authorize Unicus to evaluate the companies provided using AI-powered research of publicly available business information and to contact you about the results.

Find The Movement Before The Market Does

Turn A Broad Source List IntoAn AI-Powered Intent List.

Start with 100 companies. See what the AI finds, verifies, and scores. Then decide whether AI-Powered Buyer Intent Research belongs in your growth system.

Run The Free Test