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.
AI Buyer Intent Research Program
UQIsense, Unicus Marketing's AI Buyer Intent Research Program, examines business activity across large Source Lists, verifies and organizes the evidence, groups related findings into business initiatives, and scores each company using a defined intent framework. AI determines the evidence-backed intent level. Humans decide what the business does with it.
The UQIsense Research Engine
A traditional company list shows who may fit the market. UQIsense examines what is changing now, verifies the evidence, organizes related findings into larger initiatives, and calculates which companies demonstrate the strongest current intent.
AI reviews current public-web and public LinkedIn activity across large Source Lists, including business events, leadership movement, hiring, technology changes, and operational initiatives.
Each finding is evaluated as independent evidence, duplicate coverage, meaningful reinforcement, negative evidence, or not relevant enough to score.
Related evidence is organized into larger business initiatives such as acquisition integration, finance modernization, supply-chain transformation, or technology consolidation.
Locked rules evaluate signal strength, recency, confidence, reinforcement, momentum, source diversity, and negative evidence to assign the correct intent level.
UQIsense turns scattered findings into defensible account intelligence without allowing noise or repeated reporting to manufacture intent.
Duplicate coverage is consolidated so the same event cannot increase intent more than once.
Independent evidence that strengthens an initiative is distinguished from repeated reporting.
Positive and negative evidence are considered before an intent level is assigned.
Related signals are grouped into initiatives and reduced to one Primary Actionable Reason.
UQIsense Core Research
Deep Signal Research assigns every company to an evidence-backed intent level. AI performs the research, verification, organization, initiative grouping, and scoring. Human involvement begins at the approval gate.
Company name, domain, and industry provide the preferred minimum information for reliable research.
AI discovers, verifies, consolidates, groups, and scores current public-web and public LinkedIn evidence.
No Current Intent: 0–14.99. Emerging Intent: 15–34.99. Meaningful Intent: 35–59.99. High Intent: 60–100.
People assign APPROVED, HOLD, REJECTED, or RE-RESEARCH. They do not assign or alter the AI-generated intent level.
Target contacts and available professional information are added only after approval.
Final lists retain the intent score, intent level, strongest signals, Primary Actionable Reason, supporting evidence, and approval status.
What UQIsense Researches
Research criteria are configured around the client, industry, offer, target market, exclusions, and noise signals. UQIsense searches public-web and public LinkedIn activity, but a post, announcement, article, or LinkedIn action is not automatically buyer intent. It matters only when it documents or reinforces a relevant event, initiative, leadership move, hiring pattern, system change, operational issue, or other meaningful buying condition.
Evidence, Not AI Guesswork
UQIsense does not return a mysterious black-box score or a pile of disconnected signals. It produces evidence-backed account intelligence that explains what happened, when it happened, what initiative is forming, and why the company deserves attention now.
Every scoreable signal retains a direct source or retrievable record, event date, source type, and concise evidence summary.
AI confirms company identity and timing, distinguishes independent evidence from duplicate coverage and reinforcement, considers negative evidence, and rejects findings that are not relevant enough to score.
Each account includes its intent score, intent level, strongest signals, supporting evidence, approval status, and a Primary Actionable Reason: the strongest evidence-backed reason it deserves attention now.
AI determines the evidence-backed intent level. Humans decide whether the account is APPROVED, HOLD, REJECTED, or RE-RESEARCH and what the business does next.
UQIsense Research Sample
A completed industry sample demonstrated how UQIsense can organize a broad Source List into progressively stronger, evidence-backed intent levels.
Sample based on 100 source companies evaluated through the UQIsense 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.
UQIsense Advanced Research Option
UQIsense Deep Signal Research uses public-web and public LinkedIn evidence. It can be expanded with Proprietary Research from licensed third-party providers, adding behavioral or account-level signals unavailable through public research alone.
Both are UQIsense options: Deep Signal Research, or Deep Signal Research + Proprietary Research. Provider selection depends on market coverage, signal requirements, research volume, and available licensed data.
Proprietary Research Available. Custom Quote.
Free UQIsense Sample Test
Upload a Source List of up to 100 companies. Unicus will confirm the research configuration, run the UQIsense Deep 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.
Preferred minimum fields: Company Name, Domain, and Industry. Accepted formats: CSV, XLS, or XLSX. Maximum file size: 10 MB.
Find The Movement Before The Market Does
Start with 100 companies. See what UQIsense finds, verifies, organizes, and scores. Then decide how the resulting intent intelligence fits your growth system.
Run The Free Test