Press Release – Shilo Launches Signals

For Immediate Release

Shilo Launches Signals: The First AI Personality Assessment Built From Real Estate Agents’ Actual Call Recordings

New feature analyzes conversations to build DISC personality insights and generate individualized coaching recommendations for every agent – built on 21+ years of analyzed talk time

PHOENIX, AZ – March 31, 2026 – Shilo, the AI conversation analysis platform for real estate teams, today launched Signals, the first AI-powered personality assessment that builds DISC behavioral insights directly from agents’ call recordings. Unlike traditional DISC assessments that rely on self-reported questionnaires, Signals analyzes patterns across weeks and months of real conversations to surface each agent’s core motivators, fears, conflict style, and social orientation – then generates coaching recommendations tailored to how that individual actually communicates.

Every personality insight is cited back to specific calls with confidence scores, giving team leaders verifiable evidence behind each assessment.

The Problem Signals Solves

Real estate teams invest heavily in coaching programs, scripts, and training – but generally deliver the same coaching to every agent regardless of personality. Industry data shows that 87% of real estate agents leave the profession within five years (NAR), and teams waste 40-60% of their lead investment due to inconsistent call execution. A core driver of both problems: coaching that doesn’t match how individual agents process information and take action.

Signals is the solution to this problem at scale. Understanding the strengths and personality of each agent and creating hyper-specific advice to help maximize the unique individuals potential. Automatically generated from the conversations they are already having day to day.

Data Foundation

Signals is built on Shilo’s custom models built on the analysis of more than 21 years of continuous talk time across 7,000+ real estate agents. The platform has processed over 3 million calls since its launch, establishing what the company describes as the largest dataset of analyzed real estate conversations in the industry.

How Signals Works

Signals automatically generates personality insights for each agent on the platform. No surveys or assessments to schedule. The system builds insights from calls agents are already making through their existing phone systems and CRM integrations.

Each Signals profile includes:

• DISC Personality Insights – Four-dimension behavioral assessment (Dominance, Influence, Steadiness, Conscientiousness) with spectrum bars showing where each agent falls on each trait
• About Me Narrative – A plain-language personality summary generated from call patterns
• Core Motivations and Fears – What drives each agent and what triggers resistance, with confidence scores
• Conflict Style and Social Orientation – How agents handle disagreements and build relationships
• Personalized Coaching Recommendations – Specific, actionable coaching advice tailored to the agent’s personality type

Recommendations go beyond generic advice. A sample recommendation from the platform: “As an SC, you excel in making sure details are sorted for your clients. However, with high D or I clients, you’re leading with process when they just want the fastest path to listed – flip that order and save the details till the end.”

Insights are not static. As agents make more calls, Signals refines and updates assessments with increasing confidence and dynamic recommendations based on what can be improved in real time.

Availability

Signals is available immediately to all current Shilo customers at no additional cost. New customers can see Signals in action by booking a demo at shilo.ai/demo. A full product walkthrough is available at shilo.ai/blog/introducing-shilo-signals.

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