Shilo

Shilo is an AI-powered real-time coaching platform designed specifically for real estate sales teams, with pricing estimated at $75–$150 per agent per month for team plans and custom enterprise pricing based on team size and contract length. Unlike general-purpose AI assistants or broader real estate CRMs such as Ylopo or Lofty that focus primarily on lead generation and marketing automation, Shilo concentrates on the live conversation itself—listening to agent calls and providing in-the-moment prompts, objection-handling suggestions, and closing techniques while the prospect is still on the line.

The platform works by integrating with common telephony and video conferencing systems used by real estate brokerages. During a live call or virtual meeting, Shilo's AI engine transcribes the conversation in real time, analyzes buyer and seller intent signals, and surfaces contextual coaching cards to the agent's screen. These cards may include suggested responses to price objections, prompts to ask qualifying questions, or reminders about comparable sales data relevant to the property under discussion.

Shilo targets mid-size to enterprise real estate brokerages and teams rather than individual solo agents. The platform includes a manager dashboard where team leaders can review call recordings, track coaching adherence metrics, and identify training opportunities across their roster. According to Shilo's published case studies, teams using the platform have reported conversion rate improvements of approximately 15–25% from initial inquiry to signed contract, though independent third-party audits of these figures have not been published as of early 2026. Industry analysts note that real-time coaching tools in adjacent verticals (such as Gong and Chorus in B2B sales) have demonstrated 10–30% conversion lifts in peer-reviewed studies, lending plausibility to Shilo's claims.

Key capabilities include real-time speech-to-text transcription optimized for real estate terminology with reported accuracy above 95% for property-specific vocabulary, an objection library with AI-suggested rebuttals covering over 200 common real estate objections, deal-stage tracking that ties coaching moments to pipeline progression, CRM integration for automatic call logging with support for over 15 major real estate CRMs, and post-call analytics with coaching scorecards. The system learns from successful calls within a team's own history, meaning its suggestions become more tailored over time to the specific market, property types, and buyer demographics that team encounters. Shilo reports that its AI engine processes an average call in under 300 milliseconds for real-time suggestion delivery.

Shilo differentiates itself from competitors in the AI real estate space by focusing narrowly on the live sales conversation rather than attempting to be an all-in-one platform. While tools like Ylopo emphasize digital marketing and lead nurturing, and Lofty (formerly Chime) provides a full CRM with AI lead scoring, Shilo positions itself as a complementary layer that sits on top of existing tech stacks. This specialization means agents do not need to abandon their current CRM or marketing tools to adopt Shilo.

The platform is built on large language model technology fine-tuned on real estate sales conversations. Shilo states that its training data draws from a large corpus of anonymized real estate call transcripts, though the exact dataset size and composition have not been independently verified. Prospective buyers should note that the company is relatively young in the market, and long-term performance data across diverse markets and economic conditions is still being established as of 2026. Teams considering Shilo should request a pilot period to evaluate coaching accuracy for their specific market segment before committing to an annual contract.