Gong vs Shilo

Detailed side-by-side comparison to help you choose the right tool

Gong

Sales & CRM

AI operating system for revenue teams that drives productivity, predictability, and growth through specialized AI agents and automated workflows.

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Starting Price

Custom

Shilo

Business AI Solutions

AI assistant built for real estate teams that listens, coaches, and guides agents in real time to help them close deals with confidence.

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Starting Price

Custom

Feature Comparison

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FeatureGongShilo
CategorySales & CRMBusiness AI Solutions
Pricing Plans10 tiers4 tiers
Starting Price
Key Features
  • β€’ Conversation Intelligence: Automatically records, transcribes, and analyzes sales calls, video meetings, and emails to surface insights about deal health and buyer sentiment.
  • β€’ Deal Intelligence: Tracks deal progression across pipeline stages, flags at-risk opportunities, and highlights gaps in stakeholder engagement or next steps.
  • β€’ AI Agents and Automation: Automates follow-up emails, meeting summaries, CRM updates, and action item tracking using AI agents trained on revenue interaction data.
  • β€’ Real-time speech-to-text transcription optimized for real estate terminology
  • β€’ Live coaching cards with objection-handling suggestions during calls
  • β€’ AI-powered deal-stage tracking tied to coaching moments

πŸ’‘ Our Take

Choose Shilo if your team is exclusively focused on real estate sales and you need coaching prompts tuned to property objections, comparable sales data, and real estate-specific terminology. Choose Gong if you need a proven, industry-agnostic revenue intelligence platform with extensive third-party validated results, broader enterprise integrations, and established market presence across multiple sales verticals beyond real estate. Gong typically costs $100–$150 per user per month, which likely puts it in a similar range to Shilo but with a longer track record and more extensive independent validation.

Gong - Pros & Cons

Pros

  • βœ“Industry-leading conversation intelligence with highly accurate transcription, speaker separation, and topic/keyword tracking across multiple languages and meeting platforms
  • βœ“Deep deal and pipeline intelligence that ties conversation signals (competitor mentions, risk language, stakeholder engagement) directly to forecast and CRM data for objective deal inspection
  • βœ“Strong coaching workflows with searchable call libraries, scorecards, and the ability to share specific call moments, making it valuable for sales enablement and onboarding ramp
  • βœ“Specialized AI agents and automation that handle CRM updates, follow-up email drafts, call briefs, and next-best-actions, reducing the administrative burden on reps
  • βœ“Mature ecosystem with 5,000+ customers and integrations across Salesforce, HubSpot, Zoom, Teams, Google Meet, Slack, and major sales engagement tools
  • βœ“Robust analytics for revenue leaders, including market and competitive intelligence aggregated across all recorded conversations in the org

Cons

  • βœ—Enterprise-only pricing with no public tiers and a platform fee plus per-seat model that is significantly more expensive than lightweight meeting recorders
  • βœ—Implementation and adoption require meaningful change management β€” reps must consent to recording, and managers must build coaching habits for the platform to pay back
  • βœ—Feature breadth can feel overwhelming for smaller teams; many capabilities (forecasting, market intel, agents) are most useful at scale and may go unused in lean orgs
  • βœ—CRM and forecasting modules, while improving, still face strong competition from purpose-built tools like Clari and may require trade-offs vs. existing RevOps stacks
  • βœ—Recording-heavy workflows raise privacy, consent, and data residency considerations that must be navigated carefully in regulated industries and certain regions

Shilo - Pros & Cons

Pros

  • βœ“Specialized focus on live real estate sales conversations rather than trying to be an all-in-one platform, filling a gap that general CRMs leave open
  • βœ“Real-time AI coaching during calls provides agents with contextual suggestions and objection-handling prompts without leaving the conversation
  • βœ“Manager dashboard provides granular visibility into team performance, coaching adherence metrics, and training opportunity identification
  • βœ“Integrates with real estate CRMs and existing telephony stacks rather than requiring agents to switch platforms
  • βœ“AI suggestions improve over time by learning from a team's own successful calls, tailoring to specific markets and property types
  • βœ“Objection library covers over 200 common real estate objections with AI-generated rebuttals tuned to property-specific vocabulary

Cons

  • βœ—Pricing is not publicly listed and requires contacting sales, making quick budget comparisons difficultβ€”refer to comparable platforms like Gong ($100–$150/user/month) for general market context
  • βœ—Relatively new entrant in the market with limited long-term performance data across diverse economic conditions
  • βœ—Vendor-published performance claims have not been independently verified by third-party audits as of early 2026
  • βœ—Focused narrowly on call coaching, so teams still need separate tools for lead generation, marketing automation, and transaction management
  • βœ—Effectiveness may vary significantly across different real estate markets, property types, and buyer demographics, requiring a pilot period to validate

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