Gong vs Shilo
Detailed side-by-side comparison to help you choose the right tool
Gong
Sales & Marketing
Revenue intelligence platform that records, transcribes, and analyzes customer-facing interactions using AI to surface deal risks, coaching opportunities, and pipeline insights for B2B sales teams.
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CustomShilo
Business
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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đź’ˇ 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
- ✓Industry-leading conversation intelligence with deep analytics on talk patterns, sentiment, and competitive mentions—backed by a 4.8/5 average rating across 6,200+ G2 reviews
- âś“Comprehensive Revenue AI OS unifying conversation intelligence, deal analytics, forecasting, engagement, and enablement in a single platform rather than requiring multiple point solutions
- ✓Strong CRM integration ecosystem—natively connects with Salesforce, HubSpot, Zoom, Teams, and 100+ other tools via Gong Collective, reducing manual data entry significantly
- âś“Reality-Based Forecasting replaces subjective rep assessments with projections grounded in actual buyer engagement signals, reportedly reducing forecast variance by up to 50%
- ✓Proven enterprise scale with 5,000+ customers including Fortune 10 companies like ADP, LinkedIn, HubSpot, and Uber for Business—Uber reported saving 6,700 hours and lifting buyer response rates 2.4x
- âś“Enterprise-grade security with SOC 2 Type II certification, GDPR compliance, configurable data residency (US/EU), and industry-specific compliance for financial services and healthcare
Cons
- ✗No public pricing—all plans require custom quotes and typically involve annual contracts with minimum seat commitments, making cost evaluation difficult before engaging sales
- âś—Primarily designed for mid-market and enterprise B2B sales teams; smaller teams under 10 reps or non-sales use cases may find the platform overbuilt and expensive relative to lighter alternatives like Fireflies.ai
- âś—Conversation recording and analysis depends on participants joining supported platforms (Zoom, Teams, Webex), limiting coverage for in-person meetings or non-integrated communication channels
- âś—Initial setup and CRM integration can be complex and time-consuming, often requiring dedicated admin resources or professional services engagement
- ✗AI-generated insights and deal risk scores require a meaningful volume of recorded interactions to become accurate—teams should expect a 1-2 quarter ramp-up period before seeing full analytical value
Shilo - Pros & Cons
Pros
- âś“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
- âś“Real-time AI coaching during calls provides agents with contextual suggestions and objection-handling prompts without leaving the conversation
- âś“Manager dashboard provides granular visibility into team performance, coaching adherence metrics, and training opportunity identification
- âś“Integrates with real estate CRMs and existing telephony stacks rather than requiring agents to switch platforms
- âś“AI suggestions improve over time by learning from a team's own successful calls, tailoring to specific markets and property types
- âś“Objection library covers over 200 common real estate objections with AI-generated rebuttals tuned to property-specific vocabulary
Cons
- ✗Pricing is not publicly listed and requires contacting sales, making quick budget comparisons difficult—refer to comparable platforms like Gong ($100–$150/user/month) for general market context
- âś—Relatively new entrant in the market with limited long-term performance data across diverse economic conditions
- âś—Vendor-published performance claims have not been independently verified by third-party audits as of early 2026
- âś—Focused narrowly on call coaching, so teams still need separate tools for lead generation, marketing automation, and transaction management
- âś—Effectiveness may vary significantly across different real estate markets, property types, and buyer demographics, requiring a pilot period to validate
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