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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CustomShilo
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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CustomFeature Comparison
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π‘ 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 $100β$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
- βIndustry-leading conversation intelligence with highly accurate transcription, speaker separation, and topic/keyword tracking across multiple languages and meeting platforms
- βDeep deal and pipeline intelligence that ties conversation signals (competitor mentions, risk language, stakeholder engagement) directly to forecast and CRM data for objective deal inspection
- βStrong coaching workflows with searchable call libraries, scorecards, and the ability to share specific call moments, making it valuable for sales enablement and onboarding ramp
- βSpecialized AI agents and automation that handle CRM updates, follow-up email drafts, call briefs, and next-best-actions, reducing the administrative burden on reps
- βMature ecosystem with 5,000+ customers and integrations across Salesforce, HubSpot, Zoom, Teams, Google Meet, Slack, and major sales engagement tools
- βRobust analytics for revenue leaders, including market and competitive intelligence aggregated across all recorded conversations in the org
Cons
- βEnterprise-only pricing with no public tiers and a platform fee plus per-seat model that is significantly more expensive than lightweight meeting recorders
- βImplementation and adoption require meaningful change management β reps must consent to recording, and managers must build coaching habits for the platform to pay back
- βFeature 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
- βCRM and forecasting modules, while improving, still face strong competition from purpose-built tools like Clari and may require trade-offs vs. existing RevOps stacks
- βRecording-heavy workflows raise privacy, consent, and data residency considerations that must be navigated carefully in regulated industries and certain regions
Shilo - Pros & Cons
Pros
- βSpecialized 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
- βReal-time AI coaching during calls provides agents with contextual suggestions and objection-handling prompts without leaving the conversation
- βManager dashboard provides granular visibility into team performance, coaching adherence metrics, and training opportunity identification
- βIntegrates with real estate CRMs and existing telephony stacks rather than requiring agents to switch platforms
- βAI suggestions improve over time by learning from a team's own successful calls, tailoring to specific markets and property types
- βObjection library covers over 200 common real estate objections with AI-generated rebuttals tuned to property-specific vocabulary
Cons
- βPricing is not publicly listed and requires contacting sales, making quick budget comparisons difficultβrefer to comparable platforms like Gong ($100β$150/user/month) for general market context
- βRelatively new entrant in the market with limited long-term performance data across diverse economic conditions
- βVendor-published performance claims have not been independently verified by third-party audits as of early 2026
- βFocused narrowly on call coaching, so teams still need separate tools for lead generation, marketing automation, and transaction management
- βEffectiveness may vary significantly across different real estate markets, property types, and buyer demographics, requiring a pilot period to validate
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