Zia vs Shilo
Detailed side-by-side comparison to help you choose the right tool
Zia
Business
Zoho's advanced AI assistant with conversational capabilities, purpose-built AI agents, and AI skills integrated throughout the Zoho business ecosystem to boost productivity and automate processes.
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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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CustomFeature Comparison
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Zia - Pros & Cons
Pros
- ✓Included with Zoho One and most Zoho app subscriptions at no extra per-seat cost, unlike Salesforce Einstein add-ons that often run $50+/user/month
- ✓Deeply embedded across 45+ Zoho applications including CRM, Desk, Books, People, and Analytics
- ✓Zia Agent Studio lets non-developers build custom AI agents tailored to specific business processes
- ✓Strong predictive features for sales (deal win probability, lead scoring) backed by Zoho's CRM data
- ✓Multilingual support and voice-driven interactions usable on mobile and desktop
- ✓Privacy-conscious design with data residency options across multiple regions
Cons
- ✗Almost entirely useless outside the Zoho ecosystem — minimal value for non-Zoho stacks
- ✗Generative writing quality lags behind dedicated tools like ChatGPT, Claude, and Gemini
- ✗Some advanced features (Zia Voice, certain agents) require higher-tier Zoho plans
- ✗Documentation and tutorials are uneven, especially for the newer Agent Studio
- ✗Custom model training and ML workflows are less flexible than enterprise platforms like Einstein or Copilot Studio
Shilo - Pros & Cons
Pros
- ✓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
- ✓Real-time AI coaching during calls provides agents with contextual suggestions and objection-handling prompts without leaving the conversation
- ✓Manager dashboard provides granular visibility into team performance, coaching adherence metrics, and training opportunity identification
- ✓Integrates with real estate CRMs and existing telephony stacks rather than requiring agents to switch platforms
- ✓AI suggestions improve over time by learning from a team's own successful calls, tailoring to specific markets and property types
- ✓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
- ✗Relatively new entrant in the market with limited long-term performance data across diverse economic conditions
- ✗Vendor-published performance claims have not been independently verified by third-party audits as of early 2026
- ✗Focused narrowly on call coaching, so teams still need separate tools for lead generation, marketing automation, and transaction management
- ✗Effectiveness may vary significantly across different real estate markets, property types, and buyer demographics, requiring a pilot period to validate
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