Top 7 Alternatives to LiveChat for Real Estate Agencies

LiveChat is a widely adopted customer‑service platform that offers a comprehensive chat widget for real‑estate websites. Its real‑time messaging, ticketing, and chat routing capabilities make it a reliable choice for agencies that need to manage multiple conversations simultaneously. LiveChat’s integration ecosystem includes a broad range of third‑party apps, such as Salesforce, Zendesk, and Shopify, allowing agencies to pull property listings and customer data directly into the chat interface. The platform also provides a knowledge base feature, enabling agents to create self‑service articles that visitors can search while chatting. While LiveChat excels at providing a stable, well‑documented chat experience, it is primarily a traditional live‑chat solution and does not offer advanced AI or retrieval‑augmented generation out of the box. Real‑estate teams can, however, use LiveChat in combination with third‑party AI plugins to add conversational intelligence. LiveChat’s pricing is tiered, typically starting around $16 per agent per month, with additional costs for advanced features like AI chatbots and integrations. For agencies that value a proven, enterprise‑grade chat system and are comfortable integrating AI separately, LiveChat remains a solid option.

BoldDesk offers a suite of AI‑powered tools including AI Agents, AI Copilot, and AI Actions designed to streamline business operations. While BoldDesk’s primary focus is on automating customer support and internal workflows, its AI Agents can be tailored to handle property inquiries and lead generation for real‑estate agencies. The platform’s modular prompt engineering allows agents to be configured with specific goals and tone preferences, which can be useful for maintaining a consistent brand voice across chats. BoldDesk also provides AI Actions that can trigger external workflows, such as sending follow‑up emails or updating a CRM, which can be useful for real‑estate teams that need to track leads and interactions. Because BoldDesk is a relatively new entrant, its pricing and integration depth are still evolving; agencies are encouraged to contact the sales team for a customized quote. BoldDesk’s strength lies in its flexible AI architecture and ability to combine customer support with business process automation.

Social Intents provides a multi‑channel AI chatbot solution that can be embedded in websites, Microsoft Teams, Slack, and even WhatsApp. For real‑estate agencies, the platform’s ability to operate across various communication channels means that potential buyers can engage via their preferred medium. Social Intents offers a live‑chat widget that can be fully customized, and its AI chatbot can be trained on a company’s own content, allowing agents to answer property listings, pricing, and availability questions. The platform also supports integration with external CRMs via webhooks, enabling seamless lead capture and follow‑up. Moreover, Social Intents offers a knowledge base feature that can be linked to the chatbot for self‑service content. While the platform is highly versatile, its pricing model requires direct contact with the sales team, and some advanced features such as AI course building are not available. Nonetheless, Social Intents remains a strong choice for agencies looking for a flexible, channel‑agnostic chat solution.

Eesel.ai offers a suite of AI products designed to automate frontline support, draft replies, and provide instant answers for internal teams. For real‑estate agencies, the AI Chatbot product can be embedded on a website to handle property inquiries, schedule showings, and capture contact details. Eesel.ai’s AI Actions can trigger automated workflows such as sending follow‑up emails or updating a CRM, which is valuable for tracking leads. The platform also supports integration with popular e‑commerce and SaaS tools like Shopify, Zendesk, and Slack, giving agencies flexibility in how they connect their existing systems. While Eesel.ai’s AI chatbot is versatile, it does not offer a built‑in knowledge‑graph or advanced retrieval‑augmented generation, and the platform’s pricing is not publicly listed, requiring potential users to contact sales for a custom quote. Eesel.ai is best suited for agencies that already have a CRM in place and want to add AI‑powered chat support.

Real Estate AI, featuring the chatbot “Madison,” focuses on converting website visitors into leads by providing instant answers to property questions and facilitating lead capture. The platform is built specifically for real‑estate agencies and integrates with major listing services to pull property data in real time. Madison can be embedded on a website or used within a mobile app, and it offers a secure, password‑protected portal for clients to view listings and schedule showings. While the platform does not currently provide a public pricing structure, agencies can request a quote tailored to their expected traffic and feature needs. Real Estate AI’s strengths lie in its niche focus and the ability to provide a conversational experience that feels like talking to a human agent. However, the platform’s feature set is relatively narrow, lacking advanced AI customization or knowledge‑graph integration.

Lindy.ai offers an AI platform that enables businesses to build and deploy AI assistants across various industries, including real estate. The platform provides a drag‑and‑drop app builder, templates, and integrations with popular SaaS tools, allowing agencies to create chatbots that answer property questions, schedule appointments, and manage leads. Lindy.ai’s AI workflows can be configured to trigger external actions such as sending emails or updating a CRM, which helps automate follow‑ups. While the platform does not specifically target real‑estate, its flexible architecture and customizable templates make it possible to tailor a chatbot for property listings. Pricing details are not publicly disclosed, and agencies must contact sales for a custom quote. Lindy.ai’s strengths include its low‑code builder and extensive integration options, but it lacks built‑in knowledge‑graph support and real‑estate‑specific content libraries.