Quickchat AI

Quickchat AI is a business platform for building AI agents that can answer questions and take actions across customer conversations. It best suits teams that need multilingual agents tied to business workflows; the key trade-off is matching credit limits and plan features to expected usage.

Overview

Teams can configure an agent’s personality and tone, supply reference material, and deploy it through website chat or connected services. Meeting booking, lead qualification, CRM sync, and human handoff make it relevant to sales and support workflows, not just automated answers. Compare it with Sales Chatbot Software and Chatbot Builders.

Key features

• Knowledge sources: Agents can draw on text, websites, uploaded files, Shopify, Intercom articles, and YouTube videos. This flexibility suits teams with product and support material spread across formats, while article caps still constrain how much a plan can accommodate.
• Multilingual replies and configurable voice: Agents automatically understand and reply in multiple languages, and teams can set personality and tone. That combination is useful for businesses serving customers across language markets with a consistent brand voice.
• Actions and handoff: Agents can gather data, call HTTP APIs, connect MCP servers, log data to Google Sheets, and pass conversations to a human. These options can connect a conversation to operational work, though REST API access is a Business-plan feature.
• Channels and deployment: Integrations include Discord, Drupal, Facebook Messenger, HubSpot, Instagram, Intercom, Shopify, Slack, Telegram, WhatsApp, WordPress, and Zendesk. Website options include a customizable chat widget, an iFrame embed, and a chat page, giving teams several ways to place an agent.
• Conversation analytics: Sentiment analysis, CSAT ratings, outcome and topic analysis, alerts, and AI Insights can help teams review conversations and identify patterns.
• Data and security: Quickchat AI says customer content is not used to train LLMs and customer environments are logically isolated. Customer data is stored on Google Cloud Platform infrastructure in Belgium, encrypted in transit and at rest. The company says it complies with GDPR and is pursuing SOC 2 compliance.

Pricing

The free plan costs nothing and provides 50 AI credits per month, one user license, 50 knowledge base articles, and personal, non-commercial use. It is suitable for a small evaluation, but the commercial-use restriction and low monthly allowance rule it out for a business-facing deployment.

Starter costs $9 a month, billed $9/month, and raises the allowance to 150 AI credits per month with 100 Knowledge Base articles and commercial use. It is the entry point for a modest commercial agent, but the credit ceiling leaves little room for heavier conversation volume. Basic costs $29 a month, billed $29/month, for 500 AI credits and 300 Knowledge Base articles; Essential costs $99 a month, billed $99/month, for 3,000 credits and 500 articles. Those steps increase capacity, but neither adds published seats or the higher-tier capabilities in the plan details.

Professional costs $299 a month, billed $299/month, and includes three user licenses, 9,000 AI credits, 1,000 Knowledge Base articles, and removal of Quickchat AI branding. It fits teams that need multiple users and a branded customer experience. Business costs $999 a month, billed $999/month, with ten user licenses, 30,000 credits, 2,000 articles, API access, and conversation export. Its higher allowance and API access suit larger or more integrated deployments, at a substantial monthly cost.

Enterprise has custom pricing and starts from 2,000 resolutions per month, with custom user licenses, custom AI actions and knowledge base sources, a dedicated account manager, and priority support. It is for organizations that need tailored capacity or support. On every plan, an agent stops generating replies when its AI credits run out, until the allowance resets or the account upgrades, so usage limits have direct service implications.

Platforms

Quickchat AI supports API, self-hosted, and web platforms. Website deployment can use a customizable widget, an iFrame embed, or a chat page.

Who it's for

Quickchat AI is a strong fit for businesses that want multilingual customer conversations grounded in varied knowledge sources and connected to sales or support workflows. Teams should compare their expected activity with the plan’s credit and article limits before choosing. It is less suitable for non-commercial users who need more than the free allowance, or for teams that require REST API access below Business.

Pros and cons

• Pro: Broad knowledge-source support, including Shopify, Intercom articles, and YouTube, gives teams flexibility in the material they bring into an agent.
• Pro: Human handoff, data gathering, API calls, MCP connections, and Google Sheets logging support conversations that need to trigger follow-up work.
• Pro: Multiple languages, tone controls, and a choice of website deployment options support varied customer-facing experiences.
• Con: Reply generation stops at the credit limit, making the monthly allowance a service-capacity constraint rather than just a billing detail.
• Con: The free plan is limited to personal, non-commercial use, while REST API access appears at the $999/month Business tier.
• Con: Multi-user access is explicit only on Professional and Business; teams needing several licenses face a high monthly entry point for those published seat counts.

Alternatives

• Chatbase is another freemium option with a free trial and Android, iOS, API, and web platforms; consider it if mobile platforms are important.
• Cleo AI Sales Agent has a free plan and supports API, macOS, web, and Windows; it is an alternative for readers prioritizing those platforms.
• ConnectLoop LIA offers a free plan with 200 messages and one agent per workspace, making it a possible fit for a small initial deployment.
• Tars has a free plan with 50 conversations per month, basic LLM models, and training limited to five Knowledge Bases; consider it for a small-volume trial.
• FullContext has a free plan with 100 credits per month, one agent, five resources, and 20 webpages; it may suit readers comparing a resource-capped free option.
• Gimiq offers a free plan for up to three agents and 250 tickets per month, with email and live chat widgets; consider it if those published free-plan limits fit.
• Landbot has a free plan with 100 chats per month and one seat, and supports web; it is an alternative for a web deployment with that cap.
• Manychat has a free plan capped at 25 Active Contacts per month, two channels, four active automations, and one user; consider it if those limits match the intended use.

Verdict

Choose Quickchat AI if your business needs multilingual agents that can use varied knowledge sources, connect to workflows, and hand conversations to people. Its strongest case is the breadth of those conversation and integration capabilities; its main drawback is that credits can halt replies, while API access and multi-user capacity require higher-priced plans. Teams with modest needs should start by checking whether Starter’s 150 monthly credits are enough for their expected activity.