Chatbot.com Code Promo

ChatBot is a no-code AI chatbot platform developed by Text, the same company behind LiveChat, HelpDesk, and KnowledgeBase. Founded in 2013 and based in Poland, the Text ecosystem serves over 35,000 businesses worldwide. ChatBot specifically addresses a concrete operational problem: most businesses need automated customer conversations running 24/7, but building a chatbot traditionally requires engineering resources that small and mid-market teams do not have. The platform resolves this by offering a visual flow builder combined with an AI layer trained on the company's own knowledge, so a non-technical operator can deploy a working chatbot in hours.

A critical technical distinction sets ChatBot apart from a growing segment of competitors: it does not rely on third-party AI providers such as OpenAI, Google, or Microsoft. It operates on its own proprietary technology stack. This design choice means that responses are deterministic and controllable rather than unpredictably generative, which matters greatly for regulated industries or any business that cannot afford a chatbot giving incorrect, off-brand, or hallucinated answers. Every response the bot delivers traces back to a defined knowledge source or flow, not a probabilistic language model.

• The Visual Flow Builder: is the core interface for building chatbot conversations. Using drag-and-drop, operators design conversation paths as sequences of elements: text messages, user input requests, conditional branches, data collection questions, actions, and integrations. The builder supports A/B testing to compare which conversation paths perform best, and version control allows any earlier version of a flow to be previewed or restored. A test mode lets the entire bot be validated directly in the builder before going live. One acknowledged limitation is that the builder does not offer a single overview of all flows simultaneously, which can make navigation complex for large, multi-flow bots.

• AI Training and Custom Skills: allow the chatbot to go beyond predefined scripts. Operators feed the AI knowledge sources, including help articles, internal documents, URLs, and PDF files (up to 50 MB per file), and the AI Assist block uses this knowledge base to handle questions that fall outside scripted flows. Custom Skills let operators define how the AI agent should behave in specific situations: triggers based on user intent, the page a visitor is on, their geographic location, language, or time of day. Up to 10 custom skills can be configured per AI agent. Custom instructions set the agent's role, tone of voice, response length, and supported languages, so every reply sounds consistent with the brand.

• The AI Agent: is the intelligent layer above the flow builder. It tracks past chats, pulls in customer details such as names, emails, and purchase history, uses website behavior signals (visited pages, time on site), and draws on connected integrations to respond with context rather than generic answers. Each AI agent operates within a specific team and has its own independent knowledge base configuration. The agent can handle multi-turn conversations with full awareness of prior exchanges, and it escalates to a human agent through the built-in live chat when the situation falls outside its scope.

• Live Chat, Shared Inbox, and Help Desk Ticketing: are included in every plan as part of the Text platform integration. The chatbot does not operate in isolation: it sits at the top of a unified support stack. When a customer needs a human, the transition is native, with the full conversation history passed to the agent. A shared inbox consolidates all incoming chats and tickets in a single workspace. The AI Copilot assists human agents with reply suggestions, chat summaries, and ticket summaries, reducing handle time without requiring a separate AI subscription. Tag suggestions and canned responses with AI-based relevance scoring speed up agent responses at scale.

• Deployment Channels: include the website chat widget, Facebook Messenger, Shopify, Slack, and WordPress. The chat widget is fully customizable: logo, brand colors, 48 available languages for the widget interface, and multilingual agent groups. Proactive chat greetings can be configured to trigger based on the page visited, time spent on site, or whether the visitor is returning, converting passive visits into active conversations.

• Workflows and Campaigns: automate actions beyond individual conversations. Workflows chain conditional logic, integrations, and messaging into multi-step processes. Campaigns allow targeted proactive messages to be delivered to segments of live visitors. Live visitor tracking monitors who is currently on the website in real time, with the tracked visitor volume varying by plan.

• Integrations: connect ChatBot to Zapier, HubSpot, Salesforce, Shopify, WooCommerce, BigCommerce, Slack, WordPress, and an open API for custom implementations. An MCP server is available on all plans.

• The proprietary AI stack is a genuine differentiator for businesses that need reliable, predictable answers: Most modern chatbot platforms delegate their language understanding to OpenAI or similar providers. This creates a fundamental tension: generative AI is powerful but unpredictable, and businesses in finance, healthcare, e-commerce, or any regulated sector cannot accept a chatbot that occasionally fabricates answers or drifts off-brand. ChatBot's decision to run its own stack means every response either comes from a defined flow or from verified knowledge sources. The tradeoff is a ceiling on creative language generation, but for support and sales automation, the ceiling matters far less than the floor: zero tolerance for wrong answers.

• The integration with the broader Text ecosystem eliminates the tool fragmentation that plagued older chatbot setups: For years, companies buying a standalone chatbot product still needed a separate live chat tool, a separate ticketing system, and a separate knowledge base. ChatBot by Text collapses all of these into one platform, with one login, one billing relationship, and native handoff between layers. An AI agent handles the first wave of conversations, escalates to a human agent when needed, creates a ticket if unresolved, and logs everything in a shared inbox. Wembley Stadium reported adding $1.5 million in revenue over six months using this stack, and Funded Trading Plus reached a 93% customer satisfaction rate while cutting team workload by 18%. These are outcome-based results, not dashboard metrics.

• The no-code flow builder genuinely lowers the barrier for non-technical teams: Many platforms marketed as no-code still require a technical operator to configure integrations, manage webhooks, or write conditional logic in JSON. ChatBot's visual builder handles all of this graphically. An operations manager or a customer support lead can design, test, and publish a complete chatbot flow without involving a developer. The test mode is available directly inside the builder, so validation happens before deployment rather than after a live incident.

• Version control is a professional-grade feature that most small chatbot platforms omit: The ability to preview and restore any earlier version of a chatbot flow is not cosmetic. Organizations that iterate on their bots regularly need to roll back changes when an update breaks something, or to audit what a bot was saying at a specific point in time. This is particularly relevant in regulated contexts. The fact that this feature is available across all plans, not just Enterprise, is a practical advantage over cheaper competitors that treat versioning as a premium add-on.

• The platform's channel coverage is narrow compared to competitors focused on social commerce: ChatBot deploys on website widget, Facebook Messenger, Shopify, Slack, and WordPress. It does not support WhatsApp, Instagram Direct, Telegram, or SMS natively. For businesses whose customer conversations primarily happen on messaging apps, particularly in markets where WhatsApp dominates, this is a fundamental gap. Tools like Tidio, Manychat, or Intercom cover significantly more channels at comparable price points.

• The absence of a flow overview panel creates practical friction when managing complex bots: The visual builder displays and edits one flow at a time, with no bird's-eye view of how multiple flows connect. For a simple support bot with three or four flows, this is a minor inconvenience. For a large e-commerce bot covering product discovery, order tracking, returns, account management, and promotional campaigns across multiple languages, the lack of a global flow map makes maintenance considerably harder. Multiple reviewers have flagged this as a real day-to-day pain point.

• The AI resolution cap model creates unpredictable cost exposure for businesses with variable chat volumes: The Essential plan includes 10 AI resolutions per month, and the Growth plan includes 200. When these limits are exceeded, additional packages of 50 resolutions are automatically charged at $49.50 each. For a business running a seasonal promotion, a product launch, or any event that spikes inbound volume, costs can escalate significantly without prior approval. The automatic refill mechanism protects against service interruption but removes budget control. Teams with highly variable chat volumes should model worst-case monthly overage costs carefully before committing to a plan.

• The older standalone ChatBot pricing (starting at $52/month for 1,000 chats) still appears in many third-party reviews and comparison articles, which creates confusion: The product has migrated to Text platform pricing, structured by user and AI resolutions rather than chat volume. Prospective buyers researching the tool from external sources will encounter outdated pricing information that no longer reflects what they will actually pay. The actual current pricing is lower at entry level ($19/user/month annually) but carries the AI resolution cap mechanics described above.

ChatBot is now commercially sold as part of the Text platform, under the "ChatBot by Text" branding.

Pricing is per user per month and includes the full support stack: AI agent, live chat, shared inbox, help desk ticketing, and workflows. All plans include a 14-day free trial with no credit card required. Annual billing saves up to 24% compared to monthly billing. Overages are billed automatically at $49.50 per additional 50 AI resolutions when monthly limits are exceeded.

Overage: $49.50 per 50 additional AI resolutions, automatically charged when the monthly limit is reached. Annual billing saves up to 24% versus monthly billing.