GPTBots

What is GPTBots?

GPTBots is a no-code enterprise platform for building AI agents and workflows that answer customers, query data and automate business tasks. It targets companies rather than individual hobbyists.

You create an agent by choosing a language model, writing its instructions, attaching a knowledge base and adding tools. The agent can then be published to messaging channels such as WhatsApp, Slack and Telegram, or embedded on a website. A workflow builder handles longer, multi-step automations, and an API lets developers call agents from their own software.

The about page links GPTBots to Aurora Mobile, a company listed on Nasdaq under the ticker JG and founded in 2011. Its main office is in Hong Kong Science Park, with further offices listed in Singapore, Shanghai, Malaysia and Japan. The homepage claims more than 1,000 global brands as users, though it names few customers publicly.

Key Features

Agents, workflows and a shared knowledge base form the core of GPTBots, with multi-model switching and channel publishing turning them into deployable business tools.

• No-code agent builder: Teams assemble AI agents through a visual interface instead of writing code. Each agent combines a chosen language model, a prompt, tools and a knowledge source, so business staff can prototype without waiting for developers.
• Workflow builder: A separate builder chains AI steps, conditions and tool calls into automated workflows. This suits multi-step jobs such as triaging a request, looking up data and drafting a reply in one run.
• Knowledge base: You upload company documents so agents answer from your own material rather than general training data. Retrieval uses embedding and optional reranking, and stored vectors are billed in credits per day.
• Multi-model switching: The model list covers 13 providers, including OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek and several Chinese vendors. You can swap models per agent to balance answer quality against credit cost.
• Omnichannel deployment: Finished agents can be published to WhatsApp, Telegram, Facebook Messenger, Discord, Slack or a website iFrame. One agent can therefore serve customers in several places from a single configuration.
• Text2SQL and multi-agent teams: Directories describe Text2SQL, which lets staff query databases in plain language, alongside multi-agent teams that split work between specialised agents. Both target analytics and internal operations rather than simple FAQ bots.

Pros

Security credentials and a private hosting option give GPTBots an edge with regulated organisations that cannot send all data to a shared cloud.

• Enterprise security credentials: GPTBots lists ISO 27001, ISO 27701 and SOC 2 Type II certifications. Procurement and security teams get recognised evidence to review instead of relying only on vendor promises.
• Private deployment option: Enterprise customers can host the platform privately for tighter control over data and performance. Banks, government bodies and other regulated organisations gain a route that pure SaaS chatbot builders lack.
• Wide model choice: Support for 13 model providers avoids lock-in to one vendor. Teams can move an agent to a cheaper or stronger model as prices and quality change over time.
• Strong channel coverage: Native publishing to messaging apps, Slack, Discord and websites removes much custom integration work. Customer service teams can reach users on the channels they already use.
• Free plan for testing: Every account receives 100 free credits a month to build and trial agents. Teams can test a proof of concept before talking to sales about a paid plan.

Cons

Pricing clarity is the weak point, because the Business plan price is missing from the official pages and credit spending varies with every model call.

• Opaque paid pricing: The official subscription page describes a Business plan but does not show its price, and directories quote figures from $134 to $720 a month. Budget holders must contact sales to get a firm number.
• Credit costs are hard to forecast: Every model call, embedding, stored vector and speech request consumes credits at different rates. Monthly spend can swing with traffic and model choice, so set usage alerts early.
• Small free allowance: One hundred credits equals about one US dollar of usage, and free accounts face a low request rate limit. That is enough to explore features but not to run a live bot.
• Learning curve: Agents, workflows, knowledge settings and model choices give many options to configure. Small teams wanting a simple website FAQ bot may find lighter tools quicker to launch.
• Credits are non-refundable: The documentation states that purchased credits cannot be refunded or exchanged. Top-ups last one year, so buy in modest amounts until usage patterns are clear.

Who is Using GPTBots?

Mid-sized and large organisations make up most of the user base, especially in banking, government, airlines, energy and online services, according to the company.

• Customer service teams: Support leaders deploy agents on WhatsApp and web chat. They answer routine questions from a knowledge base and hand complex cases to staff.
• Regulated enterprises: Banks, securities firms and government bodies are named as target industries. They value the certifications and the private deployment option.
• Data and operations teams: Analysts use Text2SQL style agents to query internal data in plain language. Operations staff automate multi-step processes with workflows.
• Marketing and sales teams: Commercial teams run agents for lead qualification and campaign questions. Multichannel publishing lets them reach prospects on social messaging apps.

Pricing

GPTBots combines a free plan of 100 monthly credits with a sales-led Business plan and custom Enterprise contracts (official documentation, October 2026).

Directory figures disagree: one lists the Business plan at $649 a month with two months free on annual billing, while a competitor’s review lists Starter at $134 and Pro at $720 a month.

Disclaimer: none of these monthly figures appears on the GPTBots site, so ask sales for a written quote that includes expected credit usage.

What Makes GPTBots Unique?

Private deployment backed by ISO 27001, ISO 27701 and SOC 2 Type II certifications separates GPTBots from most no-code chatbot builders. Many rivals run only as shared cloud services, which rules them out for banks or public bodies with strict data residency rules.

Model breadth is the other differentiator. Few Western builders offer Chinese providers such as Alibaba, Baidu, Tencent, Moonshot and Zhipu alongside OpenAI, Anthropic and Google. That mix matters for companies serving customers across Asia, where local models may handle language or regulation better.

Compatibilities and Integrations

Messaging channels are where GPTBots agents usually live, with WhatsApp, Telegram, Messenger, Discord, Slack and website embeds all listed on the homepage.

• Channels: Agents publish to WhatsApp, Telegram, Facebook Messenger, Discord, Slack and an iFrame widget for websites.
• Business apps: The homepage lists connections with Google Drive, Notion, Microsoft Word, Excel, PowerPoint and OneDrive, Gmail, Dropbox, Canva, Google Analytics and Zapier.
• Models: The model list covers OpenAI, Anthropic, Google, Meta, Azure, Alibaba, Baidu, Tencent, Mistral, DeepSeek, Moonshot, Zhipu and SenseTime.
• API: A documented API reference lets developers call agents and manage conversations from their own applications.
• Deployment: Standard cloud hosting suits most teams, while Enterprise customers can choose private hosting.

GPTBots Tutorials

A first working agent takes six steps, starting from the free plan and a small set of trusted documents.

1. Sign up for a free account and open the agent builder.
2. Pick a language model, keeping credit cost per 1,000 tokens in mind.
3. Write clear instructions describing the agent’s role, tone and limits.
4. Upload a small, accurate knowledge base and test retrieval with real questions.
5. Add tools or a workflow if the agent must look up data or take actions.
6. Publish to one channel, such as a website iFrame, and review conversation logs before expanding.

How We Rated It

Security, model choice and channel reach lift GPTBots to 3.9 out of 5, while hidden Business pricing and unpredictable credit spend hold it back.

Summary

GPTBots suits mid-sized and large organisations that need no-code AI agents on messaging channels with recognised security certifications and an option for private hosting. Its main limitation is cost visibility, since the Business plan price is not published and every action draws on a shared credit balance. Smaller teams wanting a simple website chatbot may find it more than they need. We rate it highly for features and integrations but lower for cost-efficiency. Before signing, run a pilot on the free credits, record how many credits a typical conversation uses, and take that figure into the sales discussion.