Free
$0Free plan available.
ConnectGPT is an AI assistant platform designed to streamline customer support. It provides 24/7 AI-driven assistance to help increase sales, resolve customer inquiries, and improve overall satisfaction. Users can select from leading AI models, customize the assistant's personality, train it using their own data, and access advanced features at an accessible price point.
Join the waitlist on the ConnectGPT website to request early access. Once access is granted, you can integrate the AI assistant into your website using a simple copy-paste method. From there, you can train the bot with your specific data and customize its personality and intent.
ConnectGPT enables you to use your own API keys, allowing you to pay OpenAI directly for usage. It also provides a selection of AI models and white-labeling options within the basic plan—features that are often restricted to premium tiers in other services.
Yes, you can train ConnectGPT using your website content, FAQs, subscription details, brochures, text files, and past conversations. ConnectGPT also provides support to help you train the bot with your data.
Yes, ConnectGPT provides a straightforward copy-paste method for simple website integration.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to ConnectGPT.
Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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