Select the “Lindy Embed” trigger in the flow editor. Click Configure Embed Settings.
You’ll see several options to customize your chatbot:Domain Name: Restrict where your Lindy can be embedded. Leave it empty to use on any domain, or enter a specific domain like “yourcompany.com”.Display Name: Set the name of your bot as it will appear to users. For example, “Technical Interview Assistant” or “Customer Survey Bot”.Accent Color: Choose a color that matches your brand for the top of the chatbot window.Popup or iFrame: Decide between a floating popup chatbot or a fixed iFrame embedded directly in your page.Logo: Upload your company or project logo to appear in the top left of the expanded chatbot.Icon: Select an icon for your chatbot’s collapsed bubble.Greeting Message: The introductory message the user sees when they start a chat.Conversation Starters: Customize messages next to your bot to prompt engagement.Callout message: Create a prompt to encourage users to interact with your chatbot.
Select the “Lindy Embed” trigger in the flow editor. Click Configure Embed Settings.Ensure you have the popup tab selected and copy the “Code Snippet” to your clipboard.
Paste the code snippet into your website’s header.We offer instructions on how to do so for the most popular platforms:
You can also embed Lindy as an iFrame.On the Configure Embed Settings modal, select the iFrame tab and copy the code snippet to your clipboard. You can then paste this code anywhere your website builder accepts iFrames.
When embedding Lindy as an iFrame, it is important to set the height on the element containing the Embed iFrame.You can also change the height property of the iFrame itself to a specific pixel value (e.g., 100px, 500px) instead of using “100%”.
When using iFrame embedding, ensure your container element has a defined height. The iFrame will inherit the height of its container, so setting this correctly is crucial for proper display.
Use the “Click here to preview your Lindy Embed and start a test conversation” link in the configuration panel to test your chatbot in a realistic environment. This allows you to: