Changelog

Invite your team

You can now invite team members to your organization by email. Invitees receive a branded email with a one-click link to join. If they don't have an account yet, the sign-up flow is streamlined — their email is pre-filled and onboarding is skipped entirely.

Roles and permissions

Every organization member has a role: Owner, Admin, or Member. Owners and admins can invite and remove members, manage workspaces, and configure settings. Members have view-only access to workspaces and conversations. You can change roles at any time from the Settings page.

Organization settings in the sidebar

The new Settings page in the sidebar gives you quick access to team management, organization renaming, and member administration — all in one place.

Light, dark, and auto color schemes

The chat widget now supports three color scheme modes: Light, Dark, and Auto. Light and Dark lock the widget to that theme. Auto follows your visitor's system preference, so the widget feels native on any device. You can set the mode in Appearance > Color Scheme in the dashboard.

Edit light and dark palettes separately

The theme editor now lets you switch between editing the light and dark palettes independently. Both are saved, and the color scheme setting above controls which one your visitors see.

Smarter question routing

Your visitors' questions now get answered directly more often. Previously, some factual questions would skip the content pipeline and jump straight to a live agent offer. Now the assistant tries to answer first, and only suggests a live agent when someone actually asks for one.

More honest answers after declining a live agent

When a visitor is offered a live agent and chooses to continue with AI instead, the assistant now smoothly hands back control without trying to answer the original question on the spot. This prevents situations where the assistant would guess at an answer it didn't have the information for.

A more personal, conversational tone

The assistant now speaks in first person — "I can help you find..." instead of "We offer..." — making conversations feel more like chatting with a helpful person than a company FAQ.

Better greeting responses

When visitors ask what the assistant can help with, it now describes your actual site content instead of listing generic capabilities. The response stays grounded in what your site covers, so visitors get useful guidance from the start.

Faster answers in chat

Chat responses now feel quicker and more natural, especially when a question includes multiple parts.

Clearer, more focused responses

We improved how responses stay focused on what the user asked, reducing off-topic replies and making multi-part conversations easier to follow.

New welcome popover for the floating widget

The chat widget now supports a configurable welcome popover near the trigger button. You can choose whether it is enabled, set the message, control the display delay, and decide whether it appears once per session.

Smoother chat experience

We also polished typing and scrolling behavior in the widget to make conversations feel smoother overall.

Horizontal product card layout

Product cards now support a horizontal (compact row) layout in addition to the existing vertical style. The horizontal layout shows the image, title, price, and category side-by-side, making better use of space in the chat widget. You can switch between layouts in the admin under Content Cards > Product Cards > Card Style.

Separate product and post card settings

Image display and aspect ratio settings are now configured independently for product cards and post cards. This gives you full control over how each card type looks without one affecting the other.

Content gap analytics

The Conversations dashboard now includes a Content Gaps section that surfaces queries where your chatbot couldn't find relevant content. Use these insights to identify content creation opportunities and improve coverage over time.

Feedback summary improvements

The Feedback Summary and Content Gaps cards now show a helpful empty state when there's no data yet, instead of being hidden entirely. This makes it easier to discover these features and understand what they track.