How to Set Up the Spark Web Widget (Plus Content Gap Analytics to Improve Answers)

If you want a chatbot on your website, Spark’s web widget is designed to be straightforward: users click emojis, and the chat interface opens. The setup also includes analytics that help you improve what the agent can answer over time.

In this guide, you’ll learn how to configure the Spark web widget (including clickable questions and appearance), how to add the embed snippet to your site with domain permissions, and how Spark’s “content gap” and question extraction analytics work.

Spark Web Widget Overview: How Users Open the Chat

The Spark web widget is a web-based entry point to your chatbot. On your website, the widget is triggered when users click emojis, which opens the chatbot interface.

You can also define what users see and what guidance appears up front. For example, Spark lets you set up to three clickable questions to help first-time visitors start with common intents.

Spark’s configuration and analytics cover both website activity and Discord sessions, so you can track how people engage with the agent across those channels.

Web Widget Setup in Spark Chat Configurations (Web Widget Tab)

Your widget configuration is managed inside Spark’s chat settings. In Spark, there is a dedicated Web widget tab within chat configurations.

In that tab, you configure the essentials of how the widget behaves and what it presents to users, including:

• Widget name
• Custom prompt
• Conversation style

This is also where you set the initial user experience elements.

Add Clickable Questions (Up to Three)

To guide visitors, Spark allows you to choose up to three clickable questions. These appear as quick prompts users can tap to jump directly into relevant conversation flows.

This is useful for steering users toward common topics and reducing the chances that the agent has to interpret a completely open-ended request.

Include a Disclaimer

Spark also supports adding a disclaimer within the web widget configuration. This ensures users see important context before or while they interact with the chatbot.

Customize Widget Appearance

Spark lets you customize the look and feel of the web widget, including elements such as:

• Themes and colors
• Profile picture
• Emojis

By adjusting these settings, you can match the widget to your site branding and ensure the emoji triggers are consistent with your design.

Embed Snippet + Domain Permissions + Analytics Tracking

Once you’ve configured the widget, Spark provides an embed snippet. You copy that snippet and paste it into your website to toggle the widget live.

Configure Embed Permissions Per Domain

Spark also supports setting embed permissions per domain. This determines where the widget is allowed to run.

After your domain settings are correct, the widget becomes live on the intended website(s).

Copy the Snippet to Toggle the Widget Live

After configuration, Spark gives you the snippet to embed. In the workflow described, once you place the snippet into your website, the widget is toggled live and can be used immediately.

Track Activity for the Website and Discord

A key part of the setup is analytics tracking. Spark tracks activity on your website and also on Discord, letting you see how people use the chatbot across both environments.

Content Gap Analytics: Fixing Missing Documentation Answers

Launching the widget is only the first step. Spark’s analytics include a feature called content gap views that help you close gaps in what the agent can answer.

What “Content Gap” Means

A content gap shows situations where the agent is looking for answers but cannot find them in your documentation.

This is important because it turns “the bot didn’t answer” into a concrete workflow: you can identify exactly what’s missing and then add the correct information.

How to Add Missing Answers (Including AI-Polished Suggestions)

When you see a content gap, Spark lets you add the correct answer as a suggested response.

In the process described:

• You can type in a suggestion for the missing answer.
• Spark can polish the suggested answer with AI.
• Then you save the answer so Spark can match it in future interactions.

The goal is to reduce repeated failures by ensuring that the next time the same or similar question comes up, the agent has the missing content available.

Question Extraction + Daily Email Updates + Transcript Access

Beyond content gaps, Spark also focuses on surfacing what users actually ask.

Question Extraction from User Activity

Spark can extract valuable questions from user activity.

This includes cases where users ask questions specifically about the bot, and it’s presented as a way to identify insights and potential feature needs.

In other words, Spark isn’t only measuring unanswered prompts—it’s also collecting themes from what people request.

Daily Email Updates Summarizing Gaps and Questions

Spark provides a daily email update that summarizes:

• Content gaps
• Notable extracted questions

This helps you stay on top of what the chatbot is missing and what users are asking, without having to manually review every conversation.

View Transcripts with Full Conversation Access

Spark also supports accessing transcripts with full conversation access via either the website or Discord.

This gives you additional context for understanding why certain gaps happen and how users are interacting with the agent in practice.

Conclusion

Spark’s web widget setup helps you get a chatbot live quickly: configure the widget in Spark’s Web widget tab, add up to three clickable questions, optionally include a disclaimer, customize appearance and emojis, then paste the embed snippet into your site with proper domain permissions.

After launch, Spark’s analytics turn user conversations into improvements. With content gap analytics, you can add and AI-polish missing answers from documentation gaps, and with question extraction plus daily updates, you can identify recurring needs and refine the chatbot experience over time.