CavBot Docs
Version: 2.0

CavBot Docs

Help for every stage of your website.

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CavBot is a website intelligence platform. We bring clarity to what happens after launch — helping every digital experience stay reliable, resilient, and ready to recover.


Documentation Index

Fetch the complete documentation index at: https://cavbot.io/docs/llms.txt

Use this file to discover available CavBot pages before exploring further.


Websites are no longer static pages. They are live systems made of routes, scripts, search visibility, user sessions, forms, dashboards, embedded tools, and production behavior. CavBot gives those systems a command layer.

Once a website is connected, CavBot can begin organizing signals around the site profile: broken routes, JavaScript errors, SEO structure, accessibility snapshots, route behavior, and workspace context.

CavBot does not replace your analytics stack. It sits beside it as an operational intelligence layer: a place to see what needs attention, understand why it matters, and move toward the next action.





Overview What CavBot is and when to use it.

CavBot helps you monitor and understand a website after it is live. The first setup flow is simple:

  1. Create your CavBot account.
  2. Add your website as a site profile.
  3. Install the CavBot Analytics v5 snippet.
  4. Open the dashboard and confirm signals are arriving.
  5. Use CavAi, reports, and modules to understand what needs attention.

Every website belongs to a workspace, and every workspace can contain one or more site profiles. A site profile represents a real website origin, such as https://example.com.


When to use CavBot

Use CavBot when the website is important enough that broken pages, weak metadata, route loops, or client-side errors should not sit unseen. It is built for post-launch work: the practical stage where a site has real visitors, real routes, and real consequences when something breaks.


CavBot is especially useful when a team needs one place to understand site health before deciding what to fix. Analytics can show traffic and conversion. CavBot focuses on operational signals: what changed, what broke, what is missing, and what needs review next.


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