SourcePilot — Context Packaging & Citation Analytics for AI-Assisted Browsing

The Problem

AI-assisted browsing is changing what it means to “get discovered on the web.”

It is no longer only about ranking for a query and earning a click. Increasingly, the flow looks like this:

• a user asks an AI assistant while reading a page,
• the assistant considers the current tab plus other tabs, PDFs, images, or files,
• the user asks follow-up questions without leaving context,
• and the original website becomes one ingredient inside a larger synthesized journey.

That creates a new operational problem for publishers, brands, documentation teams, and educational content owners:

How do we package content so AI systems understand it well, cite it correctly, compare it fairly, and keep us visible inside assisted browsing flows?

Most teams do not have tooling for that. They have SEO dashboards, generic analytics, schema markup, and editorial workflows built for pageviews and snippets.

They do not have a control layer for:

• follow-up-question visibility,
• page-context answer quality,
• multi-tab synthesis behavior,
• PDF and file answerability,
• or AI-surface referral analytics.

The opportunity is to build the context packaging and observability layer for AI-assisted browsing.