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SESSION 3

The Signal: Diagnose with FACT & Build Your First Scout

Week 1: Your New Superpower

Why this matters

Read your AI visibility data and build an agent that finds the right problems for you.

  • Your Insights set up (sitemap + prompts) with a live read on your own brand.
  • Your first Scout playbook, built in Quill, that surfaces the pages to fix.
Thursday, July 9 / 1:00 PM ET
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FACT Diagnostic

Prompts for Quill

Use the FACT diagnostic to find your gaps. Click a card to flip it, then copy the prompt straight into Quill.

F
Findable
Click to flip
FFindable
Look at our on-site data in Insights and find any pages that have zero impressions and zero citations. List them.
A
Agent-Aligned
Click to flip
AAgent-Aligned
Find pages in our Insights data that are getting impressions from Google but have zero AI citations. List them.
C
Citable
Click to flip
CCitable
Find pages in the /blog folder in our Insights data that have high organic traffic but a low citation rate. List them in order of the biggest gap between traffic and citations.
T
Trusted
Click to flip
TTrusted
Look at our off-site citations data and find topics where our competitors are being mentioned on third-party pages but we are absent. List them.
Scout Playbook

Building your first Scout Playbook

Choose one based on the most likely update that is needed.
These are potential prompts for the gates A and C.

Agent-Aligned Gate
Build a playbook that uses our Insights data to find all pages that are receiving impressions from Google but have zero AI citations. For each page found, the playbook should research why the content may not be getting picked up by AI models (consider things like content structure, topic framing, lack of direct answers, or missing context) and suggest specific changes to fix it. Prioritize the results by pages with the highest impression volume first, and output a structured report that includes the pages found, a diagnosis for each, and a prioritized list of recommended next steps. This report should follow the same format every time it runs.
Citable Gate
Build a playbook that uses our Insights data to find all pages in the /blog folder that have high organic traffic but a low or zero AI citation rate. For each page found, the playbook should research why the content may not be getting cited by AI models despite its traffic performance (consider things like content structure, answer formatting, topic authority, or how directly the content responds to a query) and suggest specific changes to fix it. Prioritize the results by the biggest gap between traffic volume and citation rate, and output a structured report that includes the pages found, a diagnosis for each, and a prioritized list of recommended next steps. This report should follow the same format every time it runs.