Map Your Site's AI Visibility
Full sitemap matched against AI retrieval data, updated weekly.
ChatBakers 
Claude 
Firecrawl 
Google Sheets What this workflow does
Most teams only monitor the pages they are already paying attention to: the ones they think are important, the ones they recently updated, the ones with the most backlinks. But AI search does not care about any of that.
It might be heavily retrieving a 3-year-old support article while your flagship product page is completely invisible. It might be citing a comparison page that uses outdated positioning while your best case study goes unread.
This workflow maps your entire content footprint against actual AI retrieval behaviour: every page, every status, updated weekly. For the first time you can see the full picture of what AI is reading, what it is ignoring, and where the most important gaps actually are.
Example prompt
ChatBakers MCP connected ❯ Crawl our sitemap and extract every live URL across the site. Pull the URL report for our domain in 30-day windows for the last 90 days. Match every sitemap URL against the ChatBakers data. For each URL, assign a status: Rising, Stable, Declining, or Never Retrieved. Output the results as a Google Sheet with columns for: URL, page type, current retrieval rate, 30/60/90-day trend, status flag, and citation count. Include instructions for scheduling a weekly Claude task so the dashboard stays current automatically.
