All organizations, prompts, values, dates, and outputs in this example are synthetic. Tool results depend on the authorized brand, filters, and stored data.
Run a cross-surface audit
Combine multiple tools in one conversation to document the current scope, inspect supporting evidence, and prepare a prioritized review list.1
Get the big picture
You: Give me the full overview for GreenLeaf Cosmetics over the last 30 days, with comparison to the previous period.Claude returns key counts, scores, and trend vs previous 30 days. You immediately see if things are improving or declining.
2
Find weak spots in the matrix
You: Show me the visibility matrix by topic.Claude displays a topic × provider grid. You spot cells with low visibility (e.g., “Hair Care × Gemini = 12%”) and compare to your strong cells.
3
Check which pages AI cites
You: Which of my pages are cited by AI? And which are invisible?Claude shows pages categorized by status: WORKING, NEEDS_ATTENTION, NOT_CITED, and DISCOVERED. The result distinguishes pages with no recorded citation from cited pages absent from the sitemap inventory.
4
Verify technical readiness
You: Is my site technically ready for AI crawlers?Claude checks robots.txt, llms.txt, sitemap, and crawler directives. Review any access issue against the site’s intended policy; this check does not predict visibility impact.
5
Get a prioritized action plan
You: Based on everything, what are my top 5 actions sorted by impact?Claude returns the Action Center’s priority, impact, and effort classifications alongside the earlier evidence. Treat the resulting list as triage input and confirm each item before acting.
This workflow combines five surfaces. Keep their scopes distinct: overview and matrix summarize stored answers, page presence records citations, technical status checks public configuration, and Action Center applies its own prioritization rules.