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Use the Peec MCP to pull the URL report for our domain for the last 30 days. Show every URL that has been retrieved or cited by any AI model, ranked by citation frequency. For each URL include: the retrieval rate, citation count, which AI models are citing it, and how that compares to the prior 30 days. Flag URLs that have dropped significantly and highlight any that are new entrants to the cited list this month. I want to understand exactly which content is doing real work in AI search right now. Export the full ranked URL list to a Google Sheet. Connect it to Looker Studio for an ongoing content-performance dashboard showing which pages are gaining or losing AI citations.
Content investment decisions should be made on evidence. The problem is that most teams measure content success by Google rankings and pageviews, which tells you almost nothing about AI search performance. A page that ranks well in Google might be completely ignored by AI models, while an old support article from three years ago is being heavily cited across ChatGPT and Perplexity.
This surfaces the real picture: URL by URL, model by model, with trend data showing whether things are improving or declining. It tells you where to invest next, what to refresh, and what you can stop maintaining because AI is not reading it anyway.
