What this use case can do for you
Client reporting usually takes more time than it should. You pull the numbers, rewrite the story, copy screenshots into slides, clean up the layout, and then try to make everything feel polished and on-brand before it goes out the door. This workflow turns that process into a repeatable system. Use Claude with the igeo.ai MCP to pull the right client data, summarize what changed, and surface the most important wins, risks, and competitive movements. Then use Lovable to turn that output into a branded, client-facing report that looks and feels like your agency or your client. The result is a white-label report you can actually send: clear, professional, and easy to refresh for every reporting cycle. Whether you are preparing monthly updates, campaign recaps, or ongoing AI visibility reports, this setup helps you spend less time formatting and more time showing impact.
Use the igeo.ai MCP to pull visibility, citation, query, and competitor data for [client brand] over the last [time period]. Then create a white-label client report for [agency or client name] using [brand colours], [logo], and [preferred tone of voice]. Structure it as a polished, client-facing report in Lovable with an executive summary, key wins, risks to watch, competitor comparison, top queries and prompts, cited sources, and recommended next steps. Keep the language client-friendly, visually clear, and easy to refresh every [reporting cadence].