Audit pages, track rankings, compare traffic. Every one is ready to run, and you can adjust it in plain language.
Turn ready token counts into a dated cost report and usage chart.
Your stakeholders get month-to-date AI costs and a link to the daily usage chart when you mark a day's counts ready.
Log dated deal counts and values by stage in the reporting sheet.
Your sales lead gets a Monday view of open deal counts and values by stage, with the reporting period and any missing amounts clear.
Load checked team entries into reports and list rows to fix.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
Answer sales report requests with figures from matching deals.
Get a sales pipeline report in the same email thread, with the deal count or value and the filters behind it.
Reconcile model and daily token totals for the weekly report.
Your stakeholders get a clear weekly view of AI token usage and estimated costs, with a daily chart and gaps called out.
Calculate requested pipeline figures from current deal records.
Get answers from your data analysis chatbot when teammates ask about the sales pipeline, with the deal filters behind each figure.
Create a filtered CRM report with a linked matching-deals list.
Get a sales pipeline report for the slice you request. Open the matching deals to check the count or value.
Map daily ad reports into campaign tables and log exceptions.
See which campaign figures reached your analysis table and which rows need attention after your daily Google Ads to BigQuery import.
Put current query results in Excel for the next report.
Your report preparer gets a fresh Excel workbook when the SQL reporting table changes. The rows follow your chosen query and headings.
File each requested site's traffic and backlink snapshot by date.
Your reporting boards get dated traffic and backlink figures from the metrics you keep, or your assigned analyst hears why they could not be logged.