What it is.
Monthly reporting is where agency hours disappear. This documents the pipeline we run over Search Console exports, GA4 landing page data and AI citation data.
Four prompts do the work: anomaly detection, narrative generation, citation gap analysis and the executive summary. Drafts pass account-lead review with roughly one round of edits on 80% of reports.
Three sections never get closed by a model. Interpretation, recommendations and the client-specific calls stay with the lead, because a plausible explanation of a 23% drop is worse than none.
What you get.
- The three data sources feeding the report, and what each contributes
- The client instruction file that keeps reporting consistent
- Four prompts: anomaly detection, narrative, citation gap, executive summary
- The seven-section report shape, from executive summary to data appendix
- Three adaptations by client type, covering enterprise, developer-led and mid-market
- The three sections kept human, and why interpretation is the riskiest to hand over
Read it at the source.
Read the guide
How much of the draft survives review?
What sits in the pipeline?
Can AI write an SEO report?
What should never be automated in reporting?
What data does a monthly SEO report need?
How much editing does an AI-drafted report need?