AI Client Report Writer
Paste your metrics, get a polished branded monthly report ready to send.
The Idea
Monthly client reports are the most tedious, highest-stakes communication an agency produces. They take hours to write, nobody enjoys writing them, and a poorly presented report can cost you a client even when results are good. AI Client Report Writer takes raw metrics (copy-paste from Google Analytics, Meta Ads, LinkedIn, wherever) and produces a polished, branded monthly report with narrative context, performance highlights, and a forward-looking commentary section.
Why Now
The reporting burden on agencies grows every year — more platforms, more metrics, more demanding clients. Automated reporting tools (AgencyAnalytics, DashThis) exist but they produce dashboards, not narrative reports. The human element — explaining what the numbers mean, contextualising performance against goals, setting expectations for next month — is still manual. AI can now do that competently.
How to Build
Input: raw metrics (structured or free-text paste), campaign goals, client name, month. AI extracts key wins, identifies underperformance to address, writes an executive summary, generates section-by-section narrative (paid, organic, email, etc. based on what's provided), and adds a "next month focus" section. Output: Word doc or PDF with a template that matches basic brand inputs (logo, colour, font). Integration V2: direct API connections to major platforms.
Revenue Model
$49/month per client account, up to 3 reports/month. Agency package: $149/month for unlimited clients. The pricing needs to reflect the time saved — a well-priced tool that saves 3 hours/client/month is an easy sell at $49/client. Most mid-size agencies have 10-20 active client accounts.
Effort
1 weekend for a clean MVP. The narrative generation is well within current LLM capabilities. The PDF/Word output with basic branding is a template problem. The biggest investment is building a good metrics parser that handles the messy reality of copy-pasted platform data.
Risk
The market is somewhat crowded — AgencyAnalytics, Supermetrics, and others are all adding AI narrative layers. The differentiation is the quality of the narrative writing and the branding/formatting layer. If this feels like it's generating generic commentary, it loses. The product lives or dies on output quality.
Verdict
6/10. Real pain point, clear market, but competitive. Wins if the output quality is genuinely impressive — if clients receive the report and can't tell it was AI-assisted. Lose if it reads like it was generated. Quality over speed in the iteration cycle.
Real pain point, clear market, but competitive. Wins only if the output quality is genuinely impressive. Invest in getting the narrative right — that's the whole product.