AI Reporting Agent

Weekly reports delivered by 8am Monday every week

We run this agent internally for all 15 of our clients via our /weekly-report skill. It pulls data from GSC, GA4, Ahrefs, and Google Ads, correlates the numbers to what the team shipped that week, writes a performance narrative, generates a PDF, and pushes a Slack summary. This is that system, productized and deployed for your clients. Stop spending Fridays writing reports.

Deploy the Reporting Agent

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Monday 6am

Weekly delivery time

~8hrs

Weekly report time redirected per account manager

Data sources per report

100%

Reports correlated to work shipped

What the Agent Produces

Every section of a complete client report, generated automatically.

The report is not a data dump. Each section is written with context: what changed, why it likely changed, and what the team plans to do about it. The agent knows what work was shipped because it reads from the same task log your team maintains.

Multi-Source Data Pull

Every Monday at 6am the agent pulls from five sources: Google Search Console for impressions, clicks, and keyword rankings; GA4 for sessions, conversions, and channel performance; Ahrefs for referring domain changes, keyword movement, and DR changes; Google Ads for spend, CPA, and ROAS; and Supabase for any client-specific custom metrics.

GSC: impressions, clicks, CTR, position by keyword
GA4: sessions, conversions, channel attribution
Ahrefs: DR, referring domains, top keyword movements
Google Ads: spend, conversions, CPA, ROAS by campaign

Work Correlation Layer

Raw data without context produces reports nobody reads. The agent reads from your team's work log, which can be a simple Google Sheet, a Notion database, or a task management tool, and correlates metric changes to actions taken. "Organic sessions +18% this week. Four new blog posts indexed Monday through Wednesday. Two previous posts had title tags updated." That is a useful report.

Work log integration via Sheets, Notion, or API
Metric change to shipped work correlation
Change timeline overlay on performance graphs
Attribution confidence scoring per correlation

Performance Narrative Generation

The narrative section is written by Claude using your client's brand voice file. It leads with the headline number, explains the driver, and closes with what is planned for next week. It does not read like an AI summary. It reads like a senior account manager who knows the account and writes clearly.

Headline metric lead with driver explanation
Per-client voice calibration via Skills file
Next week plan section drawn from task queue
Anomaly callouts with context, not just alerts

PDF Report Generation

The final report generates as a professionally formatted PDF with your agency logo, client name, reporting period, and data sections. Charts are embedded. Tables are formatted. The document looks like something a senior strategist spent three hours on, because the agent spent three minutes on it.

Agency-branded PDF with client name and period
Embedded charts from data pull
Formatted data tables for key metrics
Consistent layout across all client reports

Slack and Email Delivery

The report arrives in two formats simultaneously. A Slack message in the client-specific channel delivers a three-paragraph summary with the top three wins, top concern, and next week focus. The PDF attaches to the Slack message and gets emailed to the client contact list. No manual sending.

Slack summary: three wins, one concern, next week
PDF attached to Slack message
Client email delivery with PDF attachment
Configurable recipient list per client

YoY and MoM Benchmarking

Week-over-week data without context creates panic on down weeks. The report automatically includes year-over-year and month-over-month comparisons for the core metrics, so a down week in a strong month reads correctly. Seasonal patterns are visible, not hidden.

Automatic YoY comparison for primary KPIs
MoM trend line for rolling context
Seasonal baseline calculation
Rolling 13-week performance trend

Data Freshness Monitoring

If any data source fails to refresh before the Monday pull, the agent does not silently omit the section. It flags the failure in Slack with the affected source, the last available data date, and the reason if determinable. You know before the client does.

Pre-pull data freshness check at 5am Monday
Source failure Slack alert before report generation
Partial report delivery with missing-data notice
Auto-retry on recoverable API failures

Mid-Week Anomaly Alerts

Weekly reports are the scheduled cadence. But significant drops should not wait until Monday. The agent monitors core KPIs daily and sends a mid-week alert if anything moves materially: ranking drops, traffic anomalies, conversion rate changes, or spend overruns. Same format, smaller scope.

Daily KPI monitoring between weekly reports
Anomaly threshold alerts on significant movement
Slack alert format consistent with weekly summary
Context provided: change magnitude, likely driver

Report Structure

What every weekly report contains.

Nine sections, delivered as one PDF and one Slack summary. Each section is configurable and can be turned on or off per client.

Executive summary

Three wins, one concern, three next steps. Three paragraphs. Written by Claude using account context.

Organic traffic overview

Sessions, users, and conversion rate from GA4. WoW, MoM, and YoY comparison.

Search Console performance

Impressions, clicks, CTR, and average position. Top keyword movers. New rankings and drops.

Keyword ranking table

Top 20 tracked keywords with current position, WoW change, and volume.

Content performance

Top pages by organic sessions. New content published that week. Impact of recent updates.

Link profile update

New referring domains, lost domains, and DR change from Ahrefs.

Paid media summary

Google Ads spend, conversions, CPA, and ROAS vs target. Only included if ads are active.

Work completed

Tasks shipped that week from work log, with URLs and type labels.

Next week plan

Planned tasks from queue, with owner and expected impact.

Internal Proof, Then External Product

We built this for ourselves first. Now we deploy it for clients.

The Challenge

Running 15 active SEO and content engagements, we were spending 12-15 hours per week on client reporting. Each report required pulling GSC, GA4, and Ahrefs data manually, correlating numbers to work delivered, writing a narrative, formatting a PDF, and sending it. The reports were good. The process was not sustainable at that volume.

Our Solution

We built the reporting agent as an internal tool using the Claude Agent SDK, MCP integrations for all five data sources, and a work log reader connected to our client task databases. The agent now runs every Monday at 6am. Each client receives a branded PDF and Slack summary by 8am. Our account managers spend Mondays acting on the data rather than compiling it. After 6 months of internal production use, we turned it into a productized service.

Results Achieved

~12hrs/wk

Weekly reporting time saved

Across 15 client accounts

100%

Report delivery consistency

On-time Monday delivery since deployment

Identical

Client report quality

No quality degradation vs manual reports

~48hrs/mo

Account manager time redirected

Team-wide, now spent on strategy and execution

FAQ

AI reporting agent frequently asked questions

We connect the agent to your work log during setup. The work log is typically a Google Sheet with columns for date, task type, client, URL affected, and description. This can also be a Notion database or a project management tool with an API. The agent reads the log at report time, matches entries to the reporting period, and uses them as context for the narrative generation. If your team currently logs work anywhere with a date field, we can connect it.

Yes. During onboarding we map your client-specific KPIs: e-commerce revenue, trial signups, qualified leads, form fills, or whatever matters for each account. These pull from GA4 custom events or BigQuery via the analytics MCP. The report template is configurable per client, so a SaaS client report differs in structure and metrics from an e-commerce client report.

The agent runs a data freshness check at 5am before the 6am pull. If a source returns stale data or an error, a Slack alert goes to the account manager immediately. The report still generates with available data and includes a clear note where data is missing. Most Google API rate limit issues resolve within 30 minutes, so a retry runs at 7am. If the retry fails, you receive a partial report with explicit missing-data callouts.

Yes. The PDF template uses your agency logo, color scheme, and font. Section order is configurable. You can include or exclude any section by client. The narrative style is calibrated from your existing reports during onboarding, so it matches how your team currently writes rather than imposing a generic format.

Dashboards require the client to log in and interpret data themselves. This agent delivers an interpreted narrative. The numbers come with a written explanation of what drove them and what will happen next week. Most clients do not want a dashboard. They want to know if things are moving in the right direction and what their agency is doing about it. That is what the report delivers. Dashboards are still useful for clients who want to self-serve; the two are not mutually exclusive.

The Slack message follows a fixed three-section format: three wins from the week with the supporting number (e.g., "Organic traffic +14% WoW, driven by three new blog posts indexing Thursday"), one concern or area to watch with context, and three planned actions for the coming week pulled from your task queue. This format was calibrated from six months of internal use and is the section clients engage with most. The PDF has the full data for anyone who wants to go deeper.

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