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Platform · Analytics

Reporting that narrates itself.

Pull Google Analytics, Search Console, Discover, Ads, and BigQuery into one workflow, let a Data Analyzer and LLM turn the numbers into a narrative — executive summary, key wins, concerns, and recommendations — and ship it to Google Sheets on a schedule.

Capabilities

What it does.

Every Google source

Analytics 4, Search Console, Discover, Ads, and BigQuery — read into one workflow.

Plain-language analysis

The Data Analyzer answers questions about your data without SQL or code.

Narrated reports

An LLM turns KPIs into an executive summary, wins, concerns, and next steps.

Week-over-week

Pass last period's data alongside this period's to compute and explain the deltas.

Composable

Works with the rest of the agentic platform out of the box.

Observable

Every run is logged, traceable, and resumable with retries and quotas.

Connect your sources

Every Google data source, wired into one workflow.

Read Google Analytics 4 by account and property, pull Search Console queries and pages, surface Discover traffic, summarize Google Ads campaigns, or run SQL against BigQuery. Each node returns clean JSON ready for the next step.

Google Analytics 4
Search Console
Google Discover
Google Ads
BigQuery Reader
Google Sheets
Shape the data

From raw JSON to the rows that matter.

Source nodes return JSON strings — use the JSON Path Extractor to pull the exact fields you need, Merge to combine sources, and Loop to iterate. No intermediate exports, no manual cleanup.

The Data Analyzer node

Ask your data questions in plain language.

Point the Data Analyzer at structured data — CSV, XLSX, JSON, or XML — and ask in plain English. It summarizes, filters, detects patterns and anomalies, and extracts insight with the LLM provider you choose. No SQL, no code.

Narrate and deliver

A report that explains itself.

Executive summary

The LLM opens with a tight read on how the period went, in your team's words.

Key wins & concerns

Standout gains and the metrics slipping the wrong way, called out explicitly.

Recommendations

Concrete next steps grounded in the numbers, not generic advice.

Week-over-week

Structured wow_changes computed from this period against the last.

Example

A weekly cross-channel report, end to end.

Google Analytics 4: pull KPIs JSON Path Extractor: shape rows Data Analyzer: summarize trends LLM: narrate (JSON) Google Sheets: publish

Feed the LLM the current period and the previous one; it returns structured JSON — executive_summary, key_wins, concerns, recommendations, and wow_changes — ready to write to a sheet on a schedule.

How it works

From input to outcome.

01

Configure sources

Add Google Analytics, Search Console, Ads, or BigQuery nodes visually in Studio — no code required.

02

Transform & analyze

Extract the fields you need, then ask the Data Analyzer for trends, anomalies, and summaries.

03

Narrate with the LLM

Generate a structured report — summary, wins, concerns, recommendations, and deltas — as JSON.

04

Publish & schedule

Write the report to Google Sheets and run it on a cadence, with retries and full run logging.

Get started

Show us the workflow.
We'll show you the 10x.

Bring the marketing workflow that eats your week. We'll build it live, with your data and your models, in 30 minutes.