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AI Automations

Dare Network — Agentic SEO Reporting OS

How Dare Network turned four hours of manual SEO reporting into a 15-minute, data-backed conversational workflow for 30+ client accounts.

Agentic AISEOAI automation

Executive Summary

Client: Dare Network
Industry: Performance Marketing & SEO Agency

Client reporting was consuming senior SEO capacity at the end of every reporting cycle. Analysts had to collect Search Console and GA4 data, identify meaningful changes, write a narrative and format a presentation before they could discuss strategy with the client.

TEKMO AI built an agentic reporting system that lets the team request an analysis in natural language. The system retrieves verified performance data, identifies the relevant trends and generates an editable, branded presentation for review.

The Challenge

Monthly reports were a high-effort but repeatable deliverable. The team spent approximately four hours per report moving between platforms, cleaning exports, checking figures, writing commentary and assembling slides. This limited the number of accounts an analyst could support and increased the risk of copy-and-paste errors.

A standard text generator was not sufficient. Every conclusion needed to be tied to live client data, and the output had to be usable by non-technical team members without requiring them to operate APIs or automation tools.

The Solution

TEKMO AI connected Claude to an n8n tool layer through the Model Context Protocol. Claude can call approved workflows that retrieve data from Google Search Console and Google Analytics 4, then pass a structured reporting brief to Gamma AI for presentation generation.

The AI is not asked to guess performance. It works from data returned by controlled workflows and exposes the resulting analysis in a format the SEO team can verify.

How It Works

  1. An analyst asks a business question in natural language—for example, which pages lost the most traffic in a market during the previous month.
  2. Claude selects the appropriate n8n workflow and requests data from Search Console or GA4.
  3. The workflow cleans and structures the response before returning it to the agent.
  4. Claude analyzes the changes, develops the client narrative and creates a structured brief.
  5. Gamma AI converts the brief into an editable, branded slide deck and returns a live link for review.

The same system can work across more than 30 client accounts without adding a separate reporting process for each one.

Business Results

  • Reporting turnaround: reduced from approximately four hours to 15 minutes per report.
  • Scale: supports reporting across 30+ client accounts without a corresponding increase in headcount.
  • Quality control: every insight is grounded in live Search Console or GA4 data rather than unsupported AI-generated claims.
  • Operational consistency: reports follow a repeatable structure and avoid manual copy-and-paste errors.

Analysts now spend reporting time interpreting performance and preparing recommendations instead of assembling documents.

Technology

n8n, Claude by Anthropic, Model Context Protocol, Google Search Console API, Google Analytics 4 API and Gamma AI.

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