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Digital Growth 2023 Active · Scaling

SEO Automation Engine
Intelligent Growth Platform

An AI-powered SEO audit, reporting, and lead generation platform that replaced weeks of manual analysis with automated, actionable intelligence delivered in minutes.

85%
Time Saved
Report Output
300+
Sites Audited
2 min
Avg Audit Time

Manual SEO Reporting Was Killing Growth Capacity

A growing digital marketing agency was generating SEO reports for 40+ clients using a combination of Ahrefs exports, Google Search Console screenshots, and manually written analysis in Google Docs. Each full audit took 6–8 hours. As the client roster grew, the reporting bottleneck was preventing them from taking on new business — analysts spent more time formatting data than providing strategy.

They needed a system that could crawl a site, pull all data sources, identify critical issues, generate prioritised recommendations, and produce a branded client-ready report — automatically.

Crawl. Analyse. Report. Automatically.

We built a Python-based crawl engine that analyses technical SEO, on-page elements, performance metrics, backlink profile, and Core Web Vitals for any domain in under 2 minutes. An AI layer interprets the data, prioritises issues by business impact, and generates natural-language recommendations. A React dashboard lets analysts review, customise, and export white-labelled PDF reports with one click.

Full-site crawler — technical issues, on-page, schema, performance, Core Web Vitals in <2 min
AI recommendation engine — issues ranked by traffic impact, not just technical severity
Google Search Console + Analytics integration — pulls real data directly into reports
Competitor gap analysis — automatic keyword and backlink comparison against top 5 competitors
White-label PDF export — branded client reports generated in one click from the dashboard
Automated monthly reports — scheduled delivery to clients without analyst involvement

Technology Stack

A Python crawl engine using Scrapy processes sites in parallel workers. GPT-4 generates the recommendation narratives from structured audit data. The React dashboard lets analysts review and customise before export. PDF generation uses Puppeteer for pixel-perfect branded output. Background jobs run on AWS Lambda, keeping costs proportional to usage.

Python + Scrapy (Crawl) OpenAI GPT-4 (AI Analysis) React (Dashboard) Node.js (API) PostgreSQL (Audit Data) AWS Lambda (Workers) Redis (Job Queue) Google Search Console API Google Analytics API Puppeteer (PDF Gen) Celery (Task Queue)

From 8 Hours to 2 Minutes Per Audit

The agency went from producing 5–6 reports per week (limited by analyst capacity) to 30+ reports per week using the same team. The 85% time saving on reporting meant analysts could focus on strategy and client communication. Client satisfaction scores increased because reports were more frequent, more data-rich, and more consistently formatted. The agency used the freed capacity to grow their client roster by 60% in 6 months.

We went from dreading monthly reports to actually looking forward to them. The automated system catches things we used to miss, the recommendations are better than what we were writing manually, and clients are genuinely impressed. XtrazCon built something that became the backbone of our entire delivery operation.

MD
Managing Director
Digital Marketing Agency, 40+ Clients
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