SEO engineering scripts, tools, and workflows.

By Jake Labate, SEO Consultant Published | Updated

A growing resource hub for practical SEO engineering assets people can reference, adapt, and use across search data analysis, crawl diagnostics, internal linking, and AI crawler workflows.

Resource types

  • Query libraries: reusable SQL patterns for search data.
  • Visualizers: workflows that make technical SEO systems easier to inspect.
  • Analyzers: scripts that turn logs and crawl data into decisions.

Current resources

GSC BigQuery Query Library

Reusable BigQuery patterns for extracting search performance, query/page diagnostics, CTR opportunities, and trend checks from exported Google Search Console data.

Format: Query library

Open resource →

Internal Link Graph Visualizer

A workflow for turning crawl exports into a link graph that highlights hub pages, orphan risks, depth problems, and internal PageRank flow.

Format: Visualization workflow

Open resource →

AI Crawler Log Analyzer

A log-analysis framework for separating AI crawler activity from classic search bots and understanding which URLs are being requested by LLM-driven systems.

Format: Log analyzer

Open resource →

How to use this collection

  • Use each page as a reference brief before adapting the workflow to your stack, data warehouse, crawler, or log format.
  • Pair scripts with manual QA so automation supports search decisions instead of replacing judgment.
  • Expect the collection to expand as more SEO engineering tools and workflows are documented.