Automate Schema Markup at Scale: A Python + LLM Pipeline for JSON-LD
A production Python + LLM pipeline that generates, validates, and deploys JSON-LD structured data at scale — with a hard validation gate so you never ship markup Google rejects.
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Vector Databases for SEO at Scale: pgvector vs Qdrant vs Pinecone vs Weaviate
A production-tested comparison of pgvector, Qdrant, Pinecone, and Weaviate for storing and querying embeddings in SEO automation pipelines — with working code and a migration script.
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Automate XML Sitemaps at Scale: Dynamic Generation, Validation, and GSC Sync with Python
Treat your XML sitemap as a pipeline, not a file. A working Python workflow to dynamically generate, split under the 50k-URL limit, validate, and reconcile sitemaps against Search Console for large sites.
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Automate Internal Linking at Scale: Build a Semantic Link Recommendation Engine with Python and Embeddings
A reproducible Python pipeline that embeds every page, scores semantic similarity, subtracts links you already have, and outputs a ranked internal-link review queue.
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Automate Search-Engine URL Submission: A Python IndexNow + Google Indexing API Pipeline
A working Python pipeline for automated search-engine URL submission with IndexNow and the Google Indexing API, plus an honest take on what each channel can and cannot do.
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Automate Keyword Clustering at Scale: From a Raw Export to Content Topics with Embeddings + HDBSCAN
A working Python + n8n pipeline that groups thousands of keywords into content topics by intent using embeddings, UMAP and HDBSCAN.
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How to Automate SEO Content Briefs with Python, SERP Data, and an LLM
Build a Python pipeline that turns a target keyword into a data-grounded SEO content brief in under a minute: scrape the SERP, count what ranks, and let an LLM draft the outline from real evidence.
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Automate Title Tag & Meta Description Rewrites: A CTR-Driven GSC Pipeline (Python + LLM)
Build a pipeline that finds CTR-decayed pages in Search Console, rewrites their title tags and meta descriptions with an LLM, QA-gates the output, and ships the winners.
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SEO Regression Testing in CI/CD: Block Bad SEO Before It Ships
Build an automated SEO regression testing pipeline in GitHub Actions that crawls a preview deployment, asserts SEO invariants with pytest, and fails the build before titles, canonicals, robots directives, or schema break in production.
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Automate 301 Redirect Mapping for Site Migrations with Python and Embeddings
Build an automated 301 redirect mapper that matches old URLs to new ones by meaning with sentence embeddings, confidence thresholds, and post-launch validation.
