Ravi Yadav

Learn why approval should attach to one exact public revision, with a record of who approved it and when. Review the Open Blog Baseline and open_blog’s limits.

Evaluate an AI-powered SEO tool for site access, Google Search Console evidence, diagnosis, content safety, and change verification without trusting unsupported scores.

A proposed, unrun protocol for checking writing-benchmark sources, scoring steps, synthetic fixtures, reproduction limits, and future audit records.

A methodology-first look at why an AI system fetching /llms.txt does not mean it parses, retains, or cites the content. No measurement claimed.

Understand Google Search Console average position near 10 with zero clicks, then use a claim-safe diagnostic decision tree before rewriting.

Learn how to allow documented AI crawlers in robots.txt, verify production responses with curl and Python, inspect logs, and separate crawl permission from AI visibility.

GSC validation confirms Google rechecked a reported issue—not that rankings or indexing improved. Learn what a Passed result proves, its limits, and what to check next.

The Open Blog Baseline brings editorial and technical blog rules into one labelled list. See its scope, limits, examples, and a practical review checklist.

A proposed three-question method for reviewing AI-assisted content: verify the facts, preserve source limits, and check whether the draft helps its intended reader.

How much does an SEO audit cost? Compare indicative prices by scope, evidence, and deliverables, and learn what to check before hiring an SEO auditor.

Create and verify llms.txt with a root-level Markdown template, curl checks, link validation, deployment examples, logs, and measured limits on AI consumption claims.

Before an AI overviews tracker can show presence, Google must fetch your page. Learn the GSC method to verify reach, not rank or citation.