A/B Testing & SEO
Articles on A/B testing strategies, Google's official guidance, long-term experiments, and SEO implications including indexing, cloaking, and canonicalization.
Winning the Shortlist Economy: How to Unify Search, AI, and PPC Strategy
An actionable analysis of how to integrate organic SEO, Answer Engine Optimization, and paid media into a unified revenue strategy for the AI search era.
When Old Forums Get Hit: Google’s Evolving War on Automated Thin Content
A forum received a manual action for thin content, sparking industry fears about Google targeting AI-generated material. We break down the implications for your site.
Beyond robots.txt: Why Relying on Crawl Exclusion Can Expose Private Data
An analysis of the risks of search engine indexing and technical methods for properly securing private web content using robots.txt and noindex meta tags, inspired by the recent Claude chat indexing incident.
Dynamic Expiry Signals: What Happens When You Roll unavailable_after Dates?
Google's Gary Illyes weighed in on whether constantly extending the unavailable_after meta tag on renewed listings impacts indexing. Here is how Googlebot recrawls handle shifting expiration dates and why short-lived content needs careful handling.
The 5-Second Render Window Fallacy: How Google's Virtual Clock Really Handles Delayed JavaScript
Dave Smart's technical experiments prove Google's Web Rendering Service doesn't drop DOM execution after 5 seconds, revealing how virtual clock mechanics handle delayed API calls.
The Real Cost of Pausing SEO: Why 'Wait-and-See' Is a Strategy for Obsolescence
Freezing your search budget during the AI transformation doesn't freeze the market. It actively hands your rankings, citations, and revenue to competitors. Here is why sitting on your hands is high risk—and what to do instead.
AI Drives Humans to Homepages and Cites Deep Pages: Your Site Architecture Is Broken
Data from Similarweb, Ahrefs, and Previsible proves AI traffic lands on your homepage while crawlers cite deep pages. Here is how to rebuild your architecture for the two-lane AI web.
Isolating True SEO Lift: Counterfactual Modeling, CATE, and Causal Testing
Simple pre/post SEO reports can't separate real lift from noise. Learn how to isolate incremental traffic using CausalImpact modeling, CATE segmentation with CausalML, and SearchPilot's experimentation maturity framework.
Synthetic Visibility, Real Penalties: The New Old Game of Backlink Manipulation
An analysis of how AI visibility services are repackaging outdated link manipulation tactics, the dangers of backlink penalties in the AI era, and why E-E-A-T is the only sustainable strategy.
Beyond the Checklist: How Modern Search Actually Weights Your Content
Moving away from checklist-based SEO, this article explains how to build sustainable organic visibility by focusing on system-driven ranking signals and user-centric content quality.
Technical SEO Prioritization: Sorting High-Impact Work from Engineering Busywork
A practical guide to evaluating technical SEO tasks by ROI, protecting developer capacity, and avoiding checklist-driven time-wasters while preparing for AI search.
The Common Robots.txt Mistake That Costs You Indexing Control
A deep dive into how robots.txt user-agent precedence works, why Googlebot ignores general rules when specific ones exist, and why 'noindex' is the solution for controlling search indexing.