SEO Experiments is a working lab for field-tested technical SEO learnings, search experiments, and tools that make implementation easier.
Experiments
Technical SEO, AI search behavior, schema, and content systems.
Guides
Hands-on walkthroughs designed for implementation instead of theory.
Tools
Small utilities that solve practical workflow problems.
Latest experiment
Why I built LinguaLink, a self-hosted Discord translation bot for gaming servers, and why I skipped external translation APIs.
The site works best when content, tools, and experiments reinforce each other. These are the newest pieces shaping that system.
Why I built LinguaLink, a self-hosted Discord translation bot for gaming servers, and why I skipped external translation APIs.
An analysis of HubSpot's State of Marketing 2026, covering AI, AEO, brand POV, personalization, creators, and growth trends.
How Anthropic separates MCP, chat memory, Claude Code memory, and the Memory Tool in its official architecture.
A complete AI video workflow from image generation to voice, motion, editing, and final output.
How to bring Amazon keyword search volume data into ChatGPT using DataForSEO and a custom GPT workflow.
SEO Experiments should feel like a lab, not just a blog. These tools are the most tangible part of that promise.
Keyword research
A practical keyword research workflow with real data inputs for fast exploration and prioritization.
Open toolTechnical cleanup
Built to speed up redirect planning and reduce friction when URL migrations or cleanup work get messy.
Open toolLinkedIn formatting
A quick utility for cleaner, more readable post formatting when social publishing should not eat your time.
Open toolOn-page analysis
A more advanced content analysis workflow for topical coverage, term usage, and SERP-inspired comparison work.
Open toolReview intelligence
NewExtract Trustpilot reviews and surface recurring themes, issues and sentiment patterns without manual reading through hundreds of entries.
Open toolThe site sits between a technical SEO notebook, a guide library, and a tool collection. That combination is the real asset: experiments prove ideas, guides explain them, and tools make them reusable.
Current focus
