The latest perspective
AI Overview Click Loss: How to Investigate a Traffic Drop
Investigate AI Overview click loss without guessing: compare clean Search Console windows, rule out other causes and report what the data…
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Make sense of search in the age of AI. Practical guides, thoughtful experiments, and useful tools for your next move.
The latest perspective
Investigate AI Overview click loss without guessing: compare clean Search Console windows, rule out other causes and report what the data…
Read the storyArticle 6 min read
Investigate AI Overview click loss without guessing: compare clean Search Console windows, rule out other causes and report what the data supports.
Article 7 min read
llms.txt vs robots.txt explained: one file sets crawler access, the other recommends pages to AI tools. Learn how they interact and which to fix first.
Article 7 min read
llms-full.txt puts the full text of your key pages in one Markdown file for AI tools. Learn where it came from, when it helps and how to build one.
Turn insight into action
A little learning. A better workflow. Something worth trying.
Learn the principles behind discoverable, useful websites.
Explore learning paths 02Start with a purposeful prompt. Adapt it to your own process.
Browse the prompt library 03Find focused tools that help you move from idea to execution.
Discover toolsLearning Path 110 min read
Use supplied crawl evidence to triage SEO issues, propose useful internal links, and create a verified fix plan through five text lessons.
Learning Path 100 min read
Build an evidence-led SEO content brief, draft with AI, check claims, prepare metadata, and plan meaningful updates in five practical lessons.
Experiment 5 min read
Impressions can rise while clicks or CTR fall. Review three SEO reports, current research and a segmented method for investigating AI Overviews.
Experiment 5 min read
AI citation tracking needs repeated prompts and stable conditions. Review three accounts and build a measurement plan that handles missing answers.
Evidence before hype
We value clear methods, useful sources, and honest limitations.