How to verify technical SEO audit changes
Move from a warning count to the exact pages and evidence that deserve attention. Use this technical SEO audit guide for evidence, numbers, decisions,…
Ideas and practical guides for technical SEO, content strategy, AI search and evidence-led product workflows.
Move from a warning count to the exact pages and evidence that deserve attention. Use this technical SEO audit guide for evidence, numbers, decisions,…
Move from a warning count to the exact pages and evidence that deserve attention. Use this technical SEO audit guide for evidence, numbers, decisions,…
Move from a warning count to the exact pages and evidence that deserve attention. Use this technical SEO audit guide for evidence, numbers, decisions,…
Move from a warning count to the exact pages and evidence that deserve attention. Use this technical SEO audit guide for evidence, numbers, decisions,…
Run a technical SEO audit in eight evidence-led passes. Check access, indexability, canonicals, rendering, content, performance, priorities, and fixes.
Search visibility is changing. A customer may no longer start with ten blue links. They may ask an AI assistant which product to buy,…
Code to text ratio is becoming more important in the AI engines era because search is moving from links to answers. Google AI Overviews,…
You publish a great page.It ranks. And still… you don’t show up in AI answers. Here’s why. Google doesn’t just run your query.It breaks…
Your Google rankings look fine.Yet your brand never shows up in ChatGPT answers. That’s not “bad SEO.” It’s a different failure mode. ChatGPT “ranking”…
When people hear “GEO,” they usually assume one of two things: Both are wrong. SEO is still a major foundation. But the interface of…
Get a native Mac workspace for finding issues, reviewing evidence and deciding what to fix.
macOS 15+ · Paid subscription required · No automatic trialOpen only what you need. Each answer explains the practical boundary as well as the next step.
Still unsure? Ask us →The Journal covers technical SEO, website auditing, content evidence, AI search measurement, practical workflows, and product updates.
Articles should label measured results, examples, estimates, and limitations clearly. Check each article for its method, date, and source context.
Use Documentation for task-focused product instructions. The Journal provides broader explanations, examples, and analysis.
The publication and modification dates identify the current version of an article. Product instructions should also state the build or feature availability when relevant.
Yes, when the guide matches your task and product version. Verify each recommendation against the affected site rather than applying a checklist without reviewing the evidence.
No. LLMIC measures crawl evidence and research observations, then helps you review possible actions. Search engines and AI providers decide their own results.
Core crawl analysis is designed to run in the native Mac app. Features that use Google, AI, or other providers make the external requests described in the relevant workflow and use the credentials you connect.