Practical guides on SEO crawling, AI search visibility, and technical SEO. From canonical tags to crawl budget, with real examples.

DuckDuckGo installs spiked after Google made AI Search the default. Here is what the search fracture actually means for SEO and GEO, and the channels you should optimize for now.

A calm look at ai-dataset.json and similar AI index files. What they propose, what AI engines read today, and whether to add one to your site yet.

Most SEO crawlers were built Windows first. Here is an honest look at which tools run well on macOS today, what Apple Silicon changes, and how to choose without paying for a platform you do not need.

Free SEO crawlers compared: Screaming Frog, Seodisias, Sitebulb, Ahrefs Webmaster Tools, Google Search Console and more. What free actually means, the URL limits, and which one fits your job.

SEO is not dead, but the job changed. How AI Overviews, zero click search, and brand entity optimization reshaped the work, and what you still control.

Looking past Screaming Frog. A practical comparison of free, open source, and modern SEO crawlers, what each catches and which fits your audit.

AI agents are starting to act on websites, not just read them. Learn what agentic experiences are, how browser agents see your site, what the Universal Commerce Protocol changes, and how to prepare without falling for hype.

Google published official guidance on optimizing for AI features in Search. Here is a plain reading of what it confirms, the popular tactics it explicitly debunks, and the genuinely new parts, with what to actually do about it.

Hundreds of pages dropped from Google overnight and you have no idea why. Here is what 'deindexed' actually means, the eight causes that explain almost every case, and a 15 minute crawl-based triage to find yours.

Adding the current year to your title tag is not a ranking signal. This guide walks through what core updates actually evaluate, why some old pages climb back, what Information Gain is, and how to read post-update panic without making it worse.

llms.txt is meant to feed your content to AI models. New data on 137K sites shows 97% of these files are never even requested. Here is what actually works instead.

Pre-redesign audit, redirect map, URL structure decisions, on-page signal transfer, staging QA, launch day, and the first 30 days. A complete checklist.

Screaming Frog, Sitebulb, Ahrefs, Semrush, Lumar, ContentKing and Seodisias side by side. Pricing, JavaScript rendering, free tiers, and which crawler fits which job.

How Google and AI crawlers actually render JavaScript, the two wave indexing model, when to choose CSR, SSR, SSG, or ISR, and the patterns that quietly break indexing.

How to implement hreflang correctly for multilingual sites. The three placement options, the x-default tag, the relationship with canonical, and the five mistakes that quietly break it.

The official 2026 Core Web Vitals thresholds for LCP, INP, and CLS, what each metric measures, lab versus field data, and the playbook that fixes each.