Category: SEO

Off-site SEO was considered the fuel for rankings for the vast majority of SEO history, due to the PageRank algorithm and the very foundations on which search engines like Google were built. Recently, this has changed significantly.

In recent months, a recurring claim has emerged: that building visibility in ChatGPT or other generative AI systems can replace traditional SEO. The problem with this narrative is not strategic optimism, but a category error.

(And How Entity-Derived Signals Indirectly Influence Ranking) When SEOs talk about entities, the discussion often drifts toward myths or unclear, undefined concepts: hidden entity scores, ideal entity ratios, or thresholds that supposedly unlock rankings.

Questions about whether PageRank still works (and how strongly it influences rankings) return regularly. Less frequently than before, because SEO has long outgrown the phase of simply counting links. Some heard it was discontinued. Others insist it still runs the algorithm like it did in 2005.

For years, structured data was just a neat way to decorate your search snippets. You’d add some JSON-LD, cross your fingers, and hope for those rich results. It wasn’t “knowledge,” it was markup. Pretty markup, sure — but still markup. Fast-forward to today, and things look very different.

Best practices for SEO titles that actually work (backed by tests, Googlers’ comments, and Google’s own systems) Forget “magic numbers.” Let’s focus on what actually moves the needle.

TL;DR: Entity salience means how “prominent” a given entity is within a piece of content. The clearer and more consistent the context around your key entities, the better Google can connect your page with relevant topics, intents, and queries.

If you’ve been following the SEO world closely, you’ve probably already heard the news: Surfer has officially become part of Group Positive.

Semantic SEO is often discussed in the context of long-form content — blog posts, topical guides, and knowledge hubs. That’s understandable. Frameworks like Koray Tuğberk Gübür’s were designed primarily for in-depth content modeling, where entities, attributes, and predicates form complex meaning chains.