Technical SEO

The hard part in content marketing is the information—ideas, verified facts, and reference material. And that’s exactly where these tools fall short. I learned this after generating 40 articles through Claude. I’d tried the writing tools first, but they…Read more ›View the full article

Secondary keywords are how you capture that extra traffic. They’re the supporting terms that help your page rank for more searches without creating separate content for each variation. In this guide, you’ll learn what secondary keywords are, how to find…Read more ›View the full article

It’s just a completely new way of working, also for SEOs. Instead of building every step of an SEO workflow yourself—like the setups you see all over n8n or Zapier—you simply describe the outcome you want. The agent takes it…Read more ›View the full article

This means you can ask: ‘Show me which blog posts lost traffic last month, what keywords they rank for in Ahrefs, and how many support tickets mentioned those topics in Intercom’—and get one consolidated answer instead of logging into three…Read more ›View the full article

That may sound defeatist, but unfortunately that’s just how the web works. Rankings slip, competitors improve, search intent shifts, and what was your best-performing article two years ago might be leaking traffic right now without you even noticing. This is…Read more ›View the full article

In this post, I’ll cover what content engineering actually is, its core components, whose responsibility it is, and how you can become a fully-fledged Content Engineer. Content engineering is the practice of building the systems that create content, rather than…Read more ›View the full article

But what exactly is llms.txt, who’s using it, and—more importantly—should you care? llms.txt is a proposed standard for helping LLMs access and interpret structured content from websites. You can read the full proposal on llmstext.org. In a nutshell, it’s a…Read more ›View the full article

Search engines used to work one-to-one: one search query returned a unique set of results featuring pages that best matched the exact query searched. Then they evolved to many-to-one, recognizing that queries like “Sydney plumber” and “plumbing service in Sydney”…Read more ›View the full article

To answer these questions, we analyzed our database of 146 million SERPs and explored how often AI Overviews appeared for 86 different keyword traits, from YMYL to CPC to query length. Across our data set, AI Overviews appear for 21%…Read more ›View the full article

These are the top 50 countries with the biggest proportion of AI Overviews worldwide. We pulled data from our search index and calculated how many keywords appear in AI Overview queries compared to regular search queries that appear in SERPs…Read more ›View the full article

But, although ChatGPT crawls dozens of pages to answer a single query, according to our research, it only ends up citing ~50% of them. Why does one page get the credit while another, which the AI clearly retrieved, gets nothing?…Read more ›View the full article

Ever since then, the idea of starting another affiliate site and getting serious about it has always been in the back of my mind. I’ve just never had the time due to my day to day work at Ahrefs. But…Read more ›View the full article

Is Grokipedia a serious competitor to Wikipedia, or just a doomed exercise in billionaire hubris? Does Grok bring new value to the table, or just rehash the same old content? Does Grokipedia influence AI search in a similar way to…Read more ›View the full article

Assistants like ChatGPT, Gemini, and Perplexity don’t show fixed results—they generate answers that vary with every run, every model, and every user. “AI rank tracking” is a misnomer—you can’t track AI like you do traditional search. But that doesn’t mean…Read more ›View the full article