In November 2024, with SE Ranking’s research team, we began a 16-month experiment to test how AI-generated content performs in organic search. We launched 20 websites across different niches and tracked their performance over time. But we didn’t stop there. We wanted to look beyond rankings and understand how AI systems discover, interpret, and cite […]
Can a fake brand win in AI search? New experiment says yes Read More »
SEO sits at an interesting crossroads. One camp insists on optimizing for large language models (LLMs) and AI engines, and the other insists on doing SEO the same way we’ve always done it. But there’s another way to approach it: combining the fundamentals of SEO with an understanding of how LLMs operate and why. With
Is there still a long-term game for SEO in AI search? Read More »
Internal linking is one of the most controllable levers in technical SEO. But when tracking parameters are embedded in internal URLs, they introduce inefficiencies across crawling and indexing, analytics, site speed, and even AI retrieval. At scale, this isn’t just a “best practice” issue. It becomes a systemic problem affecting crawl budget, data integrity, and
Why tracking parameters in internal links hurt your SEO and how to fix them Read More »
Misalignment between SEO, product, and engineering has created a system where accountability exists without control, and predictable failures follow. The post SEO Is Filed Under Marketing — That’s The Whole Problem appeared first on Search Engine Journal.
SEO Is Filed Under Marketing — That’s The Whole Problem via @sejournal, @pedrodias Read More »
Break the Protection Paradox by aligning content strategy with how modern search and AI systems discover and surface information. The post How Brands Block AI Crawlers & Then Pay To Get Seen: The Protection Paradox appeared first on Search Engine Journal.
Ranking and visibility are no longer the same thing. For 20 years, SEO teams optimized for SERP position. Higher rankings meant more visibility, more clicks, and more traffic. That relationship is breaking down. Earlier this year, Ahrefs found that only 38% of pages cited in Google AI Overviews also ranked in the traditional top 10.
4 signals that now define visibility in AI search Read More »
Learn three tactics for AEO/GEO, review platform optimization, peer community engagement, and technical validation that inform B2B buyer shortlists of vendors. The post B2B Buyers Choose A Vendor Before They Reach Out – 3 Ways To Be Visible When It Counts appeared first on Search Engine Journal.
The March 2026 core update brought what Google describes as a design “to better surface relevant, satisfying content for searchers from all types of sites.” This confirms the simplest truth in search: people use Google to get answers. Whether it’s solving a problem, learning something new, or making a decision, searchers want content that is genuinely
Searchers just want you to be helpful Read More »
Fact: Agentic AI is making humans indispensable. More than 40% of agentic AI projects will be canceled by the end of 2027. That is a prediction from Gartner published in June 2025, based on a poll of more than 3,400 organizations actively investing in the technology. The reason cited is not that the agents do
Gartner: 40% of agentic AI projects will fail, making humans indispensable by Optimove Read More »
A comparison of 5 AI search engines show they cite different sources but converge on citing brands, a key to SEO for AI search. The post Comparison Of AI Citation Patterns Offers Strategic SEO Insights appeared first on Search Engine Journal.
