Search Engine
The Evolution of Command Based Queries
After the introduction of Generative Engines, we are seeing a new type of query evoluting, which we call “Command Based Query”.
Seeing the rising demand of command based queries we see that legacy search engines have also modified their features. It doesn’t matter, whether it is AI Overviews, AI Mode or Copilot.
You Can Now Choose Your Preferred Sources for Google Top Stories
How to Win in Google Discover: Top SEO Strategies Backed by 200M Articles
Google Discover has quietly become one of the biggest traffic machines on the internet. For many news websites, it now outpaces even traditional Google Search—and the man who’s been decoding it since the beginning is John Shehata, the founder of NewzDash and GD Dash.
In a recent presentation, he broke down how Discover really works and how you can position your content to ride the algorithmic wave.
The Referral Patterns in Newly Introduced AI Mode in Google Search
Google’s AI Mode might be the future of search, but early signs show it works very differently from what we’re used to. Thanks to new data from SimilarWeb and iPullRank, we now have our first glimpse into how users behave when exploring AI-powered search.
Between May 20 and June 19, over 100,000 AI Mode users were tracked across multiple metrics.
Google Introduces Ads in AI Overviews: What It Means for Marketers
Google is now placing ads inside its AI Overviews. Earlier, these ads showed only on mobile. But starting now, desktop users in the U.S. will also see ads directly within AI summaries on Google Search.
This is a big change for marketers using Google Ads. If you run Search, Shopping, or Performance Max campaigns, your ads may now show up in these new spots.
Sergey Brin: AI Can Now Analyze 1,000 Search Results to Deliver Smarter Answers
Google co-founder Sergey Brin recently shared how AI is changing the way we search online. Instead of just showing you links, AI now reads and understands hundreds—even thousands—of search results, and gives you the insights directly.
That’s a game-changer.
How Google Maps Uses User-Generated Content to Build a Safer, Smarter World
Google Maps isn’t just a navigation tool—it’s a dynamic, user-driven platform that reflects the real world in near real-time. Behind every review, photo, and edit is a person contributing to a map that informs billions of decisions daily.
Google’s latest Content Trust & Safety Report gives us a rare look into how much user-generated content fuels Maps, and how the platform maintains quality and safety at scale.
Inside Google’s Ranking Systems: What a DOJ Deposition Just Revealed
A recently published deposition from a Google engineer has given the SEO community something rare: an official glimpse into the inner workings of how Google ranks pages. While heavily redacted, the document—shared as part of the ongoing DOJ antitrust case—outlines several important components of Google’s ranking system, including hand-crafted signals, static page quality scores, and a Chrome-based popularity metric.
This article breaks down what we learned and what it means for marketers and SEOs today.
Google’s Hidden Click Signal: DOJ Docs Reveal Ranking Bias Adjustments
New court documents from the DOJ v. Google antitrust case have revealed a rarely discussed truth about Google’s search rankings: clicks matter, but they’re not treated equally.
Google has long collected data on how often a result is shown versus how often it’s clicked—a signal known internally as Impressions-to-Clicks Ratio. But now we know they also created bias correction mechanisms to avoid overvaluing links just because they were higher up on the page.
Google Is Rebuilding Search From Scratch With LLMs at the Core
In a quiet yet groundbreaking revelation, a DOJ court document has confirmed what many AI observers have speculated: Google is completely rethinking its search stack from the ground up, placing large language models (LLMs) at the center of its future.
Rather than retrofitting AI into its legacy search system, Google is asking a much deeper question: What does search look like when AI isn’t just a layer—but the architecture?