SEO & Organic Search

Algorithm changes, SERP shifts, and the technical SEO work that moves rankings. New analysis weekly from Notice Me Senpai.

Compressed vector grid with magnifying glass scanning hundreds of documents, representing Google search evaluating more pages

Google's TurboQuant Could Let Search Read Hundreds of Pages Per Query Instead of 30

Google published a research paper last week introducing TurboQuant, a compression algorithm that makes vector search dramatically faster and cheaper. The coverage has focused on the technical achievement. The part that matters for anyone doing SEO is what happens when Google can semantically evaluate hundreds of documents per query instead

Collage of SEO data charts and a crossed-out text file, representing the debunked LLMS.txt optimization trend

LLMS.txt Does Not Improve AI Visibility. 300,000 Domains Make That Clear.

The SEO community spent the last year implementing llms.txt files with the conviction that they'd help AI models understand and cite their content more often. SE Ranking just analyzed 300,000 domains and found that the file has zero measurable impact on AI citations. Not a small

Magazine-style collage of a robotic hand browsing a search results page while a human hand reaches for the same screen from the opposite side

Google Just Built a Crawler for AI Agents, Not Humans. SEO Has a New Audience.

Google quietly shipped documentation for a new crawler last week. Not Googlebot. Not the ads crawler. A separate user agent called Google-Agent, designed specifically for AI agents that perform tasks on behalf of users. The documentation describes it as something used to "navigate the web and perform actions upon

Magazine-style collage of search results, AI chat interfaces, and data charts showing diverging SEO and AI citation signals across marketing verticals

AI Citation Signals Are Nothing Like Google Ranking Factors. Here Is the Data.

Most SEO teams are running their Google playbook on AI systems and wondering why it's not translating. I get it. For twenty years, the optimization logic was roughly the same: figure out what the algorithm rewards, do more of that. But a new analysis of 98,000+ citation

Google's Gemini Is Making Up Things About Your Business. There's No Fix Yet.

Somewhere right now, a potential customer is asking Gemini about your company. And there's a decent chance the answer includes something that never happened. A lawsuit you weren't part of. A product recall that was actually your competitor's. A regulatory action that somebody at