-
Bias and Prejudice in AI Search
When Claude Met DEJAN I was helping a developer debug a machine learning pipeline. Forty million training samples, weighted loss functions, checkpoint management — technical work. At some point, they asked me to generate test queries for their keyphrase volume classifier. I needed examples across the search volume spectrum, from high-volume head terms down to…
-
Most People Don’t Read
This is a qualitative study on a small number of anonymized users while collecting a very large number of datapoints from each one. In December 2025, we published an article asking a simple question: Do you read or skim? We tracked 269 visitors using mouse movements, scroll patterns, and time-on-page data, then asked them to…
-
Google’s Trajectory: 2026 and Beyond
AI is shifting from tool to utility. Agentic AI Becomes the Default Interface 2026 prediction: Expect Google Search to become agentic by default. Not “here are 10 links” – more like “I booked the restaurant, here’s the confirmation.” Operator-style functionality baked into Search and Gemini app. Gemini 4 Likely Late 2026 The pattern is clear:…
-
Google’s Ranking Signals
Popularity Popularity signals are derived from user interactions based on ingested user events. The more the users interact with a document, the stronger the boosts are. These data requirements check the overall readiness of your events to generate the popularity signals. This is regardless of the specific search app that you choose. Predicted CTR model…
-
How big are Google’s grounding chunks?
Note: Highlighted bits of this article indicate the parts used to ground Gemini with article title as prompt. Our prior analysis showed that Google doesn’t use your full page content when grounding its Gemini-powered AI systems. Now we have substantially more data to share, specifically around how much content gets selected and what determines that…
-
Google’s AI Uses Schema?
Article updated thanks to a sharp observation from Lukasz Rogala who makes my claim less certain and putting us back in the “needs more evidence category”. There’s some evidence Google uses structured data to ground Gemini in its AI search. If true this is good news for AI SEO people and vindication for schema advocates…
-
Dynamic Visual Layouts
Dynamic visual layout (DVL) is a class of generative user interface which acts as an ephemeral information substrate. For two decades, SEO has been about fitting information into layouts. The blog post template. The product page schema. The FAQ accordion. The listicle format. We optimized content for containers that existed before the content did. Google…
-
Grounding Snippet Extraction Tool
You can rank #1 and still be invisible to AI search. That’s the uncomfortable truth of the AI Mode era. Google’s AI doesn’t just look at your page, it extracts specific sentences, evaluates them against the query, and decides whether your content deserves to ground its answer. The rest of your carefully crafted copy? Find…
-
How Long Are Web Pages?
A Token Count Analysis of 45,000 Real-World URLs We recently analyzed 44,684 web pages and measured their content length using Gemini’s token counter. The results reveal fascinating insights about the true scale of web content—and why it matters for AI applications. Metric Value Total Pages Analyzed 44,684 Page Content Tokens 464,854,727 Total Tokens (all) 541,062,817 The median…
-
Google AI Search Update: Completely New Grounding Format
Gemini’s grounding context has a completely new format which I don’t fully understand yet. It seems custom to different prompt types and breaks outside the old index 1, index 2…etc model. Sharing the discovery for now hoping to hear more from the community and add to it later. Prompt: Dan Petrovic latest articles BEFORE NOW…
