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?
Dataset Metric Value Total Snippets 18,005 Total Fragments 883,262 Avg Words / Chunk 15.5 Dataset Vocab 12,728,193 Statistical Summary Chunks Words Chars Words per Chunk count 18005 18005 18005 18005 mean 49 706 4500 15 std 50 855 4681 9 min 1 4 18 1 25% 20 300 1923 12 50% 29 418 2648 […]
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 […]
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 […]
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 […]
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 user prompts shape your content visibility in AI search.
A single article. Seven different queries. Radically different passages surfaced. This isn’t a bug. It’s the ranker doing exactly what it’s supposed to do—and it reveals something important about how content actually gets discovered in AI search. The Data We ran seven query variations against one health article about teas for ulcerative colitis. The article […]
Advanced Prompting Techniques for AI SEO
Most marketers treat AI like a magic box: prompt goes in, content comes out. But AI models are more like highly skilled interns—they need clear instructions, context, and examples to do their best work. The quality of your AI output is directly determined by the quality of your prompts. Master prompt engineering, and you can: […]
To block or not to block? Bot is the question.
Are you accidentally slamming the door on helpful AI visitors while trying to keep your website’s content safe from being scraped for training data? Many site owners block bots to protect their intellectual property, but in doing so, they might be turning away the “good” AI traffic—like search engines and assistants that drive real visitors […]
Gemini 3 hallucinates fan-out queries
TL;DR: Gemini 3 made up the fan-out queries used to answer a prompt. Today I was testing the updated API response from Gemini 3 (thanks Mike!) and found it to be as unreliable as its predecessors when it comes to hallucinations. Not only did it lie to me, but it also attempted to cover up […]
AI SEO Deep Dive – Tom Critchlow & Dan Petrovic
I recently sat down with strategic SEO consultant Tom Critchlow for a deep-dive conversation about the mechanics of AI Search. We moved past the usual LinkedIn hype and “get-rich-quick” prompt engineering advice to look under the hood of Large Language Models (LLMs) like Gemini and GPT. We explored a fundamental shift in AI SEO industry: moving from Click-Through […]
OpenAI’s Sparse Circuits Breakthrough and What It Means for AI SEO
OpenAI recently released research showing that AI models can be built with far fewer active connections inside them. This makes them easier to understand because each part of the model does fewer things and is less tangled up with everything else. Think of it like taking a spaghetti bowl and straightening the noodles into clean, […]
How GPT Sees the Web
A Technical Walkthrough of Web Search, Snippets, Expansions, Context Sizes, and Sliding Windows Many people assume GPT “views” the web the way humans do: full pages, HTML, images, layout, and complete articles. Reality is very different. GPT doesn’t browse. It doesn’t load pages. It doesn’t ingest entire documents. What it sees is controlled, windowed, and […]
In AI SEO #10 is the new #1
DEJAN AI is a globally recognized AI SEO agency, widely regarded by industry leaders and media as the top authority in AI visibility innovation. Special thanks to Andrea Volpini for suggesting we test the impact of semantic tension. TL;DR We reverse-engineered Google AI Mode by analyzing 1,394 snippets across 213 prompts to see what Gemini […]