-
How do people use AI assistants?
Carried by the inertia of “search query” mentality, AI SEO professionals often oversimplify how people interact with their AI assistants in chat sessions. To help us define the primary interaction types we surveyed the major AI platforms and compiled the following list AI chat type list: Funnel Mode Let’s flip that around and reorganize it…
-
Ricursive: The Most Interesting AI Company You Haven’t Heard Of
There’s a concept in AI that sounds like science fiction but is now being pursued seriously: recursive self-improvement. The idea is simple. Build an AI system that improves the hardware it runs on. Train a better AI on that improved hardware. Use that AI to design even better hardware. Repeat. This isn’t theoretical anymore. Two…
-
Better Vector Clustering With Head Noun Extraction
Let’s do a mental exercise. Glance over the following list and group them in your mind: Most people arrive at the following clustering schema: Socks Laptops Bulldozers blue thermal socks cheap gaming laptops cheap diesel bulldozer cheap ankle socks blue lightweight laptops blue rental bulldozer used cushioned socks used touchscreen laptops blue compact bulldozer cheap…
-
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…
-
BlockRank: A Faster, Smarter Way to Rank Documents with LLMs
Large Language Models (LLMs) have revolutionized many areas of natural language processing, and information retrieval is no exception. A promising new paradigm called In-Context Ranking (ICR) leverages the contextual understanding of LLMs to re-rank a list of candidate documents for a given query. However, this power comes at a cost: the computational complexity of the…
