Why we don't do prompt tracking.
Dejan.ai's app.dejan.ai tracks canonical core entities rather than individual prompts to score brand visibility across Google, OpenAI and Anthropic models, running one fixed probe prompt per entity wi…
Dejan.ai's app.dejan.ai tracks canonical core entities rather than individual prompts to score brand visibility across Google, OpenAI and Anthropic models, running one fixed probe prompt per entity wi…
SEO practitioner Dejan published a reproduction of Google's query fanout research, training a vector-based diffusion model that replaces text fanouts with embeddings for document retrieval and releasi…
Google, Google DeepMind, the University of Maryland, and the University of Virginia published a 2026 technical report describing Dream-RSI, a method that optimizes AI agent search strategies offline b…
Google Research introduced R4T, an RL-trained diffusion retriever that optimizes fan-out query sets for diversity and coverage, achieving 12x to 20x latency speedups over autoregressive language model…
A set of mathematical formulas has been published for evaluating how strongly AI models associate brands with industry verticals, using length-normalized association log-likelihood, softmax choice pro…
Research published in Nature Machine Intelligence found that large language models rely on internal calibrated confidence thresholds to decide whether to output an answer or abstain, with GPT-4o's imp…
A comparison of the 1955 Dartmouth artificial intelligence proposal with the public record as of September 2026 shows that most of the seven proposed problems have seen substantial progress, though se…
Google's Gemini AI in Gmail drafted a fully functional Python script to fine-tune Microsoft's DeBERTa-v3-large model for 3-label sentiment classification, including data loading, training loops, and e…
An e-commerce image optimization method using Google's AI models and vector embeddings iteratively generated and scored product alt text, improving semantic similarity from 59% to 83% over ten attempt…
Nvidia agreed to acquire open-source AI platform Hugging Face for $12.9 billion in August 2026, following a $20 billion acquisition of chipmaker Groq and enterprise analytics platform Kumo, consolidat…
Google will not automatically penalize AI-generated content, as the company evaluates pages based on substance and user behavior signals rather than origin, according to an analysis by Dejan SEO. The …
Promptwatch reported on 10 August 2026 that the share of ChatGPT fanout queries containing the 'site:' operator rose from 0.37% to 16.8% on 8 August, but an independent capture of 196,692 OpenAI fanou…
A 2026 Pew survey found 52% of US adults are more concerned than excited about AI, up from 37% in 2021, and 55% of adults under 30 said the same in June 2026, the first majority in that age group. Exp…
OX Alpha, a mysterious LLM on OpenRouter, has been identified as GLM developed by Z.ai through prompt injection and gzip-NCD compression analysis. The model's system prompt, extracted via a word-count…
The DEJAN Chat Protocol, introduced by an unnamed source, is a set of rules for AI answer engines that prioritizes reducing cognitive load by leading with a direct answer in one sentence and deferring…
Google Research found that frontier AI models, including Gemini-3-Pro and GPT-5, encode 95-98% of brand facts in their neural weights but fail to recall 26-34% of them, indicating the bottleneck is re…
In a 30-day server-log census of dejan.ai's machine-readable files, Google, Anthropic and OpenAI crawlers fetched robots.txt 1,150 times, the OKF content bundle 23 times, and llms.txt 4 times (none fr…
A free 300M model predicts Gemini's embeddings at 0.83 cosine similarity, according to a technical analysis. A single 768×768 linear matrix maps vectors from Google's free, local `embeddinggemma-300m`…
A mechanistic interpretability study found that ablating specific MLP neurons in Google's Gemma 4 model causes it to revert to its dormant Bard identity, with the model answering 'My name is Bard' wit…
Researchers at Google DeepMind found that modifying specific self-attention layers in the 270-million-parameter Gemma language model alters its self-identity and safety responses, causing it to identi…