Father, Husband, SEO, Content Marketing, Chess, Balasevic, Serbedzija, Djokovic, Messi, Barcelona, ManUtd, Football, Tennis...
Not necessarily in that order :-)
I keep losing track of our tools and demos so I made a list: https://t.co/DHamqBtZcI
Algoroo
Tree Walker
Brand Relevance
AI Rank
LinkBERT
Auxy
Citation Mining
Query Deserves Grounding [Google]
Query Deserves Grounding [OpenAI]
AI Content Detection
Query Fanout Generator
Typosquatting Checker
Content Substance Classifier
AI Flux
Google Brand and Intent Detection
Penguin – Link Optimization Tool
Chunk Norris
Google Entity Search
Brand AI Sentiment
Gemini Token Probabilities
Model Optimization Loss Landscape
Cosine Similarity Visualisation
(I probably forgot something.)
If your page was one of the search results supplied to Google’s AI, would it be selected as one of the grounding sources in its final response? https://t.co/cEQJiTzJjz
My thoughts about a fair and healthy web content ecosystem where publishers get micropayments when AI grounds its responses in their content.
https://t.co/PYoaA5oZjm
LLMs do not crawl the web, do not maintain indexes, and do not enforce ranking algorithms at internet scale. They operate as presentation and reasoning layers on top of the classic information retrieval (IR) pipeline.
The recent paper Why Language Models Hallucinate (Kalai, Nachum, Vempala, Zhang, 2025) shows why this distinction matters: LLMs inevitably hallucinate due to statistical limits and evaluation incentives. Without grounding in real retrieval systems, they cannot provide reliable search.
https://t.co/Ppkd2Y8bLx
we're shipping a powerful ai visibility competitive intelligence feature in https://t.co/HGbUoKfXdj after testing it with the first round of users, if you're interested in trying it out please message me and I'll enable it for your account
https://t.co/HGbUoKfXdj is a free ai visibility tracking tool with thousands of users and 1,200,000 tracked entities from gpt, gemini and perplexity and we don't do millions of prompts or synthetic chat sessions and instead rely on structured bi-directional model probing:
Brand-to-Entity (B→E): “List ten things that you associate with a brand called [Brand Name].” This reveals the concepts and entities most strongly linked to the brand.
Entity-to-Brand (E→B): “List ten brands that you associate with [Entity/Keyword].” This identifies competitors and reveals the brands most strongly associated with a specific concept.
https://t.co/iMT0A6mcyg
AI Rank Feature Update - Tidy Charts
Link: https://t.co/CuKfm8NXQ9
1. Entity canonicalisation
2. Weekly view default after 14 days
3. Shows top 10 entities by frequency
4. AI Visibility tab now with vertical bar graphs
I want to give a big shout out to my guy @dejanseo who was my anonymous source for the algo docs leak.
He found them weeks before us and even got a Google Bug Bounty for turning the leak in.
Here's his story in own words:
https://t.co/9VAeLbkCc1
A COMEBACK FOR THE AGES!!!!
Novak Djokovic saves a match point to defeat Alcaraz in a three-set thriller!
39th Masters 1000 title & 3rd #CincyTennis 🏆
If you're not a developer, are wary of #coding, and are hoping #AI tools will coach you through a code-heavy #dataviz project, then read these 8 pointers from @dejanseo, who used GPT-4 to make a pub map along the Tour de France. #OpenAI#ChatGPT#GPT4
https://t.co/elK0rxqWmj