Excited to launch our FREE Chrome extension that uses Chrome's built in gemini model to do semantic semantic analysis of websites. Extract keywords, score content, find the most relevant "chunk" and more! https://t.co/g7hEYAY2sb
Damn, Google Adsense called my custom sports betting algorithm, https://t.co/jQSf5xUE3l "low value content" - I disagree, I've made a killing with it in sports betting so far.
An important part of our new keyword process is understanding the semantic data behind each ranking (as best as we can of course). We want to understand entity salience, cosine similarity, n-grams, etc... as well as how competitors in the SERPs look. And to do that we use @RyanJones' SERPRecon, a magnificent tool that helps us examine this data at a deeper level.
No offense to Ryan, while we love the tool we only use its output as one of dozens of data points we gather for each important document we're trying to rank.
Did you know @SERP_recon can now compare your site to everybody that's mentioned in ChatGPT answers? It tells you what to do and gives you loads of keyword research based on the AI answer and citations too. Here's what it looks like. I'll share a real report with you: https://t.co/iP7XJIewYN
Did you know @SERP_recon can now compare your site to everybody that's mentioned in ChatGPT answers? It tells you what to do and gives you loads of keyword research based on the AI answer and citations too. Here's what it looks like. I'll share a real report with you: https://t.co/iP7XJIewYN