How to fix the SEO issues that keep you from achieving your goals
Effective SEO requires a holistic approach. JR Oakes deep-dives into his approach from his session at SMX Report.
JR Oakes is the senior director of technical SEO research at Locomotive. He was formerly director of technical SEO at the Adapt Partners agency. He works with clients on a wide range of fronts including technical issues, performance, CTR, crawl-ability, content, and data analysis. JR loves testing, coding, and prototyping solutions to difficult search marketing problems. When he isn’t working, he enjoys reading about emerging technologies, playing bass guitar, watching college basketball, cooking and spending time with his friends and family. He is also one of the co-organizers of the Raleigh SEO Meetup, Raleigh SEO Conference, and RTP SEO Meetup.
Brand reputation and the impact of Google SERP selections
How Google treats company navigational brand searches and the impact they can have on consumer perceptions.
Using the Apriori algorithm and BERT embeddings to visualize change in search console rankings
By leveraging the Apriori algorithm, we can categorize queries from GSC, aggregate PoP click data by category and use BERT embeddings to find semantically related categories.
Measuring the quality of popular keyword research tools
Contributor JR Oakes measures the quality of popular keyword research tools against data found in Google search results and performing page data from Google Search Console.
Common Search: The open source project bringing back PageRank
Columnist JR Oakes explains Common Search, a great open source tool for understanding how search engines work, which has a hidden gem for those of us who miss checking our PageRank score.
Using word vectors and applying them in SEO
Contributor JR Oakes takes look at technology from the natural language processing and machine-learning community to see if it's useful for SEO.
Data exploration from: An experiment in trying to predict Google rankings
Contributor JR Oakes shares a deep dive into 500,000 search results for transactional service industry queries from 200 of the largest cities in America.
An experiment in trying to predict Google rankings
In late 2015, JR Oakes and his colleagues undertook an experiment to attempt to predict Google ranking for a given webpage using machine learning. What follows are their findings, which they wanted to share with the SEO community.