How Do Users Interact with Predictive (Queryless) Search?

The growth of mobile and the prevalence of personalization data has empowered the growth of proactive search systems, which push out information in a predictive fashion. While reactive search (user enters a query) remains the dominant aspect of search, platforms like Google Now and Microsoft Cortana are increasing the sophistication and frequency in which users interact with …

Read moreHow Do Users Interact with Predictive (Queryless) Search?

How do users interact with SERPs on mobile devices?

As search becomes increasingly mobile, getting closer to being the majority of search visits every month, how we think about user engagement on search results needs to be updated from the old desktop paradigms of the Golden Triangle (which suggest attention sticks to the upper left and decays down and to the right). Mobile search use …

Read moreHow do users interact with SERPs on mobile devices?

Talking Back To Conversational Search

Search is becoming increasingly conversational in nature, and the growth of mobile in search is only perpetuating this trend (and the technology that powers it). This shift in search is fundamentally changing how content is discovered, crawled, indexed, understood, and ranked. To understand where SEO is going next, it’s important to understand some of the …

Read moreTalking Back To Conversational Search

A Better Understanding of Personalized Search

Over the years, search results have become increasingly complex and that trend is likely to continue. The traditional model of 10 blue links and rank checking is no longer accurate as users are receiving results that are increasingly customized to them. As results are becoming more personalized, it’s valuable to better understand how personalized search results are being presented to users.

Read moreA Better Understanding of Personalized Search

How to Visualize Open Site Explorer Data in Gephi

Graph theory is fundamental to most of the work done in SEO and social media. Everything from PageRank, EdgeRank, spam analysis, clustering, and implicit / explicit social graphs are all built on graph theory. Although successful SEO can be executed without ever knowing the difference between a node and an edge, a basic understanding of graph theory can help an SEO make the intellectual leap to better understand how search engines can view and analyze data.

Read moreHow to Visualize Open Site Explorer Data in Gephi

Methods for Evaluating Freshness

To set the stage, yesterday Google announced a new “Freshness” Update, which had an effect on 35% of all queries. Barry wrote a great post about it on Search Engine Land and Rand and Mike followed up with a great Whiteboard Friday documenting some of the early observations from SEOs. But beyond the news of the update, I’d like to look at some of the potential methodologies used by search engines to implement this update.

Read moreMethods for Evaluating Freshness