Is App Indexing Coming to iOS?

App indexing has the ability to dramatically change the way we engage with search, but, unfortunately, it has been limited to Android apps since launch. However, it looks like that may be changing soon.

Annotations for iOS App Indexing Appearing on The Web

Today I’m seeing examples of possible iOS app indexing annotations appearing up on the web, which may allow Apple iPhone apps to appear directly in search results.

By |February 4th, 2015|

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 cases and device features change the way users distribute their attention on a search result page. Not only does this change CTR curves for mobile, […]

By |December 16th, 2014|

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 underlying changes in how search works and how we can take advantage of it.


By |November 17th, 2014|

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. […]

By |June 24th, 2013|

How Does Google Authorship Impact CTR?

At the end of last week, some discussion on Hacker News started after a post claimed that Authorship created a 90% drop in traffic. Later, Matt Cutts jumped in to note that it was Penguin and not Authorship that caused the drop.

I thought it would be useful to talk about how social annotation is changing user behavior.


By |June 3rd, 2013|

Google Domain Clustering Update?

A week ago, Matt Cutts posted a video discussing what SEOs could expect in the coming months. One of the mentioned updates was around host or domain clustering / crowding. I think some type of domain crowding update went out, starting last night. Hat tip to Jason Mun for noticing.


By |May 21st, 2013|

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.


By |May 16th, 2012|

Entity Search Results

Entities. They’re nothing new in SEO, but over the last year, I’ve been ruminating on how moving into entities should fundamentally be changing the way most of us are still thinking about SEO.

To start, let’s first step back and look at the history of the algorithms.

Moving from Pages to Entities

In the early years of the post-Google era, the link graph was focused on page to page hyperlink citations, which lead to work in PageRank, TrustRank, HITS, SpamRank, anchor text, etc. Over time, this continued to domain level analysis, where pages were clumped together and the processes were applied on the domain level. I think this was the first step into entity specific search (with domains being the simplest entity to understand).


By |January 10th, 2012|

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.


By |November 4th, 2011|

Phrase Based Indexing and Semantics

Google sometimes does phrase matching even if the search query isn’t in quotes. They’ll also include words that are traditionally considered search operators and stop words if it’s part of a popular phrase. It seems Google is getting increasingly better at understanding language.

Understanding how Google indexes and uses a phrase based analysis of language, and semantic analysis of these terms, can help you better understand on-site targeting and link building.


By |October 11th, 2011|