Note: This is the third article in my internal link analysis with Python series. This post will use data from the last post, “working with large link graphs,” and use techniques outlined in the first, which introduced link graph analysis with NetworkX. PageRank can be a helpful auditing tool, but by default, it has two limitations. All …
Note: This is the second post in my series on analyzing internal link graphs with Python. If you haven’t read the first post, I recommend reviewing it before continuing. I’m picking up where I left off. While the goal of this post is ultimately graph analysis, the techniques in this post work for data wrangling …
Internal link analysis is a common part of auditing a site for SEO. While our goals may vary, we’re typically trying to understand a URL’s discoverability within a crawl and the distribution of “link value” through the site (and how we may best optimize that distribution). This means exploring the site’s structure, a URL’s depth, …
Earlier this year, Google announced official support for dynamic rendering as a solution for JavaScript-driven websites: serving search bots a server-side rendered (SSR) page, while providing a client-side experience for users. (In truth, many sites have been doing this for years via in-house solutions and services like Prerender.io, but it was great to see Google address that …
Read moreCommon Pitfalls with Dynamic Rendering for JavaScript SEO
Early last year, Google released Suggested Clips as a type of Featured Snippet that appears at the top of SERPS for how-to process queries with visual intent. Unlike traditional video search results, this feature jumps to a specific point in the selected video where the answer to the search query appears. In particular, this feature …
Traditional on-page SEO guidance is to target a primary phrase, its near-related terms, and its longtail variants by using them in the text and placing them in strategic locations on the page (i.e., title, headings, early in content, throughout content). However, writing for Natural Language Processing, or NLP, requires some additional steps and considerations. Managing …
To better understand how the YouTube Search algorithm works, we looked at 3.8 million data points across 100,000 videos and 75,000 channels. Using a keyword sample that contained a variety of named entities (people, places, things, etc.) and questions (how, why, etc.), we checked rankings for the first 20 results and fetched a wide array …
[This blog post is a summary of the first part of a presentation I gave at SearchLove London. You can find the full presentation here.] Too often, Video SEO is simplified to a discussion of video rich snippets, which are the visual markup of video results to include thumbnails and timestamps. This perspective leads to …
Read moreVideo SEO: Ranking Videos in Google Without Rich Snippets
When traffic drops, a common practice is to check Google Search Console to see if rankings have dropped, as well. If they have, the traffic loss is generally attributed to the rankings change. A decline in clicks like this is often attributed to changes in rank position. In some cases, however, the shift in average …
Read moreRank Varies with Search Demand in Google Search Console
To understand more about how JavaScript works, read this post on the Core Principles of SEO for JavaScript. Auditing a page that uses JavaScript to render content is a more manual process than traditional auditing due to a lack of JavaScript support in SEO tools. In this post, I’m going to walk-through how to perform a …