Think about the words that a user might search for to find a piece of your content. Users who know a lot about the topic might use different keywords in their search queries than someone who is new to the topic. For example, a long-time football fan might search for [fifa], an acronym for the Fédération Internationale de Football Association, while a new fan might use a more general query like [football playoffs]. Anticipating these differences in search behavior and accounting for them while writing your content (using a good mix of keyword phrases) could produce positive results. Google Ads provides a handy Keyword Planner34 that helps you discover new keyword variations and see the approximate search volume for each keyword. Also, Google Search Console provides you with the top search queries your site appears for and the ones that led the most users to your site in the Performance Report35.
Users will occasionally come to a page that doesn't exist on your site, either by following a broken link or typing in the wrong URL. Having a custom 404 page30 that kindly guides users back to a working page on your site can greatly improve a user's experience. Your 404 page should probably have a link back to your root page and could also provide links to popular or related content on your site. You can use Google Search Console to find the sources of URLs causing "not found" errors31.
All of this plays into a new way businesses and SEO professionals need to think when approaching what keywords to target and what SERP positions to chase. The enterprise SEO platforms are beginning to do this, but the next step in SEO is full-blown content recommendation engines and predictive analytics. By using all of the data you pull from your various SEO tools, Google Search Console, and keyword and trend data from social listening platforms, you can optimize for a given keyword or query before Google does it first. If your keyword research uncovers a high-value keyword or SERP for which Google has not yet monetized the page with a Quick Answer or a Featured Snippet, then pounce on that opportunity.
An SEO expert could probably use a combination of AdWords for the initial data, Google Search Console for website monitoring, and Google Analytics for internal website data. Then the SEO expert can transform and analyze the data using a BI tool. The problem for most business users is that's simply not an effective use of time and resources. These tools exist to take the manual data gathering and granular, piecemeal detective work out of SEO. It's about making a process that's core to modern business success more easily accessible to someone who isn't an SEO consultant or expert.
The Java program is fairly intuitive, with easy-to-navigate tabs. Additionally, you can export any or all of the data into Excel for further analysis. So say you're using Optify, Moz, or RavenSEO to monitor your links or rankings for specific keywords -- you could simply create a .csv file from your spreadsheet, make a few adjustments for the proper formatting, and upload it to those tools.
Optimization techniques are highly tuned to the dominant search engines in the target market. The search engines' market shares vary from market to market, as does competition. In 2003, Danny Sullivan stated that Google represented about 75% of all searches. In markets outside the United States, Google's share is often larger, and Google remains the dominant search engine worldwide as of 2007. As of 2006, Google had an 85–90% market share in Germany. While there were hundreds of SEO firms in the US at that time, there were only about five in Germany. As of June 2008, the market share of Google in the UK was close to 90% according to Hitwise. That market share is achieved in a number of countries.
The terms SEO experts often start with are page authority (PA) and domain authority (DA). DA, a concept in fact coined by Moz, is a 100-point scale that predicts how well a website will rank on search engines. PA is the modern umbrella term for what started as Google's original PageRank algorithm, developed by co-founders Larry Page and Sergey Brin. Google still uses PageRank internally but has gradually stopped supporting the increasingly irrelevant metric, which it now rarely updates. PA is the custom metric each SEO vendor now calculates independently to gauge and rate (again, on a scale of 100) the link structure and authoritative strength of an individual page on any given domain. There is an SEO industry debate as to the validity of PA and DA, and how much influence the PageRank algorithm still holds in Google results (more on that in a bit), but outside of Google's own analytics, they're the most widely accepted metrics out there.
Robots.txt is not an appropriate or effective way of blocking sensitive or confidential material. It only instructs well-behaved crawlers that the pages are not for them, but it does not prevent your server from delivering those pages to a browser that requests them. One reason is that search engines could still reference the URLs you block (showing just the URL, no title or snippet) if there happen to be links to those URLs somewhere on the Internet (like referrer logs). Also, non-compliant or rogue search engines that don't acknowledge the Robots Exclusion Standard could disobey the instructions of your robots.txt. Finally, a curious user could examine the directories or subdirectories in your robots.txt file and guess the URL of the content that you don't want seen.
Over the past year or two, we've also seen Google begin to fundamentally alter how its search algorithm works. Google, as with many of the tech giants, has begun to bill itself as an artificial intelligence (AI) and machine learning (ML) company rather than as a search company. AI tools will provide a way to spot anomalies in search results and collect insights. In essence, Google is changing what it considers its crown jewels. As the company builds ML into its entire product stack, its core search product has begun to behave a lot differently. This is heating up the cat-and-mouse game of SEO and sending the industry chasing after Google once again.
In December 2009, Google announced it would be using the web search history of all its users in order to populate search results. On June 8, 2010 a new web indexing system called Google Caffeine was announced. Designed to allow users to find news results, forum posts and other content much sooner after publishing than before, Google caffeine was a change to the way Google updated its index in order to make things show up quicker on Google than before. According to Carrie Grimes, the software engineer who announced Caffeine for Google, "Caffeine provides 50 percent fresher results for web searches than our last index..." Google Instant, real-time-search, was introduced in late 2010 in an attempt to make search results more timely and relevant. Historically site administrators have spent months or even years optimizing a website to increase search rankings. With the growth in popularity of social media sites and blogs the leading engines made changes to their algorithms to allow fresh content to rank quickly within the search results.
Do you regularly publish helpful, useful articles, videos or other types of media that are popular and well produced? Do you write for actual human beings rather than the search engine itself? Well, you should. Latest research from Searchmetrics on ranking factors indicates that Google is moving further towards longer-form content that understands a visitor’s intention as a whole, instead of using keywords based on popular search queries to create content.
There are three types of crawling, all of which provide useful data. Internet-wide crawlers are for large-scale link indexing. It's a complicated and often expensive process but, as with social listening, the goal is for SEO experts, business analysts, and entrepreneurs to be able to map how websites link to one another and extrapolate larger SEO trends and growth opportunities. Crawling tools generally do this with automated bots continuously scanning the web. As is the case with most of these SEO tools, many businesses use internal reporting features in tandem with integrated business intelligence (BI) tools to identify even deeper data insights. Ahrefs and Majestic are the two clear leaders in this type of crawling. They have invested more than a decade's worth of time and resources, compiling and indexing millions and billions, respectively, of crawled domains and pages.
Many blogging software packages automatically nofollow user comments, but those that don't can most likely be manually edited to do this. This advice also goes for other areas of your site that may involve user-generated content, such as guest books, forums, shout-boards, referrer listings, etc. If you're willing to vouch for links added by third parties (for example, if a commenter is trusted on your site), then there's no need to use nofollow on links; however, linking to sites that Google considers spammy can affect the reputation of your own site. The Webmaster Help Center has more tips on avoiding comment spam40, for example by using CAPTCHAs and turning on comment moderation.
Google is falling into a familiar pattern. First, they offer web publishers increased visibility and SERP display options. Next, they incent participation in specific formats and data structures. Finally, they take that data for themselves, changing the SERPs to favor advertising, their own properties, and/or instant answers that can reduce publisher traffic. For web marketers, it's a prisoner's dilemma. In this presentation, Rand will show data on how Google is being used today, how it's changing, then dive into strategic initiatives and specific examples of how savvy players can build a moat to protect against long-term risk.