When would this be useful? If your site has a blog with public commenting turned on, links within those comments could pass your reputation to pages that you may not be comfortable vouching for. Blog comment areas on pages are highly susceptible to comment spam. Nofollowing these user-added links ensures that you're not giving your page's hard-earned reputation to a spammy site.
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One thing Google has indicated it likes to do is penalize sites or stores or companies that consistently have poor reviews, so if you have many poor reviews, in time Google is going to figure out not to show your site in their rankings because Google doesn’t want to show those sites to their searchers. So prove to Google’s algorithm that you are trustworthy. Get other highly authoritative websites to link to you. Get newspaper articles, get industry links, get other trusted sites to link to you: partners, vendors, happy customers—get them to link to your website to show that you are highly credible and trustworthy.
Page and Brin founded Google in 1998. Google attracted a loyal following among the growing number of Internet users, who liked its simple design. Off-page factors (such as PageRank and hyperlink analysis) were considered as well as on-page factors (such as keyword frequency, meta tags, headings, links and site structure) to enable Google to avoid the kind of manipulation seen in search engines that only considered on-page factors for their rankings. Although PageRank was more difficult to game, webmasters had already developed link building tools and schemes to influence the Inktomi search engine, and these methods proved similarly applicable to gaming PageRank. Many sites focused on exchanging, buying, and selling links, often on a massive scale. Some of these schemes, or link farms, involved the creation of thousands of sites for the sole purpose of link spamming.
Hi Noya, all the info suggests that dwell time IS taken into account in search ranking, and we know that Google measures time on page and bounce rate in Analytics, too. Plus the search engine gets smarter all the time. With the machine learning component of RankBrain, we wouldn’t be surprised if Google can tell the difference between sites where visitors stick around, bounces where the visitor gets an answer immediately, and bounces where the visitor keeps searching.
Your article reaches me at just the perfect time. I’ve been working on getting back to blogging and have been at it for almost a month now. I’ve been fixing SEO related stuff on my blog and after reading this article (by the way is way too long for one sitting) I’m kind of confused. I’m looking at bloggers like Darren Rowse, Brian Clark, and so many other bloggers who use blogging or their blogs as a platform to educate their readers more than thinking about search rankings (but I’m sure they do).
After the audit has been completed, your team will be invited to a presentation in which your SEO specialist will talk through the findings and recommendations. The Three Deep SEO team will walk you and your team though the roadmap to completion so you know what to expect and when. In addition, you will receive a comprehensive analysis of your site’s health. All of these are customized to you and your specific situation.
An SEO audit should not be rushed. It simply takes time to uncover root causes of the issues affecting your online health. Depending on the size of your site, a proper audit can take anywhere from 2-6 weeks to complete. Due diligence is required when making major changes to any website, and an SEO specialist must conduct a thorough investigation to make accurate, impactful recommendations.
I like the competition analysis tools, it provides paid and organic data, which gives me an idea on how to catch up and outrank the immediate competition for my clients. It also provides data for the potential traffic, which helps show clients the potential gains of the campaign. And with the marketing plan, I know what needs to be improved in order to get results for my clients.
In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links. PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.