7. Keyword research. Specific target keywords aren’t as important for SEO success as they used to be, now that Google search is fueled by semantic and contextual understanding, but you should still be able to identify both head keyword (short, high-volume keywords) and long-tail keyword (longer, conversational, low-volume keywords) targets to guide the direction of your campaign.
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To answer your question, David, take a look at Jim’s comment below. Yes, you can and SHOULD optimize PR by directing link equity at important pages and internally linking within a theme. PageRank is a core part of the Google ranking algo. We don’t get visibility into PageRank as a number or score, but you need to know about the concept in order to direct your internal, strategic linking and navigation.

Today, there are many PR Checker tools that you can find on internet. Some of the PageRank checker tools that you will find over internet will be free while some PR Checker tools may require you to register, sign up or install. What makes our Google PageRank checker unique is its user-friendly interface, ease of use and the fact that you can benefit from this amazing PR checker for absolutely free.
Display advertising - As the term infers, Online Display Advertisement deals with showcasing promotional messages or ideas to the consumer on the internet. This includes a wide range of advertisements like advertising blogs, networks, interstitial ads, contextual data, ads on the search engines, classified or dynamic advertisement etc. The method can target specific audience tuning in from different types of locals to view a particular advertisement, the variations can be found as the most productive element of this method.
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Content type: Many search features are tied to the topic of your page. For example, if the page has a recipe or a news article, or contains information about an event or a book. Google Search results can then apply content-specific features such as making your page eligible to appear in a top news stories carousel, a recipe carousel, or an events list.
Google Ads operates on a pay-per-click model, in which users bid on keywords and pay for each click on their advertisements. Every time a search is initiated, Google digs into the pool of Ads advertisers and chooses a set of winners to appear in the valuable ad space on its search results page. The “winners” are chosen based on a combination of factors, including the quality and relevance of their keywords and ad campaigns, as well as the size of their keyword bids.
It’s good to know how you rank both nationally and locally for keywords, but it’s undoubtedly more helpful to get actionable data and insights on how to improve. Moz Pro offers strategic advice on ranking higher, a major benefit to the tool. It also crawls your own site code to find technical issues, which will help search engines understand your site and help you rank higher.
[42] Matteo Pasquinelli reckons the basis for the belief that PageRank has a social component lies in the idea of attention economy. With attention economy, value is placed on products that receive a greater amount of human attention and the results at the top of the PageRank garner a larger amount of focus then those on subsequent pages. The outcomes with the higher PageRank will therefore enter the human consciousness to a larger extent. These ideas can influence decision-making and the actions of the viewer have a direct relation to the PageRank. They possess a higher potential to attract a user’s attention as their location increases the attention economy attached to the site. With this location they can receive more traffic and their online marketplace will have more purchases. The PageRank of these sites allow them to be trusted and they are able to parlay this trust into increased business.
Remember also, that search engine marketing is only one online digital communications tool. For established brands, we commonly see from web analytics that more than half of site visitors arrive at a site, not through search engines, but directly through typing in the web address or following a bookmark (web analytics tools label these as ‘no referrer'). The volume of direct visitors shows the power of branding, PR and offline communications in driving visitor traffic.

A more intelligent surfer that probabilistically hops from page to page depending on the content of the pages and query terms the surfer that it is looking for. This model is based on a query-dependent PageRank score of a page which as the name suggests is also a function of query. When given a multiple-term query, Q={q1,q2,…}, the surfer selects a q according to some probability distribution, P(q) and uses that term to guide its behavior for a large number of steps. It then selects another term according to the distribution to determine its behavior, and so on. The resulting distribution over visited web pages is QD-PageRank.[39]
First, let me explain in more detail why the values shown in the Google toolbar are not the actual PageRank figures. According to the equation, and to the creators of Google, the billions of pages on the web average out to a PageRank of 1.0 per page. So the total PageRank on the web is equal to the number of pages on the web * 1, which equals a lot of PageRank spread around the web.

Informational searches are those in which the user hopes to find information on a given topic, such as Abraham Lincoln. It wouldn’t make much sense to place ads or other types of paid results on a SERP like this, as the search query “Abraham Lincoln” has very low commercial intent; the vast majority of searchers using this search query are not looking to buy something, and as such only informational results are displayed on the SERP.
Search engines may penalize sites they discover using black hat methods, either by reducing their rankings or eliminating their listings from their databases altogether. Such penalties can be applied either automatically by the search engines' algorithms, or by a manual site review. One example was the February 2006 Google removal of both BMW Germany and Ricoh Germany for use of deceptive practices.[53] Both companies, however, quickly apologized, fixed the offending pages, and were restored to Google's list.[54]
Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using metadata to index pages was found to be less than reliable, however, because the webmaster's choice of keywords in the meta tag could potentially be an inaccurate representation of the site's actual content. Inaccurate, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.[10][dubious – discuss] Web content providers also manipulated some attributes within the HTML source of a page in an attempt to rank well in search engines.[11] By 1997, search engine designers recognized that webmasters were making efforts to rank well in their search engine, and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Altavista and Infoseek, adjusted their algorithms to prevent webmasters from manipulating rankings.[12]
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