For search engine optimization purposes, some companies offer to sell high PageRank links to webmasters. As links from higher-PR pages are believed to be more valuable, they tend to be more expensive. It can be an effective and viable marketing strategy to buy link advertisements on content pages of quality and relevant sites to drive traffic and increase a webmaster's link popularity. However, Google has publicly warned webmasters that if they are or were discovered to be selling links for the purpose of conferring PageRank and reputation, their links will be devalued (ignored in the calculation of other pages' PageRanks). The practice of buying and selling links is intensely debated across the Webmaster community. Google advises webmasters to use the nofollow HTML attribute value on sponsored links. According to Matt Cutts, Google is concerned about webmasters who try to game the system, and thereby reduce the quality and relevance of Google search results.
Now, some buckets are worth more than others, and the three main buckets that you need to be aware of for search rankings are quality, trust and authority. So quality: what Google is trying to measure when they’re trying to figure out what sites should rank is offering something valuable or unique or interesting to googles searchers. For example: good content - if you are selling t-shirts and you are using the same description that every other t-shirt seller is using on their website then you are not offering anything unique to Google’s searchers. Even though your t-shirts might look pretty cool, the content is the same as everybody else’s, so Google has no way of telling that your t-shirts or your t-shirt site is better than anybody else’s. Instead, offer people interesting content. For example: offer them the ability to personalize their t-shirt. Give them information on how to wash it. What’s the thread count? Is it stain resistant? Is this something you should wear in the summer or is it more heavy for winter? Give people information, or even be more creative. Get people to share pictures of themselves wearing the t-shirt. Create a community of people who are interested in your product. Get a famous person to wear it and share that picture online. Do something different, do something unique. Show Google that you are different and better than the other search results.
A PageRank results from a mathematical algorithm based on the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs such as cnn.com or usa.gov. The rank value indicates an importance of a particular page. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself.
Universal results are Google’s method of incorporating results from its other vertical columns, like Google Images and Google News, into the search results. A common example of universal results are Google’s featured snippets, which deliver an answer in a box at the top of the page, so users ideally don’t have to click into any organic results. Image results and news results are other examples.
Search Network with Display Opt-In – This targeting option is a combination of both networks. In the new AdWords experience this replaced Search Network with Display Select. Now you’ll create a regular Search Network campaign and opt-in to the Display Network. The caveat is that Google determines when and where ads may perform best, taking control away from the advertiser. The preferred option is to break out campaigns by network, but Search with Display Opt-In is worth testing.
Building on site authority and trust (off-site optimization) is one of the most critical search engine ranking signals. Search engines measure the popularity, trust and authority of your website by the amount and quality of websites that are linking to your site. We work with our clients to develop an SEO strategy which stimulates link acquisition organically and supplements those strategies with additional services. Our content / editorial marketing finds the highest quality websites that are relevant to your business, and where you are positioned organically on authoritative and trusted site.
PageRank was developed by Google founders Larry Page and Sergey Brin at Stanford. In fact the name. PageRank is a likely play on Larry Page's name. At the time that Page and Brin met, early search engines typically linked to pages that had the highest keyword density, which meant people could game the system by repeating the same phrase over and over to attract higher search page results. Sometimes web designers would even put hidden text on pages to repeat phrases.
Search results are presented in an ordered list, and the higher up on that list a site can get, the more traffic the site will tend to receive. For example, for a typical search query, the number one result will receive 40-60% of the total traffic for that query, with the number two and three results receiving significantly less traffic. Only 2-3% of users click beyond the first page of search results.
For example, suppose you're a law firm targeting the phrase "divorce attorney" with a broad match ad. Your ad should appear on the results page for the search query "divorce attorney," but it could also show up for the phrases "reasons for divorce," "dui attorney" or "dealing with divorce for children." In these cases, you may be wasting money on irrelevant searches.
Webmasters and content providers began optimizing websites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all webmasters needed only to submit the address of a page, or URL, to the various engines which would send a "spider" to "crawl" that page, extract links to other pages from it, and return information found on the page to be indexed. The process involves a search engine spider downloading a page and storing it on the search engine's own server. A second program, known as an indexer, extracts information about the page, such as the words it contains, where they are located, and any weight for specific words, as well as all links the page contains. All of this information is then placed into a scheduler for crawling at a later date.