In the last year, Google and Bing have both indicated a shift to entity-based search results as part of their evolution. Google has unscored this point with rich snippets and Knowledge Graph, and Bing has now upped the ante on personal search results with Bing Snapshots. Find out how you can adopt strategies to stay ahead of the curve in the new world of semantic search results.
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.[22] 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.
Page and Brin founded Google in 1998.[23] Google attracted a loyal following among the growing number of Internet users, who liked its simple design.[24] 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.[25]

In an evolving mobile-first web, we can utilize pre-empting solutions to create winning value propositions, which are designed to attract and satisfy search engine crawlers and keep consumers happy. I'll outline a strategy and share tactics that help ensure increased organic reach, in addition to highlighting smart ways to view data, intent, consumer choice theory and crawl optimization.

Awesome blog post. But I did not understand the logic behind ghost posts. could you please give more clarifications? Is it like just because the new post was published on the 4th page and not on the top of the feed, Google would give higher rankings?. And is the correlation between SEO & promoting content with facebook ads and getting traffic?. Does Getting social traffic from paid social ads improves the organic rankings?.
All you need to notice from this kind of articles is what I & most of the others newbies focusing on the SEO link-building. I have seen many bloggers spending time on different ways of SEO link building instead of providing the value to the content and its social promotions. You may call it ignoring the Google, but we all know that the Google bot doesn’t ignore anchored dofollow or nofollow backlinks to calculate your PageRank.

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]