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]
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.
SE Ranking is the best seo platform our company has used so far. The interface of the platform is great & user-friendly. The available options are many. From tracking rankings, monitoring backlinks, keyword research to competitor analysis and website audit, everything we need to optimize our sites is just one click away. Also, for any questions or anything else we needed, the live support team replied & helped me with straight away.
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.
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.

Consider the length of your typical customer buying cycle. If your products and services have a short customer buying cycle, meaning your customers know what they want, search for it, and buy it, you may benefit from SEM ads that put your product right where customers will see it. Longer buying cycles, where customers research and compare for weeks or months, may not perform as well with SEM, as there isn’t an immediate buy after seeing one ad.
Advertiser Disclosure: Some of the products that appear on this site are from companies from which QuinStreet receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. QuinStreet does not include all companies or all types of products available in the marketplace.
Everyone knows intent behind the search matters. In e-commerce, intent is somewhat easy to see. B2B or, better yet, healthcare, isn't quite as easy. Matching persona intent to keywords requires a bit more thought. In this video, we'll cover how to find intent modifiers during keyword research, how to organize those modifiers into the search funnel, and how to quickly find unique universal results at different levels of the search funnel to utilize.
Description meta tags are important because Google might use them as snippets for your pages. Note that we say "might" because Google may choose to use a relevant section of your page's visible text if it does a good job of matching up with a user's query. Adding description meta tags to each of your pages is always a good practice in case Google cannot find a good selection of text to use in the snippet. The Webmaster Central Blog has informative posts on improving snippets with better description meta tags18 and better snippets for your users19. We also have a handy Help Center article on how to create good titles and snippets20.
"I just wanted to let you know that Ben has been so great with us. I know we were picky (to say the least) before/after our new site went live, but Ben was responsive the whole time. He continues to help us out with website stuff and we really appreciate everything he has done! Also, Chris has been wonderful with SEO stuff as well. He has been very helpful with the SEO project and helping me not let things fall through the cracks. You have a great team and we have enjoyed working with them!"
The world is mobile today. Most people are searching on Google using a mobile device. The desktop version of a site might be difficult to view and use on a mobile device. As a result, having a mobile ready site is critical to your online presence. In fact, starting in late 2016, Google has begun experiments to primarily use the mobile version of a site's content42 for ranking, parsing structured data, and generating snippets.
By relying so much on factors such as keyword density which were exclusively within a webmaster's control, early search engines suffered from abuse and ranking manipulation. To provide better results to their users, search engines had to adapt to ensure their results pages showed the most relevant search results, rather than unrelated pages stuffed with numerous keywords by unscrupulous webmasters. This meant moving away from heavy reliance on term density to a more holistic process for scoring semantic signals.[13] Since the success and popularity of a search engine is determined by its ability to produce the most relevant results to any given search, poor quality or irrelevant search results could lead users to find other search sources. Search engines responded by developing more complex ranking algorithms, taking into account additional factors that were more difficult for webmasters to manipulate. In 2005, an annual conference, AIRWeb (Adversarial Information Retrieval on the Web), was created to bring together practitioners and researchers concerned with search engine optimization and related topics.[14]
×