Black hat SEO attempts to improve rankings in ways that are disapproved of by the search engines, or involve deception. One black hat technique uses hidden text, either as text colored similar to the background, in an invisible div, or positioned off screen. Another method gives a different page depending on whether the page is being requested by a human visitor or a search engine, a technique known as cloaking. Another category sometimes used is grey hat SEO. This is in between black hat and white hat approaches, where the methods employed avoid the site being penalized but do not act in producing the best content for users. Grey hat SEO is entirely focused on improving search engine rankings.
Traditional advertising techniques include print and television advertising. The Internet has already overtaken television as the largest advertising market. Web sites often include the banner or pop-up ads. Social networking sites don't always have ads. In exchange, products have entire pages and are able to interact with users. Television commercials often end with a spokesperson asking viewers to check out the product website for more information. While briefly popular, print ads included QR codes on them. These QR codes can be scanned by cell phones and computers, sending viewers to the product website. Advertising is beginning to move viewers from the traditional outlets to the electronic ones.
Marketers target influential people on social media who are recognised as being opinion leaders and opinion-formers to send messages to their target audiences and amplify the impact of their message. A social media post by an opinion leader can have a much greater impact (via the forwarding of the post or "liking" of the post) than a social media post by a regular user. Marketers have come to the understanding that "consumers are more prone to believe in other individuals" who they trust (Sepp, Liljander, & Gummerus, 2011). OL's and OF's can also send their own messages about products and services they choose (Fill, Hughes, & De Francesco, 2013, p. 216). The reason the opinion leader or formers have such a strong following base is because their opinion is valued or trusted (Clement, Proppe, & Rott, 2007). They can review products and services for their followings, which can be positive or negative towards the brand. OL's and OF's are people who have a social status and because of their personality, beliefs, values etc. have the potential to influence other people (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189). They usually have a large number of followers otherwise known as their reference, membership or aspirational group (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189. By having an OL or OF support a brands product by posting a photo, video or written recommendation on a blog, the following may be influenced and because they trust the OL/OF a high chance of the brand selling more products or creating a following base. Having an OL/OF helps spread word of mouth talk amongst reference groups and/or memberships groups e.g. family, friends, work-friends etc. (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189). The adjusted communication model shows the use of using opinion leaders and opinion formers. The sender/source gives the message to many, many OL's/OF's who pass the message on along with their personal opinion, the receiver (followers/groups) form their own opinion and send their personal message to their group (friends, family etc.) (Dahlen, Lange, & Smith, 2010, p. 39).
Another reason is that if you're using an image as a link, the alt text for that image will be treated similarly to the anchor text of a text link. However, we don't recommend using too many images for links in your site's navigation when text links could serve the same purpose. Lastly, optimizing your image filenames and alt text makes it easier for image search projects like Google Image Search to better understand your images.
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. 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.