2015 Web Search Optimization

A web search engine or Internet search engine is a software system that is designed to carry out web search (Internet search), which means to search the World Wide Web in a systematic way for particular information specified in a web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). The information may be a mix of web pages, images, videos, infographics, articles, research papers and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories, which are maintained only by human editors, search engines also maintain real-time information by running an algorithm on a web crawler. Internet content that is not capable of being searched by a web search engine is generally described as the deep web. 

I was browsing a wikipedia page this morning when I wanted to get more information about what SEO (search engine optimization) is all about.

The article grape my interest, so I decided to take that page and inserted it into Google Key Word Planner.

I found out something very interesting. It gave me a series of other keywords Related to SEO.

Here they are web search optimization, internet search optimization, website search Engine optimization, search marketing optimization, search and optimization.

When I tried to google those keywords, I found out no one has written a post addressing those exact keywords.

Now the SEO industry is a very large and competitive industry on the internet.

Ranking for keywords like seo, search engine optimization, backlinks, how to build backlinks, keyword research is mission impossible.

But you will find out that people searching for these keywords web search optimization, internet search optimization, website search Engine optimization, search marketing optimization, search and optimization.

Are looking for thesame information as those searching for seo, search engine optimization, backlinks, how to build backlinks, keyword research.

That is where this article 2015 Web Search Optimization comes in.

Now if you start a blog or website, and want to go into some seo, this is what everyone will tell you.

- build backlinks

- make blog comments

- submit articles to article directory

- submit videos to video directories

- submit files to file directories

- submit your blog to blog directories

- do keyword research

- create profiles on social media sites

- do guest bogging which I recently heard has a penalty now on google and so many bloggers are no more accepting guest post

Internet search engines themselves predate the debut of the Web in December 1990. The Who is user search dates back to 1982 and the Knowbot Information Service multi-network user search was first implemented in 1989. The first well documented search engine that searched content files, namely FTP files was Archie, which debuted on 10 September 1990.
Prior to September 1993, the World Wide Web was entirely indexed by hand. There was a list of webservers edited by Tim Berners-Lee and hosted on the CERN webserver. One snapshot of the list in 1992 remains, but as more and more web servers went online the central list could no longer keep up. On the NCSA site, new servers were announced under the title "What's New!"
The first tool used for searching content (as opposed to users) on the Internet was Archie. The name stands for "archive" without the "v". It was created by Alan Emtage, Bill Heelan and J. Peter Deutsch, computer science students at McGill University in Montreal, Quebec, Canada. The program downloaded the directory listings of all the files located on public anonymous FTP (File Transfer Protocol) sites, creating a searchable database of file names; however, Archie Search Engine did not index the contents of these sites since the amount of data was so limited it could be readily searched manually.
The rise of Gopher (created in 1991 by Mark McCahill at the University of Minnesota) led to two new search programs, Veronica and Jughead. Like Archie, they searched the file names and titles stored in Gopher index systems. Veronica (Very Easy Rodent-Oriented Net-wide Index to Computerized Archives) provided a keyword search of most Gopher menu titles in the entire Gopher listings. Jughead (Jonzy's Universal Gopher Hierarchy Excavation And Display) was a tool for obtaining menu information from specific Gopher servers. While the name of the search engine "Archie Search Engine" was not a reference to the Archie comic book series, "Veronica" and "Jughead" are characters in the series, thus referencing their predecessor.
In the summer of 1993, no search engine existed for the web, though numerous specialized catalogues were maintained by hand. Oscar Nierstrasz at the University of Geneva wrote a series of Perl scripts that periodically mirrored these pages and rewrote them into a standard format. This formed the basis for W3Catalog, the web's first primitive search engine, released on September 2, 1993.
In June 1993, Matthew Gray, then at MIT, produced what was probably the first web robot, the Perl-based World Wide Web Wanderer, and used it to generate an index called 'Wandex'. The purpose of the Wanderer was to measure the size of the World Wide Web, which it did until late 1995. The web's second search engine Aliweb appeared in November 1993. Aliweb did not use a web robot, but instead depended on being notified by website administrators of the existence at each site of an index file in a particular format.
JumpStation (created in December 1993 by Jonathon Fletcher) used a web robot to find web pages and to build its index, and used a web form as the interface to its query program. It was thus the first WWW resource-discovery tool to combine the three essential features of a web search engine (crawling, indexing, and searching) as described below. Because of the limited resources available on the platform it ran on, its indexing and hence searching were limited to the titles and headings found in the web pages the crawler encountered.
One of the first "all text" crawler-based search engines was WebCrawler, which came out in 1994. Unlike its predecessors, it allowed users to search for any word in any webpage, which has become the standard for all major search engines since. It was also the search engine that was widely known by the public. Also in 1994, Lycos (which started at Carnegie Mellon University) was launched and became a major commercial endeavor.
Soon after, many search engines appeared and vied for popularity. These included Magellan, Excite, Infoseek, Inktomi, Northern Light, and AltaVista. Yahoo! was among the most popular ways for people to find web pages of interest, but its search function operated on its web directory, rather than its full-text copies of web pages. Information seekers could also browse the directory instead of doing a keyword-based search.
In 1996, Netscape was looking to give a single search engine an exclusive deal as the featured search engine on Netscape's web browser. There was so much interest that instead Netscape struck deals with five of the major search engines: for $5 million a year, each search engine would be in rotation on the Netscape search engine page. The five engines were Yahoo!, Magellan, Lycos, Infoseek, and Excite.
Google adopted the idea of selling search terms in 1998, from a small search engine company named goto.com. This move had a significant effect on the SE business, which went from struggling to one of the most profitable businesses in the Internet.
Search engines were also known as some of the brightest stars in the Internet investing frenzy that occurred in the late 1990s. Several companies entered the market spectacularly, receiving record gains during their initial public offerings. Some have taken down their public search engine, and are marketing enterprise-only editions, such as Northern Light. Many search engine companies were caught up in the dot-com bubble, a speculation-driven market boom that peaked in 1999 and ended in 2001.

• Around 2000, Google's search engine rose to prominence. The company achieved better results for many searches with an innovation called PageRank, as was explained in the paper Anatomy of a Search Engine written by Sergey Brin and Larry Page, the later founders of Google. This iterative algorithm ranks web pages based on the number and PageRank of other web sites and pages that link there, on the premise that good or desirable pages are linked to more than others. Google also maintained a minimalist interface to its search engine. In contrast, many of its competitors embedded a search engine in a web portal. In fact, Google search engine became so popular that spoof engines emerged such as Mystery Seeker.

By 2000, Yahoo! was providing search services based on Inktomi's search engine. Yahoo! acquired Inktomi in 2002, and Overture (which owned AlltheWeb and AltaVista) in 2003. Yahoo! switched to Google's search engine until 2004, when it launched its own search engine based on the combined technologies of its acquisitions.
Microsoft first launched MSN Search in the fall of 1998 using search results from Inktomi. In early 1999 the site began to display listings from Looksmart, blended with results from Inktomi. For a short time in 1999, MSN Search used results from AltaVista instead. In 2004, Microsoft began a transition to its own search technology, powered by its own web crawler (called msnbot).
Microsoft's rebranded search engine, Bing, was launched on June 1, 2009. On July 29, 2009, Yahoo! and Microsoft finalized a deal in which Yahoo! Search would be powered by Microsoft Bing technology.
As of 2018, active search engine crawlers include that of Google, Bing, Gigablast, Mojeek, Baidu and Yandex.

Approach

Main article: Search engine technology

A search engine maintains the following processes in near real time:

1. Web crawling
2. Indexing
3. Searching

Web search engines get their information by web crawling from site to site. The "spider" checks for the standard filename robots.txt, addressed to it, before sending certain information back to be indexed depending on many factors, such as the titles, page content, JavaScript, Cascading Style Sheets (CSS), headings, as evidenced by the standard HTML markup of the informational content, or its metadata in HTML meta tags. "[N]o web crawler may actually crawl the entire reachable web. Due to infinite websites, spider traps, spam, and other exigencies of the real web, crawlers instead apply a crawl policy to determine when the crawling of a site should be deemed sufficient. Some sites are crawled exhaustively, while others are crawled only partially".
Indexing means associating words and other definable tokens found on web pages to their domain names and HTML-based fields. The associations are made in a public database, made available for web search queries. A query from a user can be a single word. The index helps find information relating to the query as quickly as possible. Some of the techniques for indexing, and caching are trade secrets, whereas web crawling is a straightforward process of visiting all sites on a systematic basis.
Between visits by the spider, the cached version of page (some or all the content needed to render it) stored in the search engine working memory is quickly sent to an inquirer. If a visit is overdue, the search engine can just act as a web proxy instead. In this case the page may differ from the search terms indexed. The cached page holds the appearance of the version whose words were indexed, so a cached version of a page can be useful to the web site when the actual page has been lost, but this problem is also considered a mild form of linkrot.


Typically when a user enters a query into a search engine it is a few keywords. The index already has the names of the sites containing the keywords, and these are instantly obtained from the index. The real processing load is in generating the web pages that are the search results list: Every page in the entire list must be weighted according to information in the indexes. Then the top search result item requires the lookup, reconstruction, and markup of the snippets showing the context of the keywords matched. These are only part of the processing each search results web page requires, and further pages (next to the top) require more of this post processing.
Beyond simple keyword lookups, search engines offer their own GUI- or command-driven operators and search parameters to refine the search results. These provide the necessary controls for the user engaged in the feedback loop users create by filtering and weighting while refining the search results, given the initial pages of the first search results. For example, from 2007 the Google.com search engine has allowed one to filter by date by clicking "Show search tools" in the leftmost column of the initial search results page, and then selecting the desired date range. It's also possible to weight by date because each page has a modification time. Most search engines support the use of the boolean operators AND, OR and NOT to help end users refine the search query. Boolean operators are for literal searches that allow the user to refine and extend the terms of the search. The engine looks for the words or phrases exactly as entered. Some search engines provide an advanced feature called proximity search, which allows users to define the distance between keywords. There is also concept-based searching where the research involves using statistical analysis on pages containing the words or phrases you search for. As well, natural language queries allow the user to type a question in the same form one would ask it to a human. A site like this would be ask.com.
The usefulness of a search engine depends on the relevance of the result set it gives back. While there may be millions of web pages that include a particular word or phrase, some pages may be more relevant, popular, or authoritative than others. Most search engines employ methods to rank the results to provide the "best" results first. How a search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another. The methods also change over time as Internet usage changes and new techniques evolve. There are two main types of search engine that have evolved: one is a system of predefined and hierarchically ordered keywords that humans have programmed extensively. The other is a system that generates an "inverted index" by analyzing texts it locates. This first form relies much more heavily on the computer itself to do the bulk of the work.
Most Web search engines are commercial ventures supported by advertising revenue and thus some of them allow advertisers to have their listings ranked higher in search results for a fee. Search engines that do not accept money for their search results make money by running search related ads alongside the regular search engine results. The search engines make money every time someone clicks on one of these ads.

All of the above methods to get your blog or website recognise by search engines is the right approach to online marketing.

But what if you do all these and at the end of the day you see 2 people visiting your blog or website?

That sounds frustrating right?

The internet these days has become wild, even stars are now on facebook and large companies are taking the first page of google because they have the money to spend on ads.

Let's come to you, you want to start your little home garden blog or website.

How do you go around the mad rush for internet traffic?

Go on wikipedia or any other site that provides well edited information like wikipedia, take that link and insert it into Google Key Word Planner and it will provide you with long tail keywords.

You will find out that non of your big guns competitors are ranking for these keywords.

You will see their post but not with exactly those keywords.

Write well detailed information addressing these keywords.

You will be surprise as to the results you will get with little backlinks.

Now I am operating a Christian blog called The New Life In Christ and a game blog called Game world.

what I am doing with these keywords web search optimization, internet search optimization, website search Engine optimization, search marketing optimization, search and optimization.

East Asia and Russia

In some East Asian countries and Russia, Google is not the most popular search engine.
In Russia, Yandex commands a marketshare of 61.9 percent, compared to Google's 28.3 percent. In China, Baidu is the most popular search engine. South Korea's homegrown search portal, Naver, is used for 70 percent of online searches in the country. Yahoo! Japan and Yahoo! Taiwan are the most popular avenues for Internet searches in Japan and Taiwan, respectively.

Europe

Most countries' markets in Western Europe are dominated by Google, except for Czech Republic, where Seznam is a strong competitor.

Search engine bias

Although search engines are programmed to rank websites based on some combination of their popularity and relevancy, empirical studies indicate various political, economic, and social biases in the information they provide and the underlying assumptions about the technology. These biases can be a direct result of economic and commercial processes (e.g., companies that advertise with a search engine can become also more popular in its organic search results), and political processes (e.g., the removal of search results to comply with local laws). For example, Google will not surface certain neo-Nazi websites in France and Germany, where Holocaust denial is illegal.
Biases can also be a result of social processes, as search engine algorithms are frequently designed to exclude non-normative viewpoints in favor of more "popular" results. Indexing algorithms of major search engines skew towards coverage of U.S.-based sites, rather than websites from non-U.S. countries.
Google Bombing is one example of an attempt to manipulate search results for political, social or commercial reasons.
Several scholars have studied the cultural changes triggered by search engines, and the representation of certain controversial topics in their results, such as terrorism in Ireland, climate change denial, and conspiracy theories.

Customized results and filter bubbles

Many search engines such as Google and Bing provide customized results based on the user's activity history. This leads to an effect that has been called a filter bubble. The term describes a phenomenon in which websites use algorithms to selectively guess what information a user would like to see, based on information about the user (such as location, past click behaviour and search history). As a result, websites tend to show only information that agrees with the user's past viewpoint. This puts the user in a state of intellectual isolation without contrary information. Prime examples are Google's personalized search results and Facebook's personalized news stream. According to Eli Pariser, who coined the term, users get less exposure to conflicting viewpoints and are isolated intellectually in their own informational bubble. Pariser related an example in which one user searched Google for "BP" and got investment news about British Petroleum while another searcher got information about the Deepwater Horizon oil spill and that the two search results pages were "strikingly different". The bubble effect may have negative implications for civic discourse, according to Pariser. Since this problem has been identified, competing search engines have emerged that seek to avoid this problem by not tracking or "bubbling" users, such as DuckDuckGo. Other scholars do not share Pariser's view, finding the evidence in support of his thesis unconvincing.

Christian, Islamic and Jewish search engines

The global growth of the Internet and electronic media in the Arab and Muslim World during the last decade has encouraged Islamic adherents in the Middle East and Asian sub-continent, to attempt their own search engines, their own filtered search portals that would enable users to perform safe searches. More than usual safe search filters, these Islamic web portals categorizing websites into being either "halal" or "haram", based on modern, expert, interpretation of the "Law of Islam". ImHalal came online in September 2011. Halalgoogling came online in July 2013. These use haram filters on the collections from Google and Bing (and others).
While lack of investment and slow pace in technologies in the Muslim World has hindered progress and thwarted success of an Islamic search engine, targeting as the main consumers Islamic adherents, projects like Muxlim, a Muslim lifestyle site, did receive millions of dollars from investors like Rite Internet Ventures, and it also faltered. Other religion-oriented search engines are Jewogle, the Jewish version of Google, and SeekFind.org, which is Christian. SeekFind filters sites that attack or degrade their faith.

Search engine submission

Web search engine submission is a process in which a webmaster submits a website directly to a search engine. While search engine submission is sometimes presented as a way to promote a website, it generally is not necessary because the major search engines use web crawlers, that will eventually find most web sites on the Internet without assistance. They can either submit one web page at a time, or they can submit the entire site using a sitemap, but it is normally only necessary to submit the home page of a web site as search engines are able to crawl a well designed website. There are two remaining reasons to submit a web site or web page to a search engine: to add an entirely new web site without waiting for a search engine to discover it, and to have a web site's record updated after a substantial redesign.
Some search engine submission software not only submits websites to multiple search engines, but also add links to websites from their own pages. This could appear helpful in increasing a website's ranking, because external links are one of the most important factors determining a website's ranking. However, John Mueller of Google has stated that this "can lead to a tremendous number of unnatural links for your site" with a negative impact on site ranking.

I will call this section the power of niche ideas.

To start a blog or website is not the problem.

Nowadays everyone can do that.

With blogger, wordpress, and even some free website options everyone can go online and create them a website or blog.

So what make the difference?

You want to get readers and some expertise right?

Let's try to come into some deep History so you get the point.

Do you remember what happened in Europe years ago when Germany started a world war?

Do you remember what took place in Africa when slaves where scattered around the world?

What about South Africa?

I recently read an article that most of them fled to Australia.

Now these people get sometimes dead hungry of home.

Home food, drinks, activities, cultural meetings...

I am a typical example of this experience.

I live in Germany.

I left Cameroon October 2010.

2014 I was seek of home food.

I remember browsing on google searching for any place with the food receipt Fofo and Ero.

At the end of the day I could not find any.

Do you know what I would have been willing to pay if I laid my hands on any restaurant offering that receipt.

Where do you live, learn the culture, find out what people out of that Country, city, even village, might be missing from home.

Come up with some well written post about those things you know the people will love to see again.

Give out most of them for free.

Then to get a little compensation for your intelligence and hard work.

Rape a few in a pdf file and sell them for some little dollars.

Head straight to click bank.

There you will have an option to sell that document.

You might even get other people to help you promote that product

Known a affiliates.

There you go, you have become an employer overnight reading an article on the internet

How fun is that?

People will buy them, trust me on this one.

I do some studies.

I have found out people making 50, 000 dollars doing something that little.

What have you found, on the internet, any where, organise these items, so people don't see you as a kid, create a blog or website, and watch the magic happen.

I am someone who have been on the internet for some time now, since 2011 to be précised.

So I know what is going on.

I could sell this information and make some money.

But sometimes it is not about the money but the trust and loyalty that is why I will give you what I know free of charge.

People are spending millions on the internet.

To do advertisement.

Especially on facebook.

But they also do this on other social medai platforms, news sites, article directories.

Everyone is teaching them how to do their advertisement on facebook.

Best ad ideas, best ad size, best ad colour.

No one has taken the time to see those that do their advertisement out of facebook.

Search other ad platforms.

Search what the people are asking.

See into their frustration and confusion as to the results they get after spending allot of money and with very poor results.

Go into that ad platform.

Do some serious research.

See what the people love.

Best ad sizes,

Best ad colours.

Possible mistakes and solutions,

The Do's and the don't Do's.

Come out with post addressing these situations.

And Publishers will love you and some might even hire you to do their ad campaign for them.

If you are lucky you get hired by a large company and your dreams come through just like that.

If you ask me I am no best man there are people also teaching me like Glen, Neil, Brian.

These are very successful bloggers.

So you can see I also learn.

So if you want to go into some online marketing and think you can do it alone from your IT studies in the university of Oxford then you have it all wrong.

Have you ever heard the saying ''when you go to Rome do what the Romans do''

Why I am saying that, I do not care if you have a PhD in Biomedical science.

If you come on the internet, you have to become a child again to be thought by the rough guys who know what is going on, on the internet.

Let's try to round up on this.

Do you have an idea to take your home flower ideas to the next level?

Have you decided to create a blog or a website on that?

Let no one discourage you.

Do that,

Who knows maybe you get hired by Obama to do his home gardening for him.

Great success begins with a humble beginning.

Don't ignore people, reply to their comments, help them promote their content if they have something trustworthy to read.

Don't be shy say the truth ''men love looking at half naked girls''.

That's it you want to listen then listen you don't what to listen then listen.

To end this, where did this all idea started?

Wikipedia with the following set of keywords web search optimization, internet search optimization, website search Engine optimization, search marketing optimization, search and optimization.

No one in a large industry like seo is paying any attention to.

How did you find this? hit me up @ mbuwilliams@gmail.com