Search Engine Manifesto FREE Download

“Rank Your Web Pages HIGH in TOP Search Engine Popular
Results For Maximum Exposure!”


Table of Contents :
Search Engines and How They Work 5
Choosing a SEO Company 7
Selecting Search Engine Keywords 10
Increasing Your Search Engine Ranking 13
Building Your Link Popularity 16
Protecting Your Search Engine Rankings 19
Top Search Engines 22



Search Engines and How They Work

Search Engines are special sites on the Web that are designed to help people
find information stored on other sites. There are differences in the ways various
Search Engines work, but they all perform three basic tasks:

They search the Internet – or select pieces of the Internet – based on
important words,

They keep an index of the words they find, and where they find them,

They allow users to look for words or combinations of words found in
that index.

Early Search Engines held an index of a few hundred thousand pages and
documents, and received maybe one or two thousand inquiries each day. Today,
a top Search Engine will index hundreds of millions of pages, and respond to
tens of millions of queries per day.

Before a Search Engine can tell you where a file or document is, it must be
found. To find information on the hundreds of millions of Web pages that exist, a
Search Engine employs special software robots, called spiders, to build lists of
the words found on Web sites.

When a spider is building its lists, the process is called web crawling.
In order to build and maintain a useful list of words, a Search Engine’s spiders
have to look at a lot of pages. How does any spider start its travels over the

The usual starting points are lists of heavily used servers and very popular
pages. The spider will begin with a popular site, indexing the words on its pages
and following every link found within the site. In this way, the spidering system
quickly begins to travel, spreading out across the most widely used portions of
the Web.

Once the spiders have completed the task of finding information on Web pages,
the Search Engine must store the information in a way that makes it useful.
There are two key components involved in making the gathered data accessible
to users:

The information stored with the data, and

The method by which the information is indexed.

In the simplest case, a Search Engine could just store the word and the URL
where it was found. In reality, this would make for an engine of limited use,
since there would be no way of telling whether the word was used in an important
or a trivial way on the page, whether the word was used once or many times or
whether the page contained links to other pages containing the word. In other
words, there would be no way of building the ranking list that tries to present the
most useful pages at the top of the list of search results.

To make for more useful results, most Search Engines store more than just the
word and URL. A Search Engine might store the number of times that the word
appears on a page. The engine might assign a weight to each entry, with
increasing values assigned to words as they appear near the top of the
document, in sub-headings, in links, in the META tags or in the title of the page.
Each commercial Search Engine has a different formula for assigning weight to
the words in its index. This is one of the reasons that a search for the same word
on different Search Engines will produce different lists, with the pages presented
in different orders.
An index has a single purpose: it allows information to be found as quickly as
possible. There are quite a few ways for an index to be built, but one of the most
effective ways is to build a hash table. In hashing, a formula is applied to attach a
numerical value to each word.

The formula is designed to evenly distribute the entries across a predetermined
number of divisions. This numerical distribution is different from the distribution of
words across the alphabet, and that is the key to a hash table’s effectiveness.
When a person requests a search on a keyword or phrase, the Search Engine
software searches the index for relevant information. The software then provides
a report back to the searcher with the most relevant web pages listed first.


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