Saturday, August 11, 2018

How alexa analyzes traffic - Increase traffic on your Website and Blog with Shortcut Techniques (Part 8)

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How alexa analyzes traffic

Remember we mentioned that how traffic generating websites send traffic to your website now let us see how alexa interprets traffic.

We carried out a little experiment by making our site submit to Alexa’s paid services. Now you get solid proof of how Alexa sees and analyzes traffic. Here is what alexa shows. Remember in free results it shows very little so most people are not aware of this

Whenever you are generating from other traffic websites you are actually attracting referred traffic and giving Alexa a reason to classify it as machinegenerated traffic.

Read Here How Google analyzes traffic

Did you know?

If you get the same sites to link to your site in the right way, and you’ve optimized your site properly, in time you will outrank your competition on Google for the same given keyword phrase.

Many methods help you determine which sites are linking to the number one result in Google for the keyword phrase you’re targeting. Begin by identifying which site is in the first position for your search term. You can do this by visiting Google and typing in your search term. Record the URL of the number one search result. Once you’ve identified this site, do one of the following:

• Google search. Go to Google.com and type in the following: Link: www.rsplatform.net and press the return key. Then, replace the phrase, “rsplatform” with the name of the site you’ve identified as having the number one position on Google for your search term.

The result will be a series of sites linking to your competitor. The only downside to this method is that you won’t know which sites are more important than others (e.g., the number of links linking into those sites, Google PR, keyword content on pages, etc.), but it will certainly identify the sites you need to target for link-building purposes.

• Alexa. Go to http://www.Alexa.com and type in the name of the site you’re researching. Alexa.com is a tool used to measure the popularity of sites based on the browsing activity of those who have downloaded the Alexa toolbar. Because not everyone uses the Alexa toolbar, the information is only directionally correct but provides a reasonable starting point as well as additional websites you can target with your link-building campaign.

In next tutorial which will be number 8 post of this seris named -

Increase traffic on your Website and Blog with Shortcut Techniques

So my next post will be on - Are you ready to drive out of your comfort zone?

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What are keywords? How to pick up the right SEO Based keywords?

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What are keywords? How to pick up the right SEO Based keywords?

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Most popular search engines - How to rank on search engines within less times

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Most popular search engines - How to rank on search engines within less times

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How google sees traffic and tarck them - Increase traffic on your Website with Shortcut Techniques Part - 6

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How google sees traffic and tarck them

All those people who are still not convinced about how the traffic exchange websites are harming your reputation and enhancing their web position need to read this very carefully.

Read Comple information about Traffic exchange websites Here

( This snapshot was taken from google analytics )

The Best Kind of traffic is from Search Engines. It is clearly marked with Blue Direct Traffic is depicted by green. So this is the second best thing that could happen to your website

Referring Sites are the website which are referred by other websites like traffic exchange websites. The more traffic you are getting from these websites the more damage you are doing to your websites or blog. And I am not talking about good referring websites like Social media and search engines. Search engines have a way to identify traffic exchange websites and they know you are generating fake traffic.

The yellow portion which you see in the circle is of traffic sources which are undetermined. This again is a bad thing and search engines feel that your traffic sources are suspicious that is why you want to hide them.So search engine thinks that you are spaming or doing black hat seo to get more and more traffic.So as they thinks you are taking fake traffics they will not give you a good ranking next time so it will be bad for your site.

Read Complete Tutorial About Black hat seo and you also can get thousands of traffics daily by using black hat seo properly- Link ( read Here )

So in this section we learnt how google sees traffic and we will learn how How alexa analyzes traffic in next section .So keep an eye on this blog

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What are referred and Direct clicks? - Increase traffic on your Website and Blog with Shortcut Techniques [ Part 5 ]

Unknown how to get more traffic , how to get more views

What are referred and Direct clicks

Ok so now we are closer to understanding how search engines are dominating our traffic. Let us see what referred and direct clicks are all about.

Read Full Article and Understand Easily about Search Engines Domination

If you use Google analytics you can clearly see from where your traffic is coming from or what is the source of your traffic. While referred clicks can bring small increase in traffic. Direct clicks bring traffic. According to latest changes in Google and Alexa. They have started identifying fake clicks. Let us understand it with the following figure

What are referred and Direct clicks

As You can clearly see when you are sending traffic through a traffic website to the other user the website is actually getting your click through the traffic website and vice versa. So in both case the actual traffic is generated by the traffic website. It also gives clear ways for the search engines and alexa to see from where the actual traffic is coming.

Some websites announce that they will provide traffic anonymously. That is as bad because they do not reveal their source but it is clear that the traffic is coming from somebody else not you anonymously.

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What are traffic Exchange Websites? - Increase traffic on your Website and Blog with Shortcut Techniques { Part 4 }

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What are traffic Exchange Websites

Traffic Exchanges are simply a brilliant idea in the past and I do not agree with search engines. Just because Traffic exchanges want every visitor to go through their website or more properly search engine does not mean traffic exchanges are bad.

Big Search engines like google say they are websites which generate fake clicks and are harmful.

It seems to me that whatever we have to do in our lives should be through google imagine how many fake clicks we get from google if we give our ad in adwords.

What are traffic Exchange Websites? - Increase traffic on your Website and Blog with Shortcut Techniques { Part 4 }

So are traffic exchanges good ?

No unfortunately they are not unless you have a way to fight with google and other search engines. Advertising in these websites not only harms your reputation in google and alexa but will also get your website penalized from some major search engines.

Did you know?

If you get the same sites to link to your site in the right way, and you’ve optimized your site properly,in time you will outrank your competition on Google for the same given keyword phrase.

We will be seeing

a) What are referred and direct clicks

b) How gogole sees your traffic

c) How alexa Sees your traffic

And finally you have to come out of your comfort zone and take some steps and help from a little tool.

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Why Seo will not work in most cases? - Increase traffic on your Website and Blog with Shortcut Techniques - Part 3

Unknown Affiliate Marketing , google algorithm 2018

Why Seo will not work in most cases

Seo will not work in most cases why? simply because the search engines are making it tough for seo people to optimize websites.

Increase traffic on your Website and Blog with Shortcut Techniques

Even today you need a very solid team or an expert SEO person to make your website or blog rank high. Also these services are getting costlier by each passing day.

One other reason is that search engines constantly change their search algorithms. So maybe you hire an SEO expert and he some how manages to take your website on top for the required keyword. How long do you expect it to remain there?. For all those who still do not agree with me my advice to them is make longer SEO plans and look for companies who offer these plans.

Why search engines change their algorithm

How many times you have heard this “To speak one lie you have to speak another” same thing has happened with search engines. Every time they realize that their perfect and often much praised algorithm is not working properly or perfectly they come out with another.

Goggle Panda:

Well they have brought the panda now you can look for an elephant, lion or tiger. It was brought out in 2011 with an aim to raise some lower ranking websites and to stop the link farms that were going all around.

Now what they will do against social exchanges, traffic exchanges and other type of exchanges well you have guessed it right they will announce a new algorithm.

The working of SEO takes time and lot of patience but if you want some direct traffic to your website it will take time for google to search you and even if you are on the top today you will find it takes less time to fall down then to climb up.

Conclusion

Increasing your ranking on Google and other search engines isn’t complex, but it does take effort. If you want to increase your website ranking on search engine results pages, begin by implementing the on-page optimization and the off-page optimization techniques you’ve learned in this book.One question I seem to get quite often is, “How long does it take?” This is a difficult question to answer because it’s relative. If you’re trying to optimize for a keyword phrase like “eating blueberries on a Sunday afternoon,” it will happen quickly, requiring simple on-page optimization and just a few articles with links back to your website.On the other hand, if you are trying to optimize for a competitive term, and the top-ranked website has hundreds of incoming links, it can take a number of months to reach number one on Google. I can tell you from experience that more often than not, you’ll put in a lot of effort and it will appear as nothing is happening or only small shifts in results are occurring. But stay focused. All of a sudden…wham! Your site will jump up in the search results unexpectedly. Stay the course and I guarantee you’ll see results. Many fail because they give up too soon.Regardless of where you’re starting from, the key is persistence. These are the same techniques I’ve used to achieve top positions on Google for almost every keyword and keyword phrase that is important to my websites. Visualize your goal and take deliberate steps toward improving your search engine result placements daily and before long you will be exactly where you want to be— dominating the world’s largest search engine.

Money Making Strategies

We now have a solid understanding of cloaking, how a search engine works, content generation, software to avoid, software that is pure gold and even link building strategies. So how do you pull all of it together to make some money?

he traffic you send it. You load up your money keyword list, setup a template with your ads or offers, then send all of your doorway/cloaked traffic to the index page. The Landing Page Builder shows the best possible page with ads based on what the incoming user searched for. Couldn't be easier, and it automates the difficult tasks we all hate.

Affiliate Marketing: We all know what an affiliate program is. There are literally tens of thousands of affiliate programs with millions of products to sell. The most difficult part of affiliate marketing is getting well qualified targeted traffic. That again is where good software and cloaking comes into play. Some networks and affiliates allow direct linking. Direct Linking is where you setup your cloaked pages with all of your product keywords, then redirect straight to the merchant or affiliates sales page. This often results in the highest conversion rates, but as I said, some affiliates don't allow Direct Linking. So, again, that's where Landing Pages come in. Either building your own (which we are far too lazy to do), or by using something like Landing Page Builder which automates everything for us. Landing pages give us a place to send and clean our traffic, they also prequalify the buyer and make sure the quality of the traffic sent to the affiliate is as high as possible. After all, we want to make money, but we also want to keep a strong relationship with the affiliate so we can get paid.

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Increase traffic on your Website and Blog with Shortcut Techniques - Part 1 ( Search Engines Dominance )

Unknown get more traffic to your website , how to get more traffic

Search Engines Dominance – Part 1

Google, Yahoo and Bing rule the world of search engines. While google dominates over Yahoo and Bing by covering over 64% of the search engine market.

Google started as a completely free search engine today its services are far and wide. If you look carefully you will find that there are very few people in the world using internet and computers who are not in google’s spell.

Let us not take our discussion off the point and see why search engines dominate the web. For searching anything we go to the web and type keywords these keywords bring search results from the search engines database and shows it to you.

The whole process of SEO revolves around keywords. With searches coming from all over the world it has become more and more difficult to rank high in prominent keywords so a long tail approach in keywords is used to rank well for words that are not very popular but are used still.

Increase traffic on your Website and Blog with Shortcut Techniques - Part 1

What Search Engines like ?

Search engines like google has become very popular and over the time dominant. You may have build the best website or blog but there is no guarantee that you will rank high in google’s search engine unless you spend money on their google adsence or some SEO expert. To rank High on google you need the following

High quality PR Links pointing to your website :

Google believes that you are a good website if your sources are good.

Good Keywords :

You have to select keywords and since people all over the world will be competing against what you think is the right keyword it is very hard to be show in search results.

Amount of Traffic :

If you are not getting traffic then it means your website or blog is not good as search engines prefer websites which are popular.

Social Media :

Now days all search engines look for social reputation that your website or blog has. You should have high links in facebook, twitter and other social websites.

The Problems:

The problems of the search engine approach are many and as soon as you have a built a new website or blog you begin to realize.

It is very hard to rank high for good keywords.

The density of keywords is an important factor.

High PR (Page Rank) websites are very strict and sometimes rude in including your website or blog or they charge money.

There are many false websites who can help you raise your rankings in social media websites but they will make it down as soon as you leave.

Building reputation and SEO takes time.

Search engines can penalize your website if they want for example they do not like affiliate websites.

You cannot generate fake traffic as they will know from which source the traffic is coming from.

They are slowly dominating and dictating ways to us on how to do marketing. Google adwords blocks and does not promote affiliate marketing and look at all the products that they promote on adsence. They have different rules for themselves and for people.

They are also against traffic exchanges where people can generate traffic by exchanging traffic with each other and it is not happy as in the process search engines do not get any traffic but they are very happy when they are getting traffic from us.

In fact search engines feed on data.

In this book you are going to learn how to beat search engines at their own game. How to get direct traffic and what you can do to increase your website or blog’s traffic.

This tutorial is unlike you have ever read I am not against or with any search engine. I lay to you facts as I see them.

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Different ways to Attract traffic - Increase traffic on your Website and Blog with Shortcut Techniques - Part 2

Unknown article marketing , Different ways to Attract traffic

Different ways to Attract traffic –

There are different ways to attract traffic to your website or blog besides search engines.

Increase traffic on your Website and Blog with Shortcut Techniques

Blogs submission:

You can submit your blog to other blogs. It takes time but you can certainly get other bloggers interested.

Forums:

There are different forums and if we exclude the paid ones there are some free forums but again you have to build reputation to post something useful.

Forum submissions

As discussed previously, forum submissions are a great resource for one-way links. Keep in mind that you may need to make a minimum of ten posts before you are allowed to display your signature including links back to your website.

Begin to register and cultivate a number of forums that you can go back to on a monthly basis to add content and display your signature. I suggest anywhere around twenty forum posts per month. The reason is that forum posting, much like blog posting, takes time. If you’re aggressive you could certainly use forum posting much more. I’d shoot for around fifty posts in a month. This is definitely one of those tasks I’d consider outsourcing once you’ve established yourself on some targeted forums for your niche.

Articles:

If you are a good writer then you can really exploit these resources. But if not then you have to get through lot of rules. Like correct grammar, correct spellings, No traffic or affiliate links.

Article Marketing

Article marketing is the practice of writing informational articles within a given subject area and distributing your articles to information-hungry websites across the web. A number of article distribution sites will distribute your articles to webmasters seeking content. This is done by registering with an article directory, adding your article to the relevant category on their site, and submitting it for review.

Once the article has been reviewed and approved, it is posted on their website for webmasters to copy and paste onto their own websites. You leverage this SEO Made Simple method by including a link back to your website in the About the Author section using the proper link text (which includes your keyword phrase[s]).Read more full process here

Traffic Exchange Websites:

This is a good and intelligent way to attract traffic but its implementation is not really good. Traffic exchanges left a lot of loopholes so the result is that they make profit and take away all the traffic giving the user very little and often its users are penalized by the search engines.

These are some simple different ways to make traffic. There can be more ways like link building, search engine submissions, videos, documents, images etc.

Internal Linking

One of the most important on-page optimization opportunities you have is to develop a simple and direct internal linking strategy. Internal linking refers to the linking structure your site uses to link to secondary pages on your website. How you link from one page to another is very important. Many sites significantly improve their rankings based on a strong internal linking strategy.

Internal linking provides direct access to your web pages in order of importance. The best practice for internal linking is to link to your main category pages from your website’s homepage. To illustrate, I’ve created a fictitious website related to clothing.

Link-Building Process

I received literally hundreds of emails asking for more information and more insight into how I handle link building for my own websites and blogs. Based on the information you’ve read so far, you understand the importance of slow and steady link building. In fact, link-building cowboys are out there every day trying to get hundreds or thousands of links to their sites through automated services and shortcuts only to find that Google slaps them with a big penalty— setting their SEO back weeks or even months.Read more full process here

Forum submissions

I know that it can be done but you can take years doing that. Let me tell you of a much clever way in this book but remember you will have to come out of your comfort zone for this system to work out to you.

Often we are so accustomed to the old ways of thinking and habits it takes time to shift.

We will look into it in chapter eight but do not hurry as reading this book will make you understand lot of things.

Let us see why SEO will not work in most cases.

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Increase traffic on your Website and Blog with Shortcut Techniques [ Introduction ]

Unknown get more traffic to your website , how to get more traffic

I always wanted to share an real idea and technique which can help and give power to people who are developing good websites and blogs but without proper knowledge and money to spend they are not getting the right exposure.

This is not a guide about how you can get good positions in search engines by spending some money in fact as the title suggests it is just the opposite It is not about search engines at all and wherever I have tried to use the term I have done it to explain some ideas.

“Increase traffic on your website and blog with short techniques” will explain to you about traffic the way search engines see it. It will give you in depth knowledge about how you can increase your website and blog’s authorization and respect and how with the help of a little tool (free) you can make your website or blog much more popular.

Increase traffic on your Website and Blog with Shortcut Techniques [ Introduction ]

In this Complete Tutorial I am going to talk about those 9 topics by reading them properly you can increase your blog or website traffic

1.Search Engines Dominance

2.Different ways to Attract traffic

3.Why Seo will not work in most cases

4.What are traffic Exchange Websites ?

5.What are referred and Direct clicks ?

6.How google sees traffic

7.How alexa analyzes traffic

8.Are you ready to drive out of your comfort zone

9.Final words

You will be able to learn about all those 9 topics in next 9 posts.Welcome to my new seris named - Increase traffic on your Website and Blog with Shortcut Techniques

This complete Tutorial will be published in 9 posts according with 9 very important discussable things.So Thank You and warm welcome to my Blog

After following those steps i can garanty you that your sites traffic and visitors will go so on and much more traffic you will get directly from google.

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Black Hat SEO Final Course – Learn how to use and protect form black hat SEO

Unknown black hat seo , black hat seo 2018

Black Hat SEO Final Course – Learn how to use and protect

form black hat SEO

Introduction

If you have spent any significant amount of time online, you have likely come across the term Black Hat at one time or another. This term is usually associated with many negative comments. This book is here to address those comments and provide some insight into the real life of a Black Hat SEO professional. To give you some background, my name is Brian. I've been involved in internet marketing for close to 10 years now, the last 7 of which have been dedicated to Black Hat SEO. As we will discuss shortly, you can't be a great Black Hat without first becoming a great White Hat marketer. With the formalities out of the way, lets get into the meat of things, shall we?

What is Black Hat SEO?

black hat seo techniques and strategies 2018

The million dollar question that everyone has an opinion on. What exactly is Black Hat SEO? The answer here depends largely on who you ask. Ask most White Hats and they immediately quote the Google Webmaster Guidelines like a bunch of lemmings. Have you ever really stopped to think about it though? Google publishes those guidelines because they know as well as you and I that they have no way of detecting or preventing what they preach so loudly. They rely on droves of webmasters to blindly repeat everything they say because they are an internet powerhouse and they have everyone brainwashed into believing anything they tell them. This is actually a good thing though. It means that the vast majority of internet marketers and SEO professionals are completely blind to the vast array of tools at their disposal that not only increase traffic to their sites, but also make us all millions in revenue every year.

The second argument you are likely to hear is the age old ,“the search engines will ban your sites if you use Black Hat techniques”. Sure, this is true if you have no understanding of the basic principals or practices. If you jump in with no knowledge you are going to fail. I'll give you the secret though. Ready? Don't use black hat techniques on your White Hat domains. Not directly at least. You aren't going to build doorway or cloaked pages on your money site, that would be idiotic. Instead you buy several throw away domains, build your doorways on those and cloak/redirect the traffic to your money sites. You lose a doorway domain, who cares? Build 10 to replace it. It isn't rocket science, just common sense. A search engine can't possibly penalize you for outside influences that are beyond your control. They can't penalize you for incoming links, nor can they penalize you for sending traffic to your domain from other doorway pages outside of that domain. If they could, I would simply point doorway pages and spam links at my competitors to knock them out of the SERPS. See..... Common sense.

So again, what is Black Hat SEO? In my opinion, Black Hat SEO and White Hat SEO are almost no different. White hat web masters spend time carefully finding link partners to increase rankings for their keywords, Black Hats do the same thing, but we write automated scripts to do it while we sleep. White hat SEO's spend months perfecting the on page SEO of their sites for maximum rankings, black hat SEO's use content generators to spit out thousands of generated pages to see which version works best. Are you starting to see a pattern here? You should, Black Hat SEO and White Hat SEO are one in the same with one key difference. Black Hats are lazy. We like things automated. Have you ever heard the phrase "Work smarter not harder?" We live by those words. Why spend weeks or months building pages only to have Google slap them down with some obscure penalty. If you have spent any time on web master forums you have heard that story time and time again. A web master plays by the rules, does nothing outwardly wrong or evil, yet their site is completely gone from the SERPS (Search Engine Results Pages) one morning for no apparent reason. It's frustrating, we've all been there. Months of work gone and nothing to show for it. I got tired of it as I am sure you are. That's when it came to me. Who elected the search engines the "internet police"? I certainly didn't, so why play by their rules? In the following pages I'm going to show you why the search engines rules make no sense, and further I'm going to discuss how you can use that information to your advantage.

Search Engine 101

As we discussed earlier, every good Black Hat must be a solid White Hat. So, lets start with the fundamentals. This section is going to get technical as we discuss how search engines work and delve into ways to exploit those inner workings. Lets get started, shall we?

Search engines match queries against an index that they create. The index consists of the words in each document, plus pointers to their locations within the documents. This is called an inverted file. A search engine or IR (Information Retrieval) system comprises four essential modules:

∗A document processor

∗A query processor

∗A search and matching function

∗A ranking capability

While users focus on "search," the search and matching function is only one of the four modules. Each of these four modules may cause the expected or unexpected results that consumers get when they use a search engine.

Document Processor

The document processor prepares, processes, and inputs the documents, pages, or sites that users search against. The document processor performs some or all of the following steps: ∗Normalizes the document stream to a predefined format.

∗Breaks the document stream into desired retrievable units.

∗Isolates and meta tags sub document pieces.

∗Identifies potential indexable elements in documents.

∗Deletes stop words.

∗Stems terms.

∗Extracts index entries.

∗Computes weights.

∗Creates and updates the main inverted file against which the search engine searches in order to match queries to documents.

Step 4: Identify elements to index

Identifying potential indexable elements in documents dramatically affects the nature and quality of the document representation that the engine will search against. In designing the system, we must define the word "term." Is it the alpha-numeric characters between blank spaces or punctuation? If so, what about non-compositional phrases (phrases in which the separate words do not convey the meaning of the phrase, like "skunk works" or "hot dog"), multi-word proper names, or inter-word symbols such as hyphens or apostrophes that can denote the difference between "small business men" versus small-business men." Each search engine depends on a set of rules that its document processor must execute to determine what action is to be taken by the "tokenizer," i.e. the software used to define a term suitable for indexing.

Step 5: Deleting stop words

This step helps save system resources by eliminating from further processing, as well as potential matching, those terms that have little value in finding useful documents in response to a customer's query. This step used to matter much more than it does now when memory has become so much cheaper and systems so much faster, but since stop words may comprise up to 40 percent of text words in a document, it still has some significance. A stop word list typically consists of those word classes known to convey little substantive meaning, such as articles (a, the), conjunctions (and, but), interjections (oh, but), prepositions (in, over), pronouns (he, it), and forms of the "to be" verb (is, are). To delete stop words, an algorithm compares index term candidates in the documents against a stop word list and eliminates certain terms from inclusion in the index for searching.

Step 6: Term Stemming

Stemming removes word suffixes, perhaps recursively in layer after layer of processing. The process has two goals. In terms of efficiency, stemming reduces the number of unique words in the index, which in turn reduces the storage space required for the index and speeds up the search process. In terms of effectiveness, stemming improves recall by reducing all forms of the word to a base or stemmed form. For example, if a user asks for analyze, they may also want documents which contain analysis, analyzing, analyzer, analyzes, and analyzed. Therefore, the document processor stems document terms to analy- so that documents which include various forms of analy- will have equal likelihood of being retrieved; this would not occur if the engine only indexed variant forms separately and required the user to enter all. Of course, stemming does have a downside. It may negatively affect precision in that all forms of a stem will match, when, in fact, a successful query for the user would have come from matching only the word form actually used in the query.

Systems may implement either a strong stemming algorithm or a weak stemming algorithm. A strong stemming algorithm will strip off both inflectional suffixes (-s, -es, -ed) and derivational suffixes (-able, aciousness, -ability), while a weak stemming algorithm will strip off only the inflectional suffixes (-s, es, -ed).

Step 7: Extract index entries

Having completed steps 1 through 6, the document processor extracts the remaining entries from the original document. For example, the following paragraph shows the full text sent to a search engine for processing:

Milosevic's comments, carried by the official news agency Tanjug, cast doubt over the governments at the talks, which the international community has called to try to prevent an all-out war in the Serbian province. "President Milosevic said it was well known that Serbia and Yugoslavia were firmly committed to resolving problems in Kosovo, which is an integral part of Serbia, peacefully in Serbia with the participation of the representatives of all ethnic communities," Tanjug said. Milosevic was speaking during a meeting with British Foreign Secretary Robin Cook, who delivered an ultimatum to attend negotiations in a week's time on an autonomy proposal for Kosovo with ethnic Albanian leaders from the province. Cook earlier told a conference that Milosevic had agreed to study the proposal.

Steps 1 to 6 reduce this text for searching to the following:

Milosevic comm carri offic new agen Tanjug cast doubt govern talk interna commun call try prevent all-out war Serb province President Milosevic said well known Serbia Yugoslavia firm commit resolv problem Kosovo integr part Serbia peace Serbia particip representa ethnic commun Tanjug said Milosevic speak meeti British Foreign Secretary Robin Cook deliver ultimat attend negoti week time autonomy propos Kosovo ethnic Alban lead province Cook earl told conference Milosevic agree study propos.

The output of step 7 is then inserted and stored in an inverted file that lists the index entries and an indication of their position and frequency of occurrence. The specific nature of the index entries, however, will vary based on the decision in Step 4 concerning what constitutes an "indexable term." More sophisticated document processors will have phrase recognizers, as well as Named Entity recognizers and Categorizers, to insure index entries such as Milosevic are tagged as a Person and entries such as Yugoslavia and Serbia as Countries.

Step 8: Term weight assignment

Weights are assigned to terms in the index file. The simplest of search engines just assign a binary weight: 1 for presence and 0 for absence. The more sophisticated the search engine, the more complex the weighting scheme. Measuring the frequency of occurrence of a term in the document creates more sophisticated weighting, with length-normalization of frequencies still more sophisticated. Extensive experience in information retrieval research over many years has clearly demonstrated that the optimal weighting comes from use of "tf/idf." This algorithm measures the frequency of occurrence of each term within a document. Then it compares that frequency against the frequency of occurrence in the entire database.

Not all terms are good "discriminators" — that is, all terms do not single out one document from another very well. A simple example would be the word "the." This word appears in too many documents to help distinguish one from another. A less obvious example would be the word

"antibiotic." In a sports database when we compare each document to the database as a whole, the term "antibiotic" would probably be a good discriminator among documents, and therefore would be assigned a high weight. Conversely, in a database devoted to health or medicine, "antibiotic" would probably be a poor discriminator, since it occurs very often. The TF/IDF weighting scheme assigns higher weights to those terms that really distinguish one document from the others.

Query Processor

Query processing has seven possible steps, though a system can cut these steps short and proceed to match the query to the inverted file at any of a number of places during the processing. Document processing shares many steps with query processing. More steps and more documents make the process more expensive for processing in terms of computational resources and responsiveness. However, the longer the wait for results, the higher the quality of results. Thus, search system designers must choose what is most important to their users — time or quality. Publicly available search engines usually choose time over very high quality, having too many documents to search against.

The steps in query processing are as follows (with the option to stop processing and start matching indicated as "Matcher"):

∗Tokenize query terms.

Recognize query terms vs. special operators.

————————> Matcher

∗Delete stop words.

∗Stem words.

∗Create query representation.

————————> Matcher

∗Expand query terms.

∗Compute weights.

-- -- -- -- -- -- -- --> Matcher

Step 1: Tokenizing

As soon as a user inputs a query, the search engine -- whether a keyword-based system or a full natural language processing (NLP) system -- must tokenize the query stream, i.e., break it down into understandable segments. Usually a token is defined as an alpha-numeric string that occurs between white space and/or punctuation.

Step 2: Parsing

Since users may employ special operators in their query, including Boolean, adjacency, or proximity operators, the system needs to parse the query first into query terms and operators. These operators may occur in the form of reserved punctuation (e.g., quotation marks) or reserved terms in specialized format (e.g., AND, OR). In the case of an NLP system, the query processor will recognize the operators implicitly in the language used no matter how the operators might be expressed (e.g., prepositions, conjunctions, ordering).

At this point, a search engine may take the list of query terms and search them against the inverted file. In fact, this is the point at which the majority of publicly available search engines perform the search.

Steps 3 and 4: Stop list and stemming

Some search engines will go further and stop-list and stem the query, similar to the processes described above in the Document Processor section. The stop list might also contain words from commonly occurring querying phrases, such as, "I'd like information about." However, since most publicly available search engines encourage very short queries, as evidenced in the size of query window provided, the engines may drop these two steps.

Step 5: Creating the query

How each particular search engine creates a query representation depends on how the system does its matching. If a statistically based matcher is used, then the query must match the statistical representations of the documents in the system. Good statistical queries should contain many synonyms and other terms in order to create a full representation. If a Boolean matcher is utilized, then the system must create logical sets of the terms connected by AND, OR, or NOT.

An NLP system will recognize single terms, phrases, and Named Entities. If it uses any Boolean logic, it will also recognize the logical operators from Step 2 and create a representation containing logical sets of the terms to be AND'd, OR'd, or NOT'd.

At this point, a search engine may take the query representation and perform the search against the inverted file. More advanced search engines may take two further steps.

Step 6: Query expansion

Since users of search engines usually include only a single statement of their information needs in a query, it becomes highly probable that the information they need may be expressed using synonyms, rather than the exact query terms, in the documents which the search engine searches against. Therefore, more sophisticated systems may expand the query into all possible synonymous terms and perhaps even broader and narrower terms.

This process approaches what search intermediaries did for end users in the earlier days of commercial search systems. Back then, intermediaries might have used the same controlled vocabulary or thesaurus used by the indexers who assigned subject descriptors to documents. Today, resources such as WordNet are generally available, or specialized expansion facilities may take the initial query and enlarge it by adding associated vocabulary.

Step 7: Query term weighting (assuming more than one query term)

The final step in query processing involves computing weights for the terms in the query. Sometimes the user controls this step by indicating either how much to weight each term or simply which term or concept in the query matters most and must appear in each retrieved document to ensure relevance.

Leaving the weighting up to the user is not common, because research has shown that users are not particularly good at determining the relative importance of terms in their queries. They can't make this determination for several reasons. First, they don't know what else exists in the database, and document terms are weighted by being compared to the database as a whole. Second, most users seek information about an unfamiliar subject, so they may not know the correct terminology.

Few search engines implement system-based query weighting, but some do an implicit weighting by treating the first term(s) in a query as having higher significance. The engines use this information to provide a list of documents/pages to the user.

After this final step, the expanded, weighted query is searched against the inverted file of documents.

Search and Matching Function

How systems carry out their search and matching functions differs according to which theoretical model of information retrieval underlies the system's design philosophy. Since making the distinctions between these models goes far beyond the goals of this article, we will only make some broad generalizations in the following description of the search and matching function.

Searching the inverted file for documents meeting the query requirements, referred to simply as "matching," is typically a standard binary search, no matter whether the search ends after the first two, five, or all seven steps of query processing. While the computational processing required for simple, unweighted, non-Boolean query matching is far simpler than when the model is an NLP-based query within a weighted, Boolean model, it also follows that the simpler the document representation, the query representation, and the matching algorithm, the less relevant the results, except for very simple queries, such as one-word, non-ambiguous queries seeking the most generally known information.

Having determined which subset of documents or pages matches the query requirements to some degree, a similarity score is computed between the query and each document/page based on the scoring algorithm used by the system. Scoring algorithms rankings are based on the presence/absence of query term(s), term frequency, tf/idf, Boolean logic fulfillment, or query term weights. Some search engines use scoring algorithms not based on document contents, but rather, on relations among documents or past retrieval history of documents/pages.

After computing the similarity of each document in the subset of documents, the system presents an ordered list to the user. The sophistication of the ordering of the documents again depends on the model the system uses, as well as the richness of the document and query weighting mechanisms. For example, search engines that only require the presence of any alpha-numeric string from the query occurring anywhere, in any order, in a document would produce a very different ranking than one by a search engine that performed linguistically correct phrasing for both document and query representation and that utilized the proven tf/idf weighting scheme.

However the search engine determines rank, the ranked results list goes to the user, who can then simply click and follow the system's internal pointers to the selected document/page.

More sophisticated systems will go even further at this stage and allow the user to provide some relevance feedback or to modify their query based on the results they have seen. If either of these are available, the system will then adjust its query representation to reflect this value-added feedback and re-run the search with the improved query to produce either a new set of documents or a simple reranking of documents from the initial search.

We have discussed how search engines work, but what features of a query make for good matches? Let's look at the key features and consider some pros and cons of their utility in helping to retrieve a good representation of documents/pages.

Term frequency: How frequently a query term appears in a document is one of the most obvious ways of determining a document's relevance to a query. While most often true, several situations can undermine this premise. First, many words have multiple meanings — they are polysemous. Think of words like "pool" or "fire." Many of the non-relevant documents presented to users result from matching the right word, but with the wrong meaning.

Also, in a collection of documents in a particular domain, such as education, common query terms such as "education" or "teaching" are so common and occur so frequently that an engine's ability to distinguish the relevant from the non-relevant in a collection declines sharply. Search engines that don't use a tf/idf weighting algorithm do not appropriately down-weight the overly frequent terms, nor are higher weights assigned to appropriate distinguishing (and less frequently-occurring) terms, e.g., "earlychildhood."

Location of terms: Many search engines give preference to words found in the title or lead paragraph or in the meta data of a document. Some studies show that the location — in which a term occurs in a document or on a page — indicates its significance to the document. Terms occurring in the title of a document or page that match a query term are therefore frequently weighted more heavily than terms occurring in the body of the document. Similarly, query terms occurring in section headings or the first paragraph of a document may be more likely to be relevant.

those referred to by many other pages, or have a high number of "in-links"

Popularity: Google and several other search engines add popularity to link analysis to help determine the relevance or value of pages. Popularity utilizes data on the frequency with which a page is chosen by all users as a means of predicting relevance. While popularity is a good indicator at times, it assumes that the underlying information need remains the same.

Date of Publication: Some search engines assume that the more recent the information is, the more likely that it will be useful or relevant to the user. The engines therefore present results beginning with the most recent to the less current.

Length: While length per se does not necessarily predict relevance, it is a factor when used to compute the relative merit of similar pages. So, in a choice between two documents both containing the same query terms, the document that contains a proportionately higher occurrence of the term relative to the length of the document is assumed more likely to be relevant.

Proximity of query terms: When the terms in a query occur near to each other within a document, it is more likely that the document is relevant to the query than if the terms occur at greater distance. While some search engines do not recognize phrases per se in queries, some search engines clearly rank documents in results higher if the query terms occur adjacent to one another or in closer proximity, as compared to documents in which the terms occur at a distance.

Proper nouns sometimes have higher weights, since so many searches are performed on people, places, or things. While this may be useful, if the search engine assumes that you are searching for a name instead of the same word as a normal everyday term, then the search results may be peculiarly skewed. Imagine getting information on "Madonna," the rock star, when you were looking for pictures of Madonnas for an art history class.

Summary

Now that we have covered how a search engine works, we can discuss methods to take advantage of them. Lets start with content. As you saw in the above pages, search engines are simple test parsers. They take a series of words and try to reduce them to their core meaning. They can't understand text, nor do they have the capability of discerning between grammatically correct text and complete gibberish. This of course will change over time as search engines evolve and the cost of hardware falls, but we black hats will evolve as well always aiming to stay at least one step ahead. Lets discuss the basics of generating content as well as some software used to do so, but first, we need to understand duplicate content. A widely passed around myth on web master forums is that duplicate content is viewed by search engines as a percentage. As long as you stay below the threshold, you pass by penalty free. It's a nice thought, it's just too bad that it is completely wrong.

Duplicate Content

I’ve read seemingly hundreds of forum posts discussing duplicate content, none of which gave the full picture, leaving me with more questions than answers. I decided to spend some time doing research to find out exactly what goes on behind the scenes. Here is what I have discovered.

Most people are under the assumption that duplicate content is looked at on the page level when in fact it is far more complex than that. Simply saying that “by changing 25 percent of the text on a page it is no longer duplicate content” is not a true or accurate statement. Lets examine why that is.

To gain some understanding we need to take a look at the k-shingle algorithm that may or may not be in use by the major search engines (my money is that it is in use). I’ve seen the following used as an example so lets use it here as well.

Let’s suppose that you have a page that contains the following text:

The swift brown fox jumped over the lazy dog.

Before we get to this point the search engine has already stripped all tags and HTML from the page leaving just this plain text behind for us to take a look at.

The shingling algorithm essentially finds word groups within a body of text in order to determine the uniqueness of the text. The first thing they do is strip out all stop words like and, the, of, to. They also strip out all fill words, leaving us only with action words which are considered the core of the content. Once this is done the following “shingles” are created from the above text. (I'm going to include the stop words for simplicity)

The swift brown fox swift brown fox jumped brown fox jumped over fox jumped over the jumped over the lazy over the lazy dog

These are essentially like unique fingerprints that identify this block of text. The search engine can now compare this “fingerprint” to other pages in an attempt to find duplicate content. As duplicates are found a “duplicate content” score is assigned to the page. If too many “fingerprints” match other documents the score becomes high enough that the search engines flag the page as duplicate content thus sending it to supplemental hell or worse deleting it from their index completely.

My old lady swears that she saw the lazy dog jump over the swift brown fox.

The above gives us the following shingles:

my old lady swears old lady swears that lady swears that she swears that she saw that she saw the she saw the lazy saw the lazy dog the lazy dog jump lazy dog jump over dog jump over the jump over the swift over the swift brown the swift brown fox

Comparing these two sets of shingles we can see that only one matches (”the swift brown fox“). Thus it is unlikely that these two documents are duplicates of one another. No one but Google knows what the percentage match must be for these two documents to be considered duplicates, but some thorough testing would sure narrow it down ;).

So what can we take away from the above examples? First and foremost we quickly begin to realize that duplicate content is far more difficult than saying “document A and document B are 50 percent similar”. Second we can see that people adding “stop words” and “filler words” to avoid duplicate content are largely wasting their time. It’s the “action” words that should be the focus. Changing action words without altering the meaning of a body of text may very well be enough to get past these algorithms. Then again there may be other mechanisms at work that we can’t yet see rendering that impossible as well. I suggest experimenting and finding what works for you in your situation.

The last paragraph here is the real important part when generating content. You can't simply add generic stop words here and there and expect to fool anyone. Remember, we're dealing with a computer algorithm here, not some supernatural power. Everything you do should be from the standpoint of a scientist. Think through every decision using logic and reasoning. There is no magic involved in SEO, just raw data and numbers. Always split test and perform controlled experiments.

What Makes A Good Content Generator?

Now we understand how a search engine parses documents on the web, we also understand the intricacies of duplicate content and what it takes to avoid it. Now it is time to check out some basic content generation techniques.

One of the more commonly used text spinners is known as Markov. Markov isn't actually intended for content generation, it's actually something called a Markov Chain which was developed by mathematician Andrey Markov. The algorithm takes each word in a body of content and changes the order based on the algorithm. This produces largely unique text, but it's also typically VERY unreadable. The quality of the output really depends on the quality of the input. The other issue with Markov is the fact that it will likely never pass a human review for readability. If you don't shuffle the Markov chains enough you also run into duplicate content issues because of the nature of shingling as discussed earlier. Some people may be able to get around this by replacing words in the content with synonyms. I personally stopped using Markov back in 2006 or 2007 after developing my own proprietary content engine. Some popular software that uses Markov chains include RSSGM and YAGC both of which are pretty old and outdated at this point. They are worth taking a look at just to understand the fundamentals, but there are FAR better packages out there.

So, we've talked about the old methods of doing things, but this isn't 1999, you can't fool the search engines by simply repeating a keyword over and over in the body of your pages (I wish it were still that easy). So what works today? Now and in the future, LSI is becoming more and more important. LSI stands for Latent Semantic Indexing. It sounds complicated, but it really isn't. LSI is basically just a process by which a search engine can infer the meaning of a page based on the content of that page. For example, lets say they index a page and find words like atomic bomb, Manhattan Project, Germany, and Theory of Relativity. The idea is that the search engine can process those words, find relational data and determine that the page is about Albert Einstein. So, ranking for a keyword phrase is no longer as simple as having content that talks about and repeats the target keyword phrase over and over like the good old days. Now we need to make sure we have other key phrases that the search engine thinks are related to the main key phrase.

So if Markov is easy to detect and LSI is starting to become more important, which software works, and which doesn't?

Software

Fantomaster Shadowmaker: This is probably one of the oldest and most commonly known high end cloaking packages being sold. It's also one of the most out of date. For $3,000.00 you basically get a clunky outdated interface for slowly building HTML pages. I know, I'm being harsh, but I was really let down by this software. The content engine doesn't do anything to address LSI. It simply splices unrelated sentences together from random sources while tossing in your keyword randomly. Unless things change drastically I would avoid this one.

SEC (Search Engine Cloaker):

Another well known paid script. This one is of good quality and with work does provide results. The content engine is mostly manual making you build sentences which are then mixed together for your content. If you understand SEO and have the time to dedicate to creating the content, the pages built last a long time. I do have two complaints. The software is SLOW. It takes days just to setup a few decent pages. That in itself isn't very black hat. Remember, we're lazy! The other gripe is the ip cloaking. Their ip list is terribly out of date only containing a couple thousand ip's as of this writing.

SSEC or Simplified Search Engine Content: This is one of the best IP delivery systems on the market. Their ip list is updated daily and contains close to 30,000 ip's. The member only forums are the best in the industry. The subscription is worth it just for the information contained there. The content engine is also top notch. It's flexible, so you can chose to use their proprietary scraped content system which automatically scrapes search engines for your content, or you can use custom content similar in fashion to SEC above, but faster. You can also mix and match the content sources giving you the ultimate in control. This is the only software as of this writing that takes LSI into account directly from within the content engine. This is also the fastest page builder I have come across. You can easily put together several thousand sites each with hundreds of pages of content in just a few hours. Support is top notch, and the knowledgeable staff really knows what they are talking about. This one gets a gold star from me.

BlogSolution:

Sold as an automated blog builder, BlogSolution falls short in almost every important area. The blogs created are not wordpress blogs, but rather a proprietary blog software specifically written for BlogSolution. This “feature” means your blogs stand out like a sore thumb in the eyes of the search engines. They don't blend in at all leaving footprints all over the place. The licensing limits you to 100 blogs which basically means you can't build enough to make any decent amount of money. The content engine is a joke as well using rss feeds and leaving you with a bunch of easy to detect duplicate content blogs that rank for nothing.

Blog Cloaker:

Another solid offering from the guys that developed SSEC. This is the natural evolution of that software. This mass site builder is based around wordpress blogs. This software is the best in the industry hands down. The interface has the feel of a system developed by real professionals. You have the same content options seen in SSEC, but with several different redirection types including header redirection, JavaScript, meta refresh, and even iframe. This again is an ip cloaking solution with the same industry leading ip list as SSEC. The monthly subscription may seem daunting at first, but the price of admission is worth every penny if you are serious about making money in this industry. It literally does not get any better than this.

Cloaking

So what is cloaking? Cloaking is simply showing different content to different people based on different criteria. Cloaking automatically gets a bad reputation, but that is based mostly on ignorance of how it works. There are many legitimate reasons to Cloak pages. In fact, even Google cloaks. Have you ever visited a web site with your cell phone and been automatically directed to the mobile version of the site? Guess what, that's cloaking. How about web pages that automatically show you information based on your location? Guess what, that's cloaking. So, based on that, we can break cloaking down into two main categories, user agent cloaking and ip based cloaking.

User Agent cloaking is simply a method of showing different pages or different content to visitors based on the user agent string they visit the site with. A user agent is simply an identifier that every web browser and search engine spider sends to a web server when they connect to a page. Above we used the example of a mobile phone. A Nokia cell phone for example will have a user agent similar to: UserAgent: Mozilla/5.0 (SymbianOS/9.1; U; [en]; Series60/3.0 NokiaE60/4.06.0) AppleWebKit/413 ( KHTML, like Gecko) Safari/ 413

Knowing this, we can tell the difference between a mobile phone visiting our page and a regular visitor viewing our page with Internet Explorer or Firefox for example. We can then write a script that will show different information to those users based on their user agent.

Sounds good, doesn't it? Well, it works for basic things like mobile and non mobile versions of pages, but it's also very easy to detect, fool, and circumvent. Firefox for example has a handy plug-in that allows you to change your user agent string to anything you want. Using that plug-in I can make the script think that I am a Google search engine bot, thus rendering your cloaking completely useless. So, what else can we do if user agents are so easy to spoof?

IP Cloaking

Every visitor to your web site must first establish a connection with an ip address. These ip addresses resolve to dns servers which in turn identify the origin of that visitor. Every search engine crawler must identify itself with a unique signature viewable by reverse dns lookup. This means we have a sure fire method for identifying and cloaking based on ip address. This also means that we don't rely on the user agent at all, so there is no way to circumvent ip based cloaking (although some caution must be taken as we will discuss). The most difficult part of ip cloaking is compiling a list of known search engine ip's. Luckily software like Blog Cloaker and SSEC already does this for us. Once we have that information, we can then show different pages to different users based on the ip they visit our page with. For example, I can show a search engine bot a keyword targeted page full of key phrases related to what I want to rank for. When a human visits that same page I can show an ad, or an affiliate product so I can make some money. See the power and potential here?

So how can we detect ip cloaking? Every major search engine maintains a cache of the pages it indexes. This cache is going to contain the page as the search engine bot saw it at indexing time. This means your competition can view your cloaked page by clicking on the cache in the SERPS. That's ok, it's easy to get around that. The use of the meta tag noarchive in your pages forces the search engines to show no cached copy of your page in the search results, so you avoid snooping web masters. The only other method of detection involves ip spoofing, but that is a very difficult and time consuming thing to pull of. Basically you configure a computer to act as if it is using one of Google's ip's when it visits a page. This would allow you to connect as though you were a search engine bot, but the problem here is that the data for the page would be sent to the ip you are spoofing which isn't on your computer, so you are still out of luck.

The lesson here? If you are serious about this, use ip cloaking. It is very difficult to detect and by far the most solid option.

Link Building

As we discussed earlier, Black Hats are Basically White Hats, only lazy! As we build pages, we also need links to get those pages to rank. Lets discuss some common and not so common methods for doing so.

Blog ping: This one is quite old, but still widely used. Blog indexing services setup a protocol in which a web site can send a ping whenever new pages are added to a blog. They can then send over a bot that grabs the page content for indexing and searching, or simply to add as a link in their blog directory. Black Hats exploit this by writing scripts that send out massive numbers of pings to various services in order to entice bots to crawl their pages. This method certainly drives the bots, but in the last couple years it has lost most of its power as far as getting pages to rank.

Trackback: Another method of communication used by blogs, trackbacks are basically a method in which one blog can tell another blog that it has posted something related to or in response to an existing blog post. As a black hat, we see that as an opportunity to inject links to thousands of our own pages by automating the process and sending out trackbacks to as many blogs as we can. Most blogs these days have software in place that greatly limits or even eliminates trackback spam, but it's still a viable tool.

EDU links: A couple years ago Black Hats noticed an odd trend. Universities and government agencies with very high ranking web sites often times have very old message boards they have long forgotten about, but that still have public access. We took advantage of that by posting millions of links to our pages on these abandoned sites. This gave a HUGE boost to rankings and made some very lucky Viagra spammers millions of dollars. The effectiveness of this approach has diminished over time.

Forums and Guest books: The internet contains millions of forums and guest books all ripe for the picking. While most forums are heavily moderated (at least the active ones), that still leaves you with thousands in which you can drop links where no one will likely notice or even care. We're talking about abandoned forums, old guest books, etc. Now, you can get links dropped on active forums as well, but it takes some more creativity. Putting up a post related to the topic on the forum and dropping your link In the BB code for a smiley for example. Software packages like Xrumer made this a VERY popular way to gather back links. So much so that most forums have methods in place to detect and reject these types of links. Some people still use them and are still successful.

Link Networks: Also known as link farms, these have been popular for years. Most are very simplistic in nature. Page A links to page B, page B links to page C, then back to A. These are pretty easy to detect because of the limited range of ip's involved. It doesn't take much processing to figure out that there are only a few people involved with all of the links. So, the key here is to have a very diverse pool of links. Take a look at Link Exchange for example. They have over 300 servers all over the world with thousands of ip's, so it would be almost impossible to detect. A search engine would have to discount links completely in order to filter these links out.

Saturday, August 11, 2018

How alexa analyzes traffic

Did you know?

If you get the same sites to link to your site in the right way, and you’ve optimized your site properly, in time you will outrank your competition on Google for the same given keyword phrase.

So my next post will be on - Are you ready to drive out of your comfort zone?

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What are keywords? How to pick up the right SEO Based keywords?

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Most popular search engines - How to rank on search engines within less times

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Friday, August 10, 2018

How google sees traffic and tarck them

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Thursday, August 9, 2018

What are referred and Direct clicks

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Wednesday, August 8, 2018

What are traffic Exchange Websites

We will be seeing

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Why Seo will not work in most cases

Why search engines change their algorithm

Goggle Panda:

Money Making Strategies

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Search Engines Dominance – Part 1

What Search Engines like ?

High quality PR Links pointing to your website :

Good Keywords :

Amount of Traffic :

Social Media :

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Tuesday, August 7, 2018

Different ways to Attract traffic –

Blogs submission:

You can submit your blog to other blogs. It takes time but you can certainly get other bloggers interested.

Forums:

Forum submissions

Articles:

Article Marketing

Traffic Exchange Websites:

Internal Linking

Link-Building Process

Forum submissions

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Monday, August 6, 2018

In this Complete Tutorial I am going to talk about those 9 topics by reading them properly you can increase your blog or website traffic

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Wednesday, August 1, 2018

Black Hat SEO Final Course – Learn how to use and protect

form black hat SEO

Introduction

What is Black Hat SEO?

Document Processor

Query Processor

What Makes A Good Content Generator?

Software

Money Making Strategies

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