Brute Force SEO Evo 2



A lot of people including reputable webmasters have been down playing Page Rank and aim over to SERP. Is SERP really more important? Is Google giving more weights to SERP now? I will tell you my opinion about it and why they’re still fundamentally equal. Swapw Swapw – Making money smart swapw.blogspot.com



Tags: Page, Rank, SERP




 
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Page Rank vs SERP – Google Ranks | Google Ranks, Google Page Rank …

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Given that you’ve made your final decision to go with various SEO software resources rather than hiring a costly search engine optimization provider, you need to find good quality search engine optimization software that will help you along the journey. That sounds like an easy task but there are some areas to consider when choosing which search engine optimization software tools are going to meet your requirements. Always remember that efficient internet marketing is not complete without some instruction through SEO tools obtainable on the market.

1. A very good sign that search engine optimization software instruments will be really worth it is when they are not way too cheap but not too expensive either. You certainly will wish to invest some money into your business but make sure you are obtaining a unit which is going to provide you with what it pledges. Products that are incredibly low cost could be seen as a good deal but they are probably way too good to be true. These are probably being offered by online marketers which are in business just to earn a buck instead of to offer a legitimate product to buyers.

2. Search for some advice with search engine optimization programs by means of testimonials. Product or service critiques will be amazing at letting you know whether the item is worth your financial commitment. Certainly, you will find a few individuals that rave regarding the product because they are compensated to do this and you may come across some people that provide poor testimonials since they failed to want to place the effort and time into it. Use your intellect when looking at these types of testimonials and be sure to check out an ample amount of them that you think that you’ve obtained a grasp on the system in front of you. Browse the AffiloJetPack review to acquire a good illustration of a review of a well known search engine optimization system.

3. Know more about the people who supply search engine optimization products and solutions. This is often as easy as investing some time on google to be able to know a variety of internet entrepreneurs of which market search engine optimization software programs. Very quickly you will know more about which web marketers tend to be credible and which are not.

Bring the guesswork out of deciding on good search engine optimization software programs and stick to the strategies presented. By utilizing some basic guidance you can place yourself on the fantastic road towards financial accomplishment.

Tagged as: Affiliate Marketing, search engine optimization, Search Rankings, SEO

How To Choose Superior SEO Software Programs

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Choose 4 Me Best Online Article Solution | Rank In Google By The Use Of Visitors SiphonRank In Google By The Use Of Visitors Siphon

An additional upcoming product launch about how to crank out internet site targeted traffic is the Site visitors Siphon byGeorge Brown and Andrew X. Targeted traffic Siphon assessment has been conducted to acquire into consideration on how you can tremendously benefit on using this solution to jumpstart your world wide web advertising and on the internet organizations. It is a properly acknowledged truth that targeted traffic era has always been the initial factors of on the web success. You might have an expertly developed internet site that attributes an superb good quality and amazing goods and companies but with out site site visitors then you will even now stop up a failure. That is why it is critical to continuously discover a variety of and new techniques on how to generate a lot more website visitors; as nicely as transform these viewers and prospects into buyers.

Traffic Siphon review is created to aid you get individuals needed internet site guests in order to get a lot more gross sales of your items and solutions. To make this George Brownish + Andrew X -Visitors Siphon review a lot more reputable, we shall very first bring a seem at the creators of this product or service. George Brownish is a single of the famous gurus on web advertising; possessing manufactured quite a few successes in creating money online. In reality, two of his items had been featured as the #1 Clickbank bestsellers at some level in time. He is amongst the youngest web millionaires; achieving his first million dollars at an early age of only 19 many years old. He shall be sharing some of his secrets and techniques in this product or service.

Traffic Siphon is scheduled to be launched by the 14h of September 2010 until eventually then we are not able to make an in-depth George Brown and Andrew X Targeted traffic Siphon review. However, the aforesaid discussions are useful ample in giving you an overall overview and basic evaluate on this approaching great visitors generation system that geared in direction of supporting other world wide web marketers to turn out to be really successful by producing high high quality site visitors to their sites by way ofGoogle ranking tips.

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Rank In Google By The Use Of Visitors Siphon | Choose 4 Me Best …

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Organizations have been using article marketing substantially to improve their business exposure and sales. The basic principles of article marketing are made up from the writing of short informative supplies associated towards the domain of activity, product or service and their distribution across the world wide web or in printed press. There’s a reference author box or byline in each article that includes a link to the author’s website and information about the company in question. Several conditions need to be met in order for article marketing to become successful.

The articles have to be well-written, informative and useful for that reader.

They should be sent out for totally free in article directories, as part of newsletters, on blogs and forums.

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Work with top ten article directories!

The main objective of article marketing is to increase relevant web traffic, enhance the conversion rate, enhance company credibility and customer commitment.

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The primary problem with article marketing right now would be that the high quality of the published supplies has decreased alarmingly. Many web developers are just thinking about increasing traffic or reaching business exposure. However, low high quality writing has little efficiency on the lengthy run. Proper Internet advertising promotion requires commitment committed to producing relevant supplies that internet viewers discover helpful and enticing.

Another problem with totally free article marketing will be the appearance of a massive quantity of duplicate content material across the Web. The quality from the supplies ought to not be jeopardized for the sake of numerous backlinks, simply because there’s little efficiency in that. A booming traffic could be a temporary state of affairs, and duplicate content material can trigger you much more trouble with search engines than benefits.

The greatest thing under the circumstances is to use article marketing in its purest form and conform with all the quality rules that make content material precious and worth reading. There are lots of materials that may help you with a step-by-step introduction to the tricks of article marketing, and what’s even better is that they’re totally totally free. Don’t think twice to find out more!

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<a href="http://searchengineland.com/bia-kelsey-dms-2010-day3-50924tag:news.google.com,2005:cluster=http://searchengineland.com/bia-kelsey-dms-2010-day3-50924Thu, 16 Sep 2010 13:47:54 GMT 00:00″>Live Blogging BIA/Kelsey's DMS '10 Conference – Day 3

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I want to know that what is an “Anchor Link” and its difference with hyperlink?
and why does it increase a page’s rank in google?

What is an Anchor Link? Why does it increase google ranking?

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Help – I am confused!

For months my site http://www.simplyfreeiphone.co.uk was top of Google’s “Web” and “UK only” searches for the phrase “free iphone”

It is still number 1 for “Web” but the UK ranking has dropped by about six or seven places. This is a UK domain though?

Any ideas why?

Why is Google ranking higher on Web seach than UK search (on UK domain)?

Technorati Tags: google, phrase, uk domain, uk search, web seach

Last week at our annual mozinar, Ben Hendrickson gave a talk on a unique methodology for improving SEO. The reception was overwhelming – I’ve never previously been part of a professional event where thunderous applause broke out not once but multiple times in the midst of a speaker’s remarks.

_ Ben Hendrickson speaking in last Fall at the Distilled/SEOmoz PRO Training London (he’ll be returning this year)_

I doubt I can recreate the energy and excitement of the 320-person filled room that day, but my goal in this post is to help explain the concepts of topic modeling, vector space models as they relate to information retrieval and the work we’ve done on LDA (Latent Dirichlet Allocation). I’ll also try to explain the relationship and potential applications to the practice of SEO.

A Request: Curiously, prior to the release of this post and our research publicly, there have been a number of negative remarks and criticisms from several folks in the search community suggesting that LDA (or topic modeling in general) is definitively not used by the search engines. We think there’s a lot of evidence to suggest engines do use these, but we’d be excited to see contradicting evidence presented. If you have such work, please do publish!

The Search Rankings Pie Chart

Many of us are likely familar with the ranking factors survey SEOmoz conducts every two years (we’ll have another one next year and I expect some exciting/interesting differences). Of course, we know that this aggregation of opinion is likely missing out on many factors and may over or under-emphasize the ones it does show.

Here’s an illustration I created for a presentation recently to help illustrate the major categories in the overall results:

This suggests that many SEOs don’t ascribe much weight to on-page optimization_

I myself have often felt that from all the metrics, tests and observations of Google’s ranking results, the importance of on-page factors like keyword usage or TF*IDF (explained below) is fairly small. Certainly, I’ve not observed many results, even in low competitive spaces, where one can simply add in a few more repetitions of the keyword, maybe toss in a few synonyms or “related searches” and improve rankings. This experience, which many SEOs I’ve talked to share, has led me to believe that linking signals are an overwhelming majority of how the engines order results.

But, I love to be wrong.

Some of the work we’ve been doing around topic modeling, specifically using a process called LDA (Latent Dirichlet Allocation), has shown some surprisingly strong results. This has made me (and I think a lot of the folks who attended Ben’s talk last Tuesday) question whether it was simply a naive application of the concept of “relevancy” or “keyword usage” that gave us this biased perspective.

Why Search Engines Need Topic Modeling

Some queries are very simple – a search for “wikipedia” is non-ambiguous, straightforward and can be effectively returned by even a very basic web search engine. Other searches aren’t nearly as simple. Let’s look at how engines might order two results – a simple problem most of the time that can be somewhat complex depending on the situation.

For complex queries or when relating large quantities of results with lots of content-related signals, search engines need ways to determine the intent of a particular page. Simply because it mentions the keyword 4 or 5 times in prominent places or even mentions similar phrases/synonyms won’t necessarily mean that it’s truly relevant to the searcher’s query.

Historically, lots of SEOs have put effort into this process, so what we’re doing here isn’t revolutionary, and topic models, LDA included, have been around for a long time. However, no one in the field, to our knowledge, has made a topic modeling system public or compared its output with Google rankings (to help see how potentially influential these signals might be). The work Ben presented, and the really exciting bit (IMO), is in those numbers.

Term Vector Spaces & Topic Modeling

Term vector spaces, topic modeling and cosine similarity sound like a tough concepts, and when Ben first mentioned them on stage, a lot of the attendees (myself included) felt a bit lost. However, Ben (along with Will Critchlow, whose Cambridge mathematics degree came in handy) helped explain these to me, and I’ll do my best to replicate that here:

In this imaginary example, every word in the English language is related to either “cat” or “dog,” the only topics available. To measure whether a word is more related to “dog,” we use a vector space model that creates those relationships mathematically. The illustration above does a reasonable job showing our simplistic world. Words like “bigfoot” are perfectly in the middle with no more closeness to “cat” than to “dog.” But words like “canine” and “feline” are clearly closer to one that the other and the degree of the angle in the vector model illustrates this (and gives us a number).

BTW - in an LDA vector space model, topics wouldn’t have exact label associations like “dog” and “cat” but would instead be things like “the vector around the topic of dogs.”

Unfortunately, I can’t really visualize beyond this step, as it relies on taking the simple model above and scaling it to thousands or millions of topics, each of which would have its own dimension (and anyone who’s tried knows that drawing more than 3 dimensions in a blog post is pretty hard). Using this construct, the model can compute the similarity between any word or groups of words and the topics its created. You can learn more about this from Stanford University’s posting of Introduction to Information Retrieval, which has a specific section on Vector Space Models.

Correlation of our LDA Results w/ Google.com Rankings

Over the last 10 months, Ben (with help from other SEOmoz team members) has put together a topic modeling system based on a relatively simple implementation of LDA. While it’s certainly challenging to do this work, we doubt we’re the first SEO-focused organization to do so, though possibly the first to make it publicly available.

When we first started this research, we didn’t know what kind of an input LDA/topic modeling might have on search engines. Thus, on completion, we were pretty excited (maybe even ecstatic) to see the following results:

Correlation Between Google.com Rankings and Various Single Metrics  

(the vertical blue bars indicate standard error in the diagram, which is relatively low thanks to the large sample set)_

Using the same process we did for our release of Google vs. Bing correlation/ranking data at SMX Advanced (we posted much more detail on the process here), we’ve shown the Spearman correlations for a set of metrics familiar to most SEOs against some of the LDA results, including:

• TF*IDF – the classic term weighting formula, TF*IDF measures keyword usage in a more accurate way than a more primitive metric like keyword density. In this case, we just took the TF*IDF score of the page content that appeared in Google’s rankings
• Followed IPs – this is our highest correlated single link-based metric, and shows the number of unique IP addresses hosting a website that contains a followed link to the URL. As we’ve shown in the past, with metrics like Page Authority (which uses machine learning to build more complex ranking models) we can do even better, but it’s valuable in this context to just think and compare raw link numbers.
• LDA Cosine – this is the score produced from the new LDA labs tool. It measures the cosine similarity of topics between a given page or content block and the topics produced by the query.

The correlation with rankings of the LDA scores are uncanny. Certainly, they’re not a perfect correlation, but that shouldn’t be expected given the supposed complexity of Google’s ranking algorithm and the many factors therein. But, seeing LDA scores show this dramatic result made us seriously question whether there was causation at work here (and we hope to do additional research via our ranking models to attempt to show that impact). Perhaps, good links are more likely to point to pages that are more “relevant” via a topic model or some other aspect of Google’s algorithm that we don’t yet understand naturally biases towards these.

However, given that many SEO best practices (e.g. keywords in title tags, static URLs and ) have dramatically lower correlations and the same difficulties proving causation, we suspect a lot of SEO professionals will be deeply interested in trying this approach.

The LDA Labs Tool Now Available; Some Recommendations for Testing & Use

We’ve just recently made the LDA Labs tool available. You can use this to input a word, phrase, chunk of text or an entire page’s content (via the URL input box) along with a desired query (the keyword term/phrase you want to rank for) and the tool will give back a score that represents the cosine similarity in a percentage form (100% = perfect, 0% = no relationship).

When you use the tool, be aware of a few issues:

• Scores Change Slightly with Each Run This is because, like a pollster interviewing 100 voters in a city to get a sense of the local electorate, we check a sample of the topics a content+query combo could fit with (checking every possibility would take an exceptionally long time). You can, therefore, expect the percentage output to flux 1-5% each time you check a page/content block against a query.
• Scores are for English Only Unfortunately, because our topics are built from a corpus of English language documents, we can’t currently provide scores for non-English queries.
• LDA isn’t the Whole Picture Remember that while the average correlation is in the 0.32 range, we shouldn’t expect scores for any given set of search results to go in precisely descending order (a correlation of 1.0 would suggest that behavior).
• The Tool Currently Runs Against Google.com in the US only You should be able to see the same results the tool extracts from by using a personalization-agnostic search string like http://www.google.com/xhtml?q=my+search&pws=0
• Using Synonyms, “Related Searches” or Wonder Wheel Suggestions May Not Help Term vector models are more sophisticated representations of “concepts” and “topics,” so while many SEOs have long recommended using synonyms or adding “related searches” as keywords on their pages and others have suggested the importance of “topically relevant content” there haven’t been great ways to measure these or show their correlation with rankings. The scores you see from the tool will be based on a much less naive interpretation of the connections between words than these classic approaches.
• Scores are Relative (20% might not be bad) Don’t presume that getting a 15% or a 20% is always a terrible result. If the folks ranking in the top 10 all have LDA scores in the 10-20% range, you’re likely doing a reasonable job. Some queries simply won’t produce results that fit remarkably well with given topics (which could be a weakness of our model or a weirdness about the query itself).
• Our Topic Models Don’t Currently Use Phrases Right now, the topics we construct are around single word concepts. We imagine that the search engines have probably gone above and beyond this into topic modeling that leverages multi-word phrases, too, and we hope to get there someday ourselves.
• Keyword Spamming Might Improve Your LDA Score, But Probably Not Your Rankings Like anything else in the SEO world, manipulatively applying the process is probably a terrible idea. Even if this tool worked perfectly to measure keyword relevance and topic modeling in Google, it would be unwise to simply stuff 50 words over and over on your page to get the highest LDA score you could. Quality content that real people actually want to find should be the goal of SEO and Google’s almost certainly sophisticated enough to determine the different between junk content that matches topic models and real content that real users will like (even if the tool’s scoring can’t do that).

If you’re trying to do serious SEO analysis and improvement, my suggested methodology is to build a chart something like this:

SERPs analysis of “SEO” in Google.com w/ Linkscape Metrics + LDA (click for larger)

Right now, you can use Keyword Difficulty’s export function and then add in some of these metrics manually (though in the future, we’re working towards building this type of analysis right into the web app beta).

Once you’ve got a chart like this, you can get a better sense of what’s propping up your competitors rankings – anchor text, domain authority, or maybe something related to topic modeling relevancy (which the LDA tool could help with).

Undoubtedly, Google’s More Sophisticated than This

While the correlations are high, and the excitement around the tool both inside SEOmoz and from a lot of our members and community is equally high, this is not us “reversing the algorithm.” We may have built a great tool for improving the relevancy of your pages and helping to judge whether topic modeling is another component in the rankings, but it remains to be seen if we can simply improve scores on pages and see them rise in the results.

What’s exciting to us isn’t that we’ve found a secret formula (LDA has been written about for years and vector space models have been around for decades), but that we’re making a potentially valuable addition to the parts of SEO we’ve traditionally had little measurement around.

BTW – Thanks to Michael Cottam, who suggested the reference of research work by a number of Googlers on pLDA. There are hundreds of papers from Google and Microsoft (Bing) researchers around LDA-related topics, too, for those interested. Reading through some of these, you can see that major search engines have almost certainly built more advanced models to handle this problem. Our correlation and testing of the tool’s usefulness will show whether a naive implementation can still provide value for optimizing pages.

For those who’d like to investigate more, we’ve made all of our raw data available here (in XLS format, though you’ll need a more sophisticated model to do LDA). If you have interest in digging into this, feel free to email Ben at SEOmoz dot org.

How Do I Explain this to the Boss/Client?

The simplest method I’ve found is to use an analogy like:

If we want to rank well for “the rolling stones” it’s probably a really good idea to use words like “Mick Jagger,” “Keith Richards,” and “tour dates.” It’s also probably not super smart to use words like “rubies,” ”emeralds,” ”gemstones,” or the phrase “gathers no moss,” as these might confuse search engines (and visitors) as to the topic we’re covering.

This tool tries to give a best guess number about how well we’re doing on this front vs. other people on the web (or sample blocks of words or content we might want to try). Hopefully, it can help us figure out when we’ve done something like writing about the Stones but forgetting to mention Keith Richards.

As always, we’re looking forward to your feedback and results. We’ve already had some folks write in to us saying they used the tool to optimize the contents of some pages and seen dramatic rankings boosts. As we know, that might not mean anything about the tool itself or the process, but it certainly has us hoping for great things.

p.s. The next step, obviously, is to produce a tool that can make recommendations on words to add or remove to help improve this score. That’s certainly something we’re looking into.

p.p.s. We’re leaving the Labs LDA tool free for anyone to use for a while, as we’d love to hear what the community thinks of the process and want to get as broad input as possible. Future iterations may be PRO-only.

[ERRATA by Ben (sept 16th, 2:00pm PST): The blog post above reports the correlation measurement as 0.32. It should have been 0.17.]

SEOmoz | Latent Dirichlet Allocation (LDA) and Google's Rankings …

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What exactly is search engine optimization? What are website backlinks? Anyone who has created a website for his or her business needs to be concerned with both of these. Once a website is launched for a business, the owner must find a way to drive traffic to the new site. Simply put, SEO is a process by which a webmaster (basically the person maintaining the website) tries to improve the volume and quality of traffic to the site through the search engines, by way of “organic” search results or unpaid methods.

On-Page vs. Off-Page Search Engine Optimization

Back in the day, “on-page SEO” was good enough for drawing traffic to a new website. Creating a website and submitting it to the major search engines was all it took. With today’s rapid advances in Internet marketing technology this is no longer sufficient. Webmasters must also be concerned with “off-page SEO” in order to drive targeted customers to their websites. Without getting too technical, on-page SEO mainly consists of the following necessary steps which will allow search engine spiders to find and index a website’s pages:

* Keyword Phrases in Description of Website
* Strongly Related to Keywords/Keyword Phrases (especially the landing page of the website)
* “Sprinkled” Throughout the Site’s Pages

In comparison, off-page SEO is now just as important, if not more important, than on-page search engine optimization. Off-page SEO is what all the major search engines, especially Google, will be looking at when rating a website. At the heart of a webmaster’s off-page SEO strategy, should be the acquisition of “backlinks.”

In simplest terms, backlinks are links from one or more websites that link back to another site. In the eyes of the search engines, these links count like “votes” for the other website which in turn will help increase the rankings for that site causing it to show up higher in search results. So it goes without saying, the more websites backlinks get placed on, the higher the ranking achieved.

Researching the top sites for a particular business niche and finding ways to get links placed on those sites will also greatly benefit a website’s ranking with the search engines. It’s like getting an employment reference from the president of a company versus one from a peer/co-worker. Placing links on relevant websites with higher page rankings is key to effective off-page search engine optimization.

The Value of Keywords in Search Engine Optimization

Taking the time to perform keyword research is vital to effective SEO. A webmaster should try to think like an Internet user and come up with a list of possible keywords or better yet, keyword phrases, which relate well to the content of his or her website and that a user may type into the search box. Keyword phrases, or “long-tail” keywords, are better to use because they do not get searched as often and have less competition, making it easier to get a top ranking on those keywords.

There are several free keyword research tools available online: Wordtracker (for free version enter the search term “word tracker free”), Google’s keyword tool, and NicheBot Classic just to name a few. These tools will also make suggestions for alternative or variations of, the selected keywords.

The key to using these tools is to find the relevant keywords or keyword phrases and look for the ones that still get a decent amount of monthly searches (particularly on Google), but for which there is a lower amount of competition.

As an example: the keyword phrase “internet marketing” is searched. The exact choice “internet marketing” gets approximately 134,260 monthly searches but there are also over 26 million competing websites for that keyword phrase. An alternative phrase is “internet marketer” which gets only about 835 monthly searches in comparison but still has over 1.5 million competing websites.

Yet another alternative phrase offered – “internet business marketing” – receives approximately 7,695 searches each month (still a decent amount compared to the exact keyword phrase), but competition for this phrase is only 68,700. Obviously the third choice would be the best for achieving a higher ranking in the search results.

Successful Search Engine Optimization

Successful SEO requires a combination of all of the above strategies in addition to continually providing updated, relevant content on all pages of a website. With the ever-changing formulas used by the search engines to rank a site, it is best to stay abreast of the latest requirements in order to achieve the best possible SEO.

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Search Engine Optimization Guide – Website Backlinks Explained …

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what is a good way to get many backlinks to our site.

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how to get a good backlinks?

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