WDTalk

I read a ton of articles, threads and posts from SEO experts everyday. Why?

Because just like everyone else, I want to increase sales online. For years, SEO practitioners preached a mix of link this and content that, or touted banner advertisements or AdSense ads. Since the onset of search engines, techniques to outwit them to rank higher in Search Engine Results Pages (SERPS) have basically evolved beyond simply obtaining backlinks, providing lots of content or optimizing keywords and meta tags.

FREE versus Paid Traffic

Organic traffic is traffic you receive from free click-throughs in search engines (not sponsored) – the higher your site ranks, the more traffic you receive, thus higher revenues on the backside. Paid traffic would be traffic obtained via banner ads or programs like AdSense. Bottom line to increase profits – reduce overhead – increase productivity. So how do you make your website more productive without forking out a ton of money on paid advertising?

Google Algorithms Put to the Test
For years, I’ve been reading about how complex Google algorithms were. We’ve witnessed a number of cycles or shifts in how Google analyzes and ranks sites, but if you tie in Google’s history of acquisitions and free tools, their core emphasis (today) lies within three (3) PRIMARY variables – all driven by human activity. Much like Bing, they’ve transitioned from being a search engine to being a decision engine.

So What is this ‘FREE Traffic” Big Secret?
I can’t tell you the number of times I’ve seen the phrase, “Content is King” or “Content is King Kong.” I’ve said this myself in a past life. The real KING today is Organic Search Traffic!! Think about this for a second. What does paid advertising get you – a position on a page with the expectation that being seen at the top of that page will result in a click through to your site.

Viewing Patterns Take Center Stage
Numerous studies have been conducted by leading SEO firms to determine viewing patterns and projected click through patterns over the years. Going back to the early 2000’s, banner advertising worked very well, drawing over a 30% click through rate. When banner advertising fell out of favor, the trend evolved to link building, but a ton of black hat SEO strategies forced Google to revise their algorithms.

So what do today’s viewing patterns tell us about paid ads?
Very simply that organic traffic is growing and paid is declining. Here’s a question for you – when you do a search query on Google, do you read the sponsored ads at the top of the page or the ads on the side bar? Studies have shown that those viewers who do read them is on the decline. Consider this – sponsored ads were only drawing 5% of the click throughs in their prime, and even less now. So where are the other 95% of the click throughs occurring?

The answer is in Google’s organic listings – the FREE ones!! Banner Ads don’t even register and sponsored ads aren’t much better. Currently, paid listings that appear above the organic listings receive only 2 to 3 percent of the available clicks with those on the side receiving a paltry 1 to 2 percent. To verify this, you simply have to use Google’s own internal Traffic Estimator Tool.

Organic Traffic is KING
Not only is organic traffic FREE, but it also receives the majority of all traffic. The first organic listing receives over 40% of the available traffic, while the second, or number two, receives nearly 20%. Let’s say you’re running an AdWords campaign and you’re getting 1000 clicks per day (multiply those clicks by your cost per click – OUCH). Compare that to number one in Google’s organic listing at 40%. Your paid 1000 clicks translate to 8000 FREE organic clicks. And viewing patterns indicate the first ten organic search positions outperform even the number 1 paid ad on the same page. OK, you’re saying that you know it’s important to rank high in SERPS, so how is this a big secret?

What does Google look at today to rank organic listings?
While Google doesn’t divulge their algorithms publicly, they do post recommendations and guidance. We do know they look at content, which is essentially the domain name itself, certain meta tags and so. They still look at links, both inbound and outbound, assigning authority to those links. And this should be no surprise – they look at the human element – activity. This consists of traffic, RSS subscriptions, comments on blogs, updates to your site and so on.

How do today’s algorithms differ from years past?

I think we all remember PageRank. Up until about 2003, Google counted the number of inbound links to a site, applied a ranking score to each (based on quality), and the sites with the most quality inbound links ranked highest.

When Google introduced Adsense, a shift to content ensued. The focus was to create a ton of pages with content – then place Google’s ads on them. When visitors to those websites clicked thru on the ads, Google split the ad revenue with the site owners. What happened?  For a few years, content worked well, but the SERPS began to be overrun with spam. Another shift was incorporated to regain relevancy, going back to a more robust emphasis on links. This was quickly countered with SEO tactics like link wheels, irrelevant comments on do-follow blogs, robotic article rewrites that were posted everywhere linking back to a main website.

Enter Google Current Algorithms
Essentially, Google now rewards activity and freshness, meaning more relevance is given to sites that routinely update their content. They still factor in link juice and volume of relevant content, but human activity (social media) is the prevailing trend across all industries.

Over the years, Google has invested heavily in technology that measures HUMAN ACTIVITY. Think about all the programs and businesses they’ve invested in, many that never turned one penny in profit. Why? As long as SEO practitioners could automate strategies to exploit Google’s algorithms, their rankings and AdSense revenue was diluted.

Going Forward
Consider this – with the addition of FeedBurner, Chrome, Google Analytics, Google’s Toolbar and on and on, user statistics are being sent to Google on a massive scale. Google’s algorithms are updated frequently though – with primary emphasis on traffic. Note – avoid automated programs. Google has garnered a wealth of information about human trends and SEO tactics over the years, and can see through most attempts to exploit their services.

It’s best to create organic websites that are highly relevant to the service or products you offer, then create activity on that site by embracing social media (Facebook, Twitter, etc), incorporating a do-follow blog (moderating comments and disabling spam links), then tweak your site as needed.

If done properly, your website will not (realistically) leap to number one overnight, but will rise in Google’s rankings over the first 30 to 90 days. Back links and quality content are still important, but my recommendation is to emphasize ACTIVITY.

Google makes over 400 changes to their algorithms each year, and this year is no different. If you’re performing SEO for your own site or as a professional service for your clients, it’s essential that you keep up with these changes.

Fortunately, Google routinely publishes a list of these changes on it’s  Official Search Blog, but it seems as though no one knows that this blog exists. I’m always seeing threads on web hosting forums where members ask about Google’s Panda updates, and the variety of replies astounds me.

Below is a list of changes they listed for February 2012

• More coverage for related searches. [launch codename “Fuzhou”] This launch brings in a new data source to help generate the “Searches related to” section, increasing coverage significantly so the feature will appear for more queries. This section contains search queries that can help you refine what you’re searching for.
• Tweak to categorizer for expanded sitelinks. [launch codename “Snippy”, project codename “Megasitelinks”] This improvement adjusts a signal we use to try and identify duplicate snippets. We were applying a categorizer that wasn’t performing well for our expanded sitelinks, so we’ve stopped applying the categorizer in those cases. The result is more relevant sitelinks.
• Less duplication in expanded sitelinks. [launch codename “thanksgiving”, project codename “Megasitelinks”] We’ve adjusted signals to reduce duplication in the snippets forexpanded sitelinks. Now we generate relevant snippets based more on the page content and less on the query.
• More consistent thumbnail sizes on results page. We’ve adjusted the thumbnail size for most image content appearing on the results page, providing a more consistent experience across result types, and also across mobile and tablet. The new sizes apply to rich snippet results for recipes and applications, movie posters, shopping results, book results, news results and more.
• More locally relevant predictions in YouTube. [project codename “Suggest”] We’ve improved the ranking for predictions in YouTube to provide more locally relevant queries. For example, for the query [lady gaga in ] performed on the US version of YouTube, we might predict [lady gaga in times square], but for the same search performed on the Indian version of YouTube, we might predict [lady gaga in India].
• More accurate detection of official pages. [launch codename “WRE”] We’ve made an adjustment to how we detect official pages to make more accurate identifications. The result is that many pages that were previously misidentified as official will no longer be.
• Refreshed per-URL country information. [Launch codename “longdew”, project codename “country-id data refresh”] We updated the country associations for URLs to use more recent data.
• Expand the size of our images index in Universal Search. [launch codename “terra”, project codename “Images Universal”] We launched a change to expand the corpus of results for which we show images in Universal Search. This is especially helpful to give more relevant images on a larger set of searches.
• Minor tuning of autocomplete policy algorithms. [project codename “Suggest”] We have a narrow set of policies for autocomplete for offensive and inappropriate terms. This improvement continues to refine the algorithms we use to implement these policies.
• “Site:” query update [launch codename “Semicolon”, project codename “Dice”] This change improves the ranking for queries using the “site:” operator by increasing the diversity of results.
• Improved detection for SafeSearch in Image Search. [launch codename "Michandro", project codename “SafeSearch”] This change improves our signals for detecting adult content in Image Search, aligning the signals more closely with the signals we use for our other search results.
• Interval based history tracking for indexing. [project codename “Intervals”] This improvement changes the signals we use in document tracking algorithms.
• Improvements to foreign language synonyms. [launch codename “floating context synonyms”, project codename “Synonyms”] This change applies an improvement we previously launched for English to all other languages. The net impact is that you’ll more often find relevant pages that include synonyms for your query terms.
• Disabling two old fresh query classifiers. [launch codename “Mango”, project codename “Freshness”] As search evolves and new signals and classifiers are applied to rank search results, sometimes old algorithms get outdated. This improvement disables two old classifiers related to query freshness.
• More organized search results for Google Korea. [launch codename “smoothieking”, project codename “Sokoban4”] This significant improvement to search in Korea better organizes the search results into sections for news, blogs and homepages.
• Fresher images. [launch codename “tumeric”] We’ve adjusted our signals for surfacing fresh images. Now we can more often surface fresh images when they appear on the web.
• Update to the Google bar. [project codename “Kennedy”] We continue to iterate in our efforts to deliver a beautifully simple experience across Google products, and as part of that this month we made further adjustments to the Google bar. The biggest change is that we’ve replaced the drop-down Google menu in the November redesign with a consistent and expanded set of links running across the top of the page.
• Adding three new languages to classifier related to error pages. [launch codename "PNI", project codename "Soft404"] We have signals designed to detect crypto 404 pages (also known as “soft 404s”), pages that return valid text to a browser but the text only contain error messages, such as “Page not found.” It’s rare that a user will be looking for such a page, so it’s important we be able to detect them. This change extends a particular classifier to Portuguese, Dutch and Italian.
• Improvements to travel-related searches. [launch codename “nesehorn”] We’ve made improvements to triggering for a variety of flight-related search queries. These changes improve the user experience for our Flight Search feature with users getting more accurate flight results.
• Data refresh for related searches signal. [launch codename “Chicago”, project codename “Related Search”] One of the many signals we look at to generate the “Searches related to” section is the queries users type in succession. If users very often search for [apple] right after [banana], that’s a sign the two might be related. This update refreshes the model we use to generate these refinements, leading to more relevant queries to try.
• International launch of shopping rich snippets. [project codename “rich snippets”]Shopping rich snippets help you more quickly identify which sites are likely to have the most relevant product for your needs, highlighting product prices, availability, ratings and review counts. This month we expanded shopping rich snippets globally (they were previously only available in the US, Japan and Germany).
• Improvements to Korean spelling. This launch improves spelling corrections when the user performs a Korean query in the wrong keyboard mode (also known as an “IME”, or input method editor). Specifically, this change helps users who mistakenly enter Hangul queries in Latin mode or vice-versa.
• Improvements to freshness. [launch codename “iotfreshweb”, project codename “Freshness”] We’ve applied new signals which help us surface fresh content in our results even more quickly than before.
• Web History in 20 new countries. With Web History, you can browse and search over your search history and webpages you’ve visited. You will also get personalized search results that are more relevant to you, based on what you’ve searched for and which sites you’ve visited in the past. In order to deliver more relevant and personalized search results, we’ve launched Web History in Malaysia, Pakistan, Philippines, Morocco, Belarus, Kazakhstan, Estonia, Kuwait, Iraq, Sri Lanka, Tunisia, Nigeria, Lebanon, Luxembourg, Bosnia and Herzegowina, Azerbaijan, Jamaica, Trinidad and Tobago, Republic of Moldova, and Ghana. Web History is turned on only for people who have a Google Account and previously enabled Web History.
• Improved snippets for video channels. Some search results are links to channels with many different videos, whether on mtv.com, Hulu or YouTube. We’ve had a feature for a while now that displays snippets for these results including direct links to the videos in the channel, and this improvement increases quality and expands coverage of these rich “decorated” snippets. We’ve also made some improvements to our backends used to generate the snippets.
• Improvements to ranking for local search results. [launch codename “Venice”] This improvement improves the triggering of Local Universal results by relying more on the ranking of our main search results as a signal.
• Improvements to English spell correction. [launch codename “Kamehameha”] This change improves spelling correction quality in English, especially for rare queries, by making one of our scoring functions more accurate.
• Improvements to coverage of News Universal. [launch codename “final destination”] We’ve fixed a bug that caused News Universal results not to appear in cases when our testing indicates they’d be very useful.
• Consolidation of signals for spiking topics. [launch codename “news deserving score”, project codename “Freshness”] We use a number of signals to detect when a new topic is spiking in popularity. This change consolidates some of the signals so we can rely on signals we can compute in realtime, rather than signals that need to be processed offline. This eliminates redundancy in our systems and helps to ensure we can continue to detect spiking topics as quickly as possible.
• Better triggering for Turkish weather search feature. [launch codename “hava”] We’ve tuned the signals we use to decide when to present Turkish users with the weather search feature. The result is that we’re able to provide our users with the weather forecast right on the results page with more frequency and accuracy.
• Visual refresh to account settings page. We completed a visual refresh of the account settings page, making the page more consistent with the rest of our constantly evolving design.
• Panda update. This launch refreshes data in the Panda system, making it more accurate and more sensitive to recent changes on the web.
• Link evaluation. We often use characteristics of links to help us figure out the topic of a linked page. We have changed the way in which we evaluate links; in particular, we are turning off a method of link analysis that we used for several years. We often rearchitect or turn off parts of our scoring in order to keep our system maintainable, clean and understandable.
• SafeSearch update. We have updated how we deal with adult content, making it more accurate and robust. Now, irrelevant adult content is less likely to show up for many queries.
• Spam update. In the process of investigating some potential spam, we found and fixed some weaknesses in our spam protections.
• Improved local results. We launched a new system to find results from a user’s city more reliably. Now we’re better able to detect when both queries and documents are local to the user.

What is Google looking for – pretty simply, results that are helpful (in the user’s locale or their peer groups). When their raters are researching queries and landing pages, they want to find useful relevant content.

We all hear about Google’s algorithms, but what’s the big picture? In the basic framework of rating a site, if your landing page is off topic or contains useless content, you won’t score many bonus points (and maybe lots of negative points).

If you site is deemed to be of little benefit to very few or no one, or gets flagged as “maybe” spam (or straight up spam), has porn or malicious content – don’t expect to rank very high in SERPS (search engine results pages).

Google doesn’t just look at the query. They look at the intent of the query. The same query in different locations can mean very different things. A great example would be American versus UK football.

Sometimes, their interpretation of a query will be very clear, but more often than not, it’ll fall into a general or common interpretation. What they look for is intent, in terms of action, information or navigation.

Tip: If a query’s intent is determined to be directed to your official (desktop) website, but instead takes the user to your mobile site, that’s not good.

I just typed in “Let It Snow” on Google – as recommended by a story in the Los Angeles Times.  Instantly, my screen started filling with snowflakes and in just a matter of moments, it fogged over. Fortunately, I could wipe the fog from my screen with my mouse.  I wonder – Is that causing condensation inside my monitor?

Anyway, once your screen becomes unreadable – there is a defrost button in the upper right hand corner that clears your screen.  They do this by turning up your internal monitor temperate remotely. NOT!

Tilt and Askew – Google didn’t stop there. Type either tilt or askew in Google and see what happens. Try scrolling thru the results.

There was also a time when if you typed the word “Gravity” into the search engine you’d watch all the copy on the page plunk to the bottom. It doesn’t do that anymore, but you can see what you missed here.

As Google continues to refine its algorithms to return relevant results - I sometimes don’t want to see results based on where Google thinks I am, my past search history or what Google Plus circle I’m in.

In the graphic below, my default location - is Maryland Heights, MO (West St. Louis County). If my default location was Honolulu, or if I selected my location to be Honolulu, I’d see different results for the search query of “dedicated servers St. Louis,” even though my search was very specific to St. Louis. From Honolulu, WHT dropped from number 2 to number 5, Hostirian remained at number one on both, and a couple of local St. Louis firms moved ahead of WHT (using Maryland Heights).

In the following graphic, I’ve compared search queries, again using Honolulu versus Maryland Heights, but dropping St. Louis from the search query.

In this comparison, the query using Honolulu as the location showed NO results for Hostirian, a St. Louis dedicated server provider. However, the same query using Maryland Heights did show Hostirian on the first page at numbers 11 and 12. Worth noting is that by adding St. Louis to the search query, Hostirian ranked at number one on both, because it is a local St. Louis company.

Of course, if you’re using Chrome – and are logged into your Gmail account, throw all this out of the window. Personalized search takes over, making social book marking all the more important.

Last month, Matt Cutts from Google posted - on his blog, “What cool new websearch ideas should Google launch in 2012?” That article received 254 comments like the ones listed below:

• “I’d love a “search by date” and “search by newest” options to be expanded to the main search functions (and as a webmaster, the option added to Site Search). Too often I am looking for something very specific that happened recently, but get older articles that Google deems to be more relevant, even though from my perspective, they are useless.”
• “The other thing I would like to see (and rumors say it is coming) is the scroll down result effect you see for image searches being applied to web searches so there is no longer page 1, page 2, page 3, etc. results. It might level the playing field a bit and would certainly make scanning results easier.”
• “I would like to have the option of turning personal search on and off for when I need to see different results.”
• “And a “-1″ button in the search result, so I can penalize pages I don’t want to see.”

Revised Oct 31, 2011 to reflect Bing update.

Bing clarifies stance on keyword meta tags - if you’re tagging keywords in WordPress, you need to read this!

Volumes have been written about – keyword meta tags and keyword density. While Bing still looks at keyword meta tags, Google does not. If you’re like us, the majority of our referrals are from Google, followed in the far distance by Bing, Yahoo and other search engines. Don’t forget about Bing, though – if you’re looking to maximize your SEO efforts because indiscriminately throwing in tons of keywords on your keyword meta tags could result in spamming penalties.

I have a keyword statistics plug in on this site - and found that it was generating keyword meta tags for some absurd keywords, so I blocked the ability of robots to read those tags.

Staying in the game means – keeping in touch with industry trends. Thus, I recommend Google Webmaster Tools as a viable resource for Search Engine Optimization of your site.

In the following video clip – Matt Cutts from Google officially addresses a lingering SEO controversy on the viability of keyword meta tags.

The full article can be seen on the Google Webmaster Central Blog.