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SEO Implications of New Matching Approach for Google Ads?

There are some changes coming to paid search at Google that sound exciting on the surface, but may leave many guessing how exactly those changes might manifest themselves. Over at the Inside Google Adwords blog, we were greeted with a blog post titled New matching behavior for phrase and exact match keywords on April 17th, that tells us that Google will be returning a few more results for paid advertisements that are phrase and exact match keywords. The post tells us to expect to see this start in mid-May.

While I don’t offer paid search as a service, I do often use the Google Keywords Suggestion Tool, and it left me wondering if the search volumes reported by that tool would change in response to the broader match in Google Adwords. Will it continue to show me only “exact” match volumes for keywords that I enter into the tool, or will it start reporting matches for keywords that are broader? Coincidentially, Google was granted a couple of patents this week involving search advertisements, including one on ways that the search engine might modify or expand the range of terms and phrases that advertisements may be shown for.

The first one that caught my eye was the following, which lists Ramananthan V. Guha as one of the inventors behind the patent. He’s known for a few things, including early work building the first verion of RSS, as well as being a major force behind Google Custom Search Engines. He also developed Google’s version of trust rank, as an annotation system from “trusted sources” that could make search results more relevant for certain terms and phrases.

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PostRank and the Importance of Social Engagement Metrics to SEO

There are many sites that curate content and links on the Web, including many blogs and a number of social sites that do it through submissions by their members, who can also vote upon those submissions. The inventors of PostRank came up with an algorithmic approach to rank articles and blog posts and other content on the Web, and present it to people based upon those rankings. I’ve found a patent application at the USPTO that provides some insights and details on how their approach worked.

Google acquired PostRank last June, as was announced on the PostRank blog on June 3, 2011. Given Google’s increasing move towards looking at more social signals for the potential ranking of content shared by others, it’s worth wondering how this technology might be used by Google, and what the PostRank team might be bringing to the effort. PostRank Cofounder Ilya Grigorik, who now appears to be a web performance analyst with Google, noted in the post announcing the acquisition:

We know that making sense of social engagement data is important for online businesses, which is why we have worked hard to monitor where and when content generates meaningful interactions across the web. Indeed, conversations online are an important signal for advertisers, publishers, developers and consumers—but today’s tools only skim the surface of what we think is possible.

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Panda and Penguin go sledding

I was looking at the peaks and valleys of traffic in Google Analytics, and thinking of the Google Panda and Penguin updates, and couldn’t stop myself:

A Panda and Penguin on a toboggan, sledding down a slope in Google Analytics.

Wondering how long it will be before Google runs out of black and white animals to name updates after?

How Google Might Index Link Behavior Information

Under a conventional approach to indexing links by a search engine, information about the targeted address that a link is pointed towards might be included in a search engine’s index, as well as the anchor text displayed within the links, and possibly even some text near the link itself. The Google Reasonable Surfer model points to the possibility of other information being collected about a link as well, which could be taken together as a whole to calculate how much value or weight might be passed along by the link to another page under a PageRank link analysis model or even in determining how much weight the anchor text used to point to a link might carry.

The question, Just How Smart are Search Engine Robots has been asked with more frequency lately, and a pending patent application published by Google shows how the search engine might be collecting a whole different type of link behavior information about links that are found on the Web. Given Google’s move towards building their own Chrome Browser and providing access to web pages via alternative screens such as those on smart phones and other handheld devices and television screens, it makes sense for the search engine to capture this kind of information as well. The image from the patent filing below shows sections of links, including target and onclick attributes that the search engine might now be indexing.

A screenshot from Google Maps showing an information box over the map that appears after clicking upon a link in the column to the left.

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Google's Comment Patents and How Pages' Web Rankings Might Be Influenced by Commentors' Reputations

A rumor surfaced last week that Google would launch a third party commenting platform to rival Facebook’s. Coincidentially, Google was granted two patents this week describing comment systems, and how comments might be ranked under those systems. But the patents appear to describe comments on two different services from Google that have been discontinued. One of the patents appears to involve Google Sidewiki, which had more of a Web annotation service feel than that of a commenting system, and and the other involves comments on Google Knol.

Google Sidewiki and Google Knol and Commenting

Google Sidewiki enabled people to leave a comment on virtually any page on the Web, and could be accessed through the Google toolbar. A 1999 survey of Web annotation services showed that they have been around since the earliest days of the Web, and they differ from commenting systems in that they’ve been aimed at providing ways for people to leave private or public notes about web pages, sometimes but not necessarily with the participation of the authors of those pages. When Google announced that they were closing down Sidewiki last September, they told us that:

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Most Important SEO Patents Part 10: Just the Beginning

I’ve been faced with a pretty difficult decision, choosing the last of the patents, or patent families to include in this series of posts about the most important search-related patents to people who promote sites on the Web. I find I just can’t choose one.

Synonyms

For the last few weeks, I’ve been arguing with myself over a choice of at least two sets of patents. One patent that I wanted to include involved responding to informational needs by going beyond matching keywords to expand the query terms used in search results to include synonyms and pages on related concepts. There are a number of related patents granted to Google that describe how the search engine might identify synonyms, and it’s worth spending some time with all of them.

Large Data Sets

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Predicting SEO Changes in Rankings, Algorithms, and Penalties

Last Thursday, the Wall Street Journal published a couple of articles that point to a new direction in the future from Google, With Semantic Search, Google Eyes Competitors, and Google Gives Search a Refresh. On Friday, Barry Schwartz reported at Search Engine Land that Google’s Head of Spam, Matt Cutts announced that Google was working upon an “Over Optimization” penalty for websites that were stuffed with too many links and had excessive links pointed to them, in the post, Too Much SEO? Google’s Working On An “Over-Optimization” Penalty For That.

Thursday evening I visited the Philadephia offices of Seer Interactive to give a presentation on some of the changes in Search and Social activities involving SEO in a free presentation hosted by Wil Reynolds and the Seer Interactive team. Amongst the possible changes I pointed out included more emphasis on search as a knowledge base, with more Q&A results, and a greater emphasis on information extraction around entities as described in the Wall Street Journal article.

Nuance Search-Related Patent Applications Published

Nuance Communications, which partners with Apple Computers to provide the voice recognition software behind Apple’s intelligent assistant Siri, had 4 patent applications published today at the USPTO that focus upon search and search technology. While the company has at least 274 granted patents and 104 pending patents listed as assigned to it at the US patent and trademark office, these appear to be the first that focus upon the operations of a search engine. They reference the Dragon Search application built for iPhones:

A screenshot from the patent showing the Dragon search interface from Nuance.

The topics covered in the Nuance patent portfolio primarily involve speech recognition technology, but include some areas that companies like Google have been focusing upon within a few of their patents as well, such as statistical language models and document segmentation algorithms, as well as a browser for the voice web which was filed in 1998.

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