How many of these actions have you conducted in a professional capacity for your company or a client?
* Posted a video to YouTube with a few tags and a remotely descriptive title.
* Rated your company's video on YouTube (or related video sites from Google, Yahoo, or MSN).
* Submitted a press release to some online newswire (or a traditional newswire that also posts releases online).
* Tagged photos on Flickr (owned by Yahoo).
* Posted an event to Upcoming.org (owned by Yahoo).
* Added a local listing to Google Base.
Okay, maybe you haven't done any of this, but if you serve in a marketing role, you probably will before long, and all of these actions can provide greater exposure for your Web presence in the major engines. That's because of the impact of universal search (the term Google gave it) or blended search, which refers to how the engines pull in content from a range of other sources (including the engines' own databases) into the main body of natural search results. Another version of this is modular search, pioneered by Ask.com, where the different types of content (images, video, local listings, etc) each appear in a separate field beside the main body of natural listings. (Thanks go to colleague Chris Humber, my in-house SEO guru, for shedding light on the nuances).
The twist here is that if universal, blended, or modular search becomes the long-term standard rather than an engine fad (another personal guru, colleague Eric Richmond, noted that it's too soon to determine users' preferences), it's likely that there will be a much larger group of people contributing to a site's search visibility than ever before.
The concept itself isn't totally new. Press release optimization, local search optimization, and social media optimization have been bandied about for years, to name just a few of the subdisciplines. Yet universal search allows all those "___ ___ optimization" specialties to come together. It's all search engine optimization, and it includes a retail store manager updating a local business listing, an events manager posting a public function, a marketing assistant publishing clips on a video site, a marketing director ghost-writing a C-level executive's entry on a corporate blog, and everyone in the company who participates in any way -- rating the business or YouTube clip, adding the blog to an engines' feed aggregator, RSVPing to an event, or taking some other action. All these actions can signal that the content is relevant and helps it rank higher in natural search results.
That doesn't create less work for the true SEO masters. While everyone in an organization can make a small positive impact, it's also likely that most people will have no sense of how their actions contribute to SEO and thus impact a company's sales and brand. That means much of the optimization potential will be wasted. These professional SEO experts must then emerge not just as technologists but as evangelists, educators, and shepherds.
As for the congregants, pupils, and flocks, you're now ready to enter your never-ending SEO training. It's one more way you'll be able to contribute to the future success of your business.
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Rather than studying the Google algo, SEOs should be studying the vernacular of markets. Google is more than competent at giving you the first page for any well researched high conversion/non-competitive phase you place in any form of content.
Coding tricks in SEO are becoming more and more irrelevant as real SEOs determine that this is about "sales/conversions" not "traffic" and therefore ultimately "cultural linguistics."
It's also why you should never outsource your SEO to a location that doesn't know what phrases like, "upper east side" mean.
Hope everything is well by you, we haven't spoken in a long time.
I agree with everything you wrote here, and have noticed in recent times that companies are looking to SEO to do all of that, which means an SEO Professional needs to be familiar with all selling platforms, all terminology, etc.
This will certainly raise the value of such an individual, and place a premium on those with a statistical background to analyze multiple layers of data.