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One of the frustrations of doing SEO for large websites is the fact that Google makes it very difficult to see more than a small part of the search index. Even in Webmaster Tools, Google's index search is built on the same mechanics as its web search, which only lets you see the first 1,000 pages of any result. Whether you're trying to get pages discovered, struggling with duplicate content, confirming robots.txt changes, or doing advanced index sculpting, that 1,000-page barrier can be extremely limiting when you're dealing with a site with 10,000 or more indexed pages.
So, how can we dig deeper into the index and really see the big picture?
The Tools – Site: and Inurl:drow last names
First off, you're going to need a couple of tools. I'll assume that most of you are familiar with Google's "site:" command, which returns the indexed pages from any given domain or subdomain. Let's take our friends here at SEOmoz as an example. Type "site:seomoz.org" into Google's search box, and you'll see something like this:

The other command we'll be using is "inurl:", which, paired with other search terms, restricts the results to only those containing a specific keyword in the URL. Paired with the "site:" command, Google only reveals indexed pages which contain those URL keywords.
The Tactic – Index Deconstruction
Using our SEOmoz example, how can we find out which pages are included in the roughly 12,000-page index when we can only see those pages 1,000 at a time? Those last three words are the key: we can only see 1,000 pages at a time, but depending on how we construct our searches, they don't have to be the same 1,000 pages. By splitting up our index searches logically, we can break the full index up into manageable chunks. We'll do this by using "inurl:" to force the "site:" command to show us the index through smaller windows.
An Example – Deconstructing SEOmozdrow last names
This is one of those techniques that's much easier to illustrate with an example. Let's say that we needed to dig deeply into SEOmoz's 12,000 indexed pages. The first thing that we might do is to take a look at the main navigation to get an idea of the URL/folder structure of the site. Looking at the top-right navigation on SEOmoz, we see the following (I've added the numbers 1-6 - see below):

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For a long time, the SEO world has revolved around the idea that KW volume prediction tools could only give relative levels of accuracy, i.e. term X is more popular than term Y. These tools have never been good at fulfilling their true claim - predicting search volume.drow last names
I set up a campaign to test the predictions of KW research tools like KeywordDiscovery, Overture, Wordtracker, MSN, etc. It won't be ready to give up the data until the end of November (perhaps even later), but in the meantime, I thought it would be valuable to ask and discuss the various KW tools.drow last names
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Obviously, there are lots of tools that pull from these primary data sources, but I'm more interested in which you generally find to be most accurate in predicting actual search volume.
I just accidentally deleted my first post here at SEOmoz (while trying to edit it), but luckily, it was also one of my worst posts ever, so it almost feels like fate...

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In the stock market, analysts and traders buy, sell and trade shares in companies based on the speculation of future earnings or declines. Stock pickers attempt to determine which investments will rise and fall based on publicly available information. Slate magazine recently pointed out that even the best stock pickers, however, are generally terrible at beating the market as a whole over the long term.
However, we in search have our own market from which to pick and choose rising stars - the daily demand for search queries. It's strange to me that this topic is so rarely discussed and that so few individuals in the search world talk about the power of "predictively picking keywords." In the search market, there's no rules against insider trading - if you know that ABC is running a special about whatever happened to Marianne from Gilligan's Island on Sunday, writing a blog entry or creating a landing page for that phrase isn't "insider trading," it's just smart keyword targeting. Similiarly, there's almost no downside to being wrong - you may waste a half hour putting together some content, but you won't lose money and even the worst predictions may pay off in the future. drow last names
If, as a savvy website operator or search marketer, you can anticipate trends in your field (or any field) from a query perspective, you stand to be exceptionally successful. First to market with a great piece of content on a subject can often mean that your resource becomes the reference "source" for future content pieces, meaning you can maintain the top position simply by being first (and thorough).
Some solid examples include creating pages or sites for:
• New television shows drow last names
• New books or films
• Artists whose popularity is rising (in any field)
• Current events
• Geographies that receive attention (particularly smaller towns, landmarks, etc.)
• Historical references or events
• New technologies or products
Has anyone played the keyword query prediction market lately? Any big ones to show for it? Please feel free to link out to references or examples of successes.

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