A deeper look at the real PlaceRank and local search opportunity
A thought to get this started: The way Google analyzes links online is really just a mass analysis of human opinions. The analysis of links offline, using mass amount of mobile device location data is the mass analysis of human actions. What people say and what they do can be entirely different things.
So anyone that’s been around the online advertising world will be familiar with the famous Google Page Rank algorithm. While maybe no one other than Larry and Sergey truly knows how it works, there are literally small armies of SEM and SEO experts that wake up in the middle of the night in a sweat wondering if they left out an important keyword, or whether they need to pay for links to get a boost for their clients. It’s a fascinating micro economy that has developed almost exclusively around servicing customers and their interaction with Internet search providers, particularly Google and its $20B in annual revenue.
I haven’t bought search in well over a decade, before Google existed, and am by no means an expert in search, let alone local search, but if you’re looking for more information I’d suggest starting out by reading SEOmoz or Greg Sterlings Skreenwerk blog or reaching out to a local search SEO specialist like David Mihm or Mike Blumenthal who are frequent speakers on those circuits and regularly share some invaluable experiences on their blogs at Mihmorandum and Blumentahals.
But to greatly over simplify, fundamentally there are two main components in play for Google on the web, and how well they translate into a true mobile location aware search is fuzzy at best. So for the current Google web search here are two key factors being looked at:
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PageRank to PlaceRank Is More Than Changing a Few Letters Around
There was a great article yesterday by Chris Silvery, who works for search engine marketing firm Key Relevance and is a regular contributor to the Local’s Only Section of Search Engine Land. The article highlights some of the ways that location oriented search within Google behaves, and frankly how it very often doesn’t behave the way it ‘should’.
Per John Hanke, VP of Google Earth, Maps, and Local from a recent TechCrunch article : ”PlaceRank is like PageRank for places, it tries to figure out how prominent a place is based on factors such as references on the Web, reviews, photos, how many people know about it, how long its been around.”
By the way I think it’s notable that the thing being “figured out” here is “prominence”.
Now I understand that you’ve got to start somewhere, but Read more
Location Aware Mobile Search: Pages Vs Places
Ah the random stuff you think about when you can’t sleep at night. Tonight’s edition for me… how search engines work and how that may potentially translate to creating a search capability around people visiting places… you know places like gas stations and hamburger joints. Yeah I know, I am getting sleepy too!
I’ll be honest I don’t know very much about search engines, a few years ago I printed out a copy of Larry and Serge’s Stanford paper on The Anatomy of a Large-Scale Hypertextual Web Search Engine and read it on a cross country flight for a job interview on a related subject… needless to say I didn’t get the job and I pretty much dropped any more digging on the subject.
But after attending last weeks MetaPlaces conference and listening to the various speakers, including one on the opportunities in mobile search and also a refresher on Sense Networks, the subject is back top of mind again. Read more
Our job is to help acquire all the world’s content
I had seen this a couple of years ago, but noticed it again the other day while having a discussion about Google Latitude and its noteworthiness or lack thereof. I have obviously sided with the noteworthy crowd, not because Latitude represented particularly novel technology from Google, but rather because Google is the 800lb gorilla, and when they adopt and even promote something, it’s noteworthy because of the sheer volume of people they reach. That and information is like oxygen to the company so they need to continue to promote the creation of digital information.
From a Google Job Description in their Geo/Core Content Group.. I thought that the inclusion of “retail product inventories” was particularly interesting, particularly as it relates to where Google may be going with Latitude… bye bye searching for bits, hello searching for atoms? The relevant part:
“Google’s mission is to organize the world’s information – our team’s job is to help acquire all the world’s content… The full breadth of content acquired by the team almost defies description; scope includes multiple forms of media in categories as diverse as: business addresses, event descriptions, restaurant reviews, retail product inventories, real estate listings, government data, and travel-related information.”
The Mobile Search Opportunity, Turning PageRank into PlaceRank
So I see that Google search market share is up to nearly 2/3 of all searches according to the latest stats, and has been trending in that upward slope for quite a while now. So you may be wondering, what happens when they start to run out of room at say 70, 80, 90 or 100% of search share… how do they keep it going?
Well, one solution is to grow the whole pie by growing the gross number of searches conducted. So how do you do that? For starters you make it super easy and convenient to run a search query, like search on a mobile phone (Google Mobile) while you’re out and about and while at your desk through a browser toolbars that is always there, ready and waiting (Google Toolbar). Second you try to get more and more of the world’s information into the index to make it findable, for example by scanning book or making it easy for any Joe Schmo to create new information say like in a blog on Blogger (acquired 2003).
In fact, the worldwide web has grown like wildfire over the past decade with the Google index growing from 26 million pages in 1998 to 1 billion pages in 2000 and an estimated 1 trillion today. So needless to say there is a lot of information out there to be found, and Google’s success has been built on developing the best mousetrap to help folks sift through those 1 trillion pages and find the information they’re looking for, largely relying on that popularity contest dressed up as a math equation called PageRank to help us uncover the needles among those 1 trillion straws of hay.
If there is any commonality between those 1 trillion pages of information that Google currently helps us navigate through it’s that they all 1. sit on a publicly available webserver usually on a server farm somewhere 2. are not time or place dependent and 3. the popularity rank or pagerank is determined in large part through votes (links) placed by a global democracy of users.
Where I am, and information on the places, items and people around me. Take for example these things that we don’t even consider doing a Google search for
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