Understanding Google My Business & Local Search
SMXEast Presentation: A patent review of Maps Ranking Factors
I have been reading Google’s Location Prominence Patent of late in search of a better understanding of the web related factors that affect Local ranking in Maps. This presentation augments the one made at SMXLocal in July. If time allows I will do a series on the underlying patent and its implications. Here is my presentation from SMXEast:
There is a lot of background information and notes that accompany this presentation. The patent is a trove of incredible information and very interesting background. I hope to be able to write a more thorough review of the patent but in the mean time, please, please ask away and I respond as best as I am able.
Besides the above and the SMX East presentation there are two other posts worth reading on the factors affecting ranking:
– 10 Likely Elements of Google’s Local Search Algorithm
– David Mihm’s excellent survey of local search ranking factors.
© Copyright 2023 - MIKE BLUMENTHAL, ALL RIGHT RESERVED.
Oh, it looks like this presentation has taken on a whole new life since your original version of it, Mike. Nice graphics, great information.
Congratulations on your speaking engagement!
We were charged with providing “new” information. While the patent is old, reading it in light of our study showed me ways that can influence rank that we can quantify going forward.
In reading the patent, it became clear that PR is not a very accurate view of the authoritative website. Location Prominence is an expansion/enhancement of PR which is why we saw weak correlations using it as a variable.
[…] Comments Mike on SMXEast Presentation: A patent review of Maps Ranking FactorsMiriamEllis on SMXEast Presentation: A patent review of Maps Ranking FactorsUnderstanding Google […]
So if Location Prominence is equivalent to PR, what other equivalents are there?
Traditional SEO can basically be broken down into 4 main components, in my humble opinion:
Age of document
Contents of Document
What are the correlations for these things in Local? Has anything occurred to you, in reading the patent? I would appreciate hearing any further insights you can provide, based on your review of the patent and our work on the project.
[…] to Rule Them All | Developing Knowledge about Local Search on Maps IYP Market ShareMiriamEllis on SMXEast Presentation: A patent review of Maps Ranking FactorsMozilla be launching Geode – Browsers get Local : Local Search Optimization on Will Ubiquity change […]
This is what I’ve been saying for months.
The more competitive the market the more the local rankings are influenced by inbound links (quality, quantity, etc.). Of course they’ve added several nuances to the algorithm, including # or reviews, and geo factors.
I don’t see the big differences. I see it more as similarities. Basic “onpage” factors have to be right, then assuming you’ve done those correctly then “offpage” factors dominate.
The interesting tidbit in the patent was the “Highest Score of the documents” linking in addition to the number of linking documents. The implication was that a single hi scoring LP document + total # on the explicit link text was the calculation. We have yet to ascertain the relative weight of this vs other factors but it appears to account for about 30% of the variability in ranking.
I hope to write more thoroughly on the patent and our research but there are a number of equivalents:
Business Title= Page Title/Desc Tag
Category= Page Title/Desc Tag
Content of Business Listing + Web site content= on page content
Citations + Geo References + Reviews + In bound Links= In Bound Links
An interesting note in the patent was discussing a possible add on ranking factor of user logs. They would assess which business had their directions looked up more frequently and use that log information in the calculation.
I found no reference to age in the patent. Doesn’t mean they don’t use it.
Oh, good, Mike. I’m glad you’re planning to write more thoroughly on the patent. Thanks for responding, and I figured user behavior has to be in there somewhere.
[…] kind enough to post his presentation from the recently-completed SMX East where he reviewed the Google Maps patent in great detail. Check it out for a less-frequently-discussed topic called Location Prominence, which merits […]
[…] you are looking for information on Ranking in Google Maps you might want to view these: •SMXEast Presentation: A patent review of Maps Ranking Factors •Ranking Factors in Google Maps – Cracking the Code SMX Local •10 Likely Ranking Factors of […]
[…] factors interact with each other based on availability of data and competitiveness of market. SMXEast Presentation: A patent review of Maps Ranking Factors Mike takes things one step further here and dives into Google Maps’ patent on ranking. Pay […]
[…] Mike Blumenthal’s local ranking factors presentation […]
[…] local search algo is a complex multivariate, bi-modal algorithm that is continually evolving. Thus predicting the […]
Comments for this post are closed.