Big Data, Big Problems: 4 Major Link Indexes Compared

Posted by russangular

Given this blog’s readership, chances are good you will spend some time this week looking at backlinks in one of the growing number of link data tools. We know backlinks continue to be one of, if not the most important
parts of Google’s ranking algorithm. We tend to take these link data sets at face value, though, in part because they are all we have. But when your rankings are on the line, is there a better way to get at which data set is the best? How should we go
about assessing these different link indexes like
Moz,
Majestic, Ahrefs and SEMrush for quality? Historically, there have been 4 common approaches to this question of index quality…

  • Breadth: We might choose to look at the number of linking root domains any given service reports. We know
    that referring domains correlates strongly with search rankings, so it makes sense to judge a link index by how many unique domains it has
    discovered and indexed.
  • Depth: We also might choose to look at how deep the web has been crawled, looking more at the total number of URLs
    in the index, rather than the diversity of referring domains.
  • Link Overlap: A more sophisticated approach might count the number of links an index has in common with Google Webmaster
    Tools.
  • Freshness: Finally, we might choose to look at the freshness of the index. What percentage of links in the index are
    still live?

There are a number of really good studies (some newer than others) using these techniques that are worth checking out when you get a chance:

  • BuiltVisible analysis of Moz, Majestic, GWT, Ahrefs and Search Metrics
  • SEOBook comparison of Moz, Majestic, Ahrefs, and Ayima
  • MatthewWoodward
    study of Ahrefs, Majestic, Moz, Raven and SEO Spyglass
  • Marketing Signals analysis of Moz, Majestic, Ahrefs, and GWT
  • RankAbove comparison of Moz, Majestic, Ahrefs and Link Research Tools
  • StoneTemple study of Moz and Majestic

While these are all excellent at addressing the methodologies above, there is a particular limitation with all of them. They miss one of the
most important metrics we need to determine the value of a link index: proportional representation to Google’s link graph
. So here at Angular Marketing, we decided to take a closer look.

Proportional representation to Google Search Console data

So, why is it important to determine proportional representation? Many of the most important and valued metrics we use are built on proportional
models. PageRank, MozRank, CitationFlow and Ahrefs Rank are proportional in nature. The score of any one URL in the data set is relative to the
other URLs in the data set. If the data set is biased, the results are biased.

A Visualization

Link graphs are biased by their crawl prioritization. Because there is no full representation of the Internet, every link graph, even Google’s,
is a biased sample of the web. Imagine for a second that the picture below is of the web. Each dot represents a page on the Internet,
and the dots surrounded by green represent a fictitious index by Google of certain sections of the web.

Of course, Google isn’t the only organization that crawls the web. Other organizations like Moz,
Majestic, Ahrefs, and SEMrush
have their own crawl prioritizations which result in different link indexes.

In the example above, you can see different link providers trying to index the web like Google. Link data provider 1 (purple) does a good job
of building a model that is similar to Google. It isn’t very big, but it is proportional. Link data provider 2 (blue) has a much larger index,
and likely has more links in common with Google that link data provider 1, but it is highly disproportional. So, how would we go about measuring
this proportionality? And which data set is the most proportional to Google?

Methodology

The first step is to determine a measurement of relativity for analysis. Google doesn’t give us very much information about their link graph.
All we have is what is in Google Search Console. The best source we can use is referring domain counts. In particular, we want to look at
what we call
referring domain link pairs. A referring domain link pair would be something like ask.com->mlb.com: 9,444 which means
that ask.com links to mlb.com 9,444 times.

Steps

  1. Determine the root linking domain pairs and values to 100+ sites in Google Search Console
  2. Determine the same for Ahrefs, Moz, Majestic Fresh, Majestic Historic, SEMrush
  3. Compare the referring domain link pairs of each data set to Google, assuming a
    Poisson Distribution
  4. Run simulations of each data set’s performance against each other (ie: Moz vs Maj, Ahrefs vs SEMrush, Moz vs SEMrush, et al.)
  5. Analyze the results

Results

When placed head-to-head, there seem to be some clear winners at first glance. In head-to-head, Moz edges out Ahrefs, but across the board, Moz and Ahrefs fare quite evenly. Moz, Ahrefs and SEMrush seem to be far better than Majestic Fresh and Majestic Historic. Is that really the case? And why?

It turns out there is an inversely proportional relationship between index size and proportional relevancy. This might seem counterintuitive,
shouldn’t the bigger indexes be closer to Google? Not Exactly.

What does this mean?

Each organization has to create a crawl prioritization strategy. When you discover millions of links, you have to prioritize which ones you
might crawl next. Google has a crawl prioritization, so does Moz, Majestic, Ahrefs and SEMrush. There are lots of different things you might
choose to prioritize…

  • You might prioritize link discovery. If you want to build a very large index, you could prioritize crawling pages on sites that
    have historically provided new links.
  • You might prioritize content uniqueness. If you want to build a search engine, you might prioritize finding pages that are unlike
    any you have seen before. You could choose to crawl domains that historically provide unique data and little duplicate content.
  • You might prioritize content freshness. If you want to keep your search engine recent, you might prioritize crawling pages that
    change frequently.
  • You might prioritize content value, crawling the most important URLs first based on the number of inbound links to that page.

Chances are, an organization’s crawl priority will blend some of these features, but it’s difficult to design one exactly like Google. Imagine
for a moment that instead of crawling the web, you want to climb a tree. You have to come up with a tree climbing strategy.

  • You decide to climb the longest branch you see at each intersection.
  • One friend of yours decides to climb the first new branch he reaches, regardless of how long it is.
  • Your other friend decides to climb the first new branch she reaches only if she sees another branch coming off of it.

Despite having different climb strategies, everyone chooses the same first branch, and everyone chooses the same second branch. There are only
so many different options early on.

But as the climbers go further and further along, their choices eventually produce differing results. This is exactly the same for web crawlers
like Google, Moz, Majestic, Ahrefs and SEMrush. The bigger the crawl, the more the crawl prioritization will cause disparities. This is not a
deficiency; this is just the nature of the beast. However, we aren’t completely lost. Once we know how index size is related to disparity, we
can make some inferences about how similar a crawl priority may be to Google.

Unfortunately, we have to be careful in our conclusions. We only have a few data points with which to work, so it is very difficult to be
certain regarding this part of the analysis. In particular, it seems strange that Majestic would get better relative to its index size as it grows,
unless Google holds on to old data (which might be an important discovery in and of itself). It is most likely that at this point we can’t make
this level of conclusion.

So what do we do?

Let’s say you have a list of domains or URLs for which you would like to know their relative values. Your process might look something like
this…

  • Check Open Site Explorer to see if all URLs are in their index. If so, you are looking metrics most likely to be proportional to Google’s link graph.
  • If any of the links do not occur in the index, move to Ahrefs and use their Ahrefs ranking if all you need is a single PageRank-like metric.
  • If any of the links are missing from Ahrefs’s index, or you need something related to trust, move on to Majestic Fresh.
  • Finally, use Majestic Historic for (by leaps and bounds) the largest coverage available.

It is important to point out that the likelihood that all the URLs you want to check are in a single index increases as the accuracy of the metric
decreases. Considering the size of Majestic’s data, you can’t ignore them because you are less likely to get null value answers from their data than
the others. If anything rings true, it is that once again it makes sense to get data
from as many sources as possible. You won’t
get the most proportional data without Moz, the broadest data without Majestic, or everything in-between without Ahrefs.

What about SEMrush? They are making progress, but they don’t publish any relative statistics that would be useful in this particular
case. Maybe we can hope to see more from them soon given their already promising index!

Recommendations for the link graphing industry

All we hear about these days is big data; we almost never hear about good data. I know that the teams at Moz,
Majestic, Ahrefs, SEMrush and others are interested in mimicking Google, but I would love to see some organization stand up against the
allure of
more data in favor of better data—data more like Google’s. It could begin with testing various crawl strategies to see if they produce
a result more similar to that of data shared in Google Search Console. Having the most Google-like data is certainly a crown worth winning.

Credits

Thanks to Diana Carter at Angular for assistance with data acquisition and Andrew Cron with statistical analysis. Thanks also to the representatives from Moz, Majestic, Ahrefs, and SEMrush for answering questions about their indices.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 2 years ago from tracking.feedpress.it

Everything You Need to Know About Mobile App Search

Posted by Justin_Briggs

Mobile isn’t the future. It’s the present. Mobile apps are not only changing how we interact with devices and websites, they’re changing the way we search. Companies are creating meaningful experiences on mobile-friendly websites and apps, which in turn create new opportunities to get in front of users.

I’d like to explore the growth of mobile app search and its current opportunities to gain visibility and drive engagement.

Rise of mobile app search

The growth of mobile device usage has driven a significant lift in app-related searches. This is giving rise to mobile app search as a vertical within traditional universal search.

While it has been clear for some time that mobile search is important, that importance has been more heavily emphasized by Google recently, as they continue to push
mobile-friendly labels in SERPs, and are likely increasing mobile-friendliness’s weight as a ranking factor.

The future of search marketing involves mobile, and it will not be limited to optimizing HTML webpages, creating responsive designs, and optimizing UX. Mobile SEO is a world where apps, knowledge graph, and conversational search are front and center.

For the
top 10 leading properties online, 34% of visitors are mobile-only (comScore data), and, anecdotally, we’re seeing similar numbers with our clients, if not more.

Mobile device and app growth

It’s also worth noting that
72% of mobile engagement relies on apps vs. on browsers. Looking at teen usage, apps are increasingly dominant. Additionally,
55% of teens use voice search more than once per day

If you haven’t read it, grab some coffee and read
A Teenagers View on Social Media, which is written by a 19-year old who gives his perspective of online behavior. Reading between the lines shows a number of subtle shifts in behavior. I noticed that every time I expected him say website, he said application. In fact, he referenced application 15 times, and it is the primary way he describes social networks.

This means that one of the fasting growing segments of mobile users cannot be marketed to by optimizing HTML webpages alone, requiring search marketers to expand their skills into app optimization.

The mobile app pack

This shift is giving rise to the mobile app pack and app search results, which are triggered on searches from mobile devices in instances of high mobile app intent. Think of these as being similar to local search results. Considering
mobile searcher behavior, these listings dominate user attention.

Mobile app search results and mobile app pack

As with local search, mobile app search can reorder traditional results, completely push them down, or integrate app listings with traditional web results.

You can test on your desktop using a
user-agent switcher, or by searching on your iOS or Android device. 

There are slight differences between iPhone and Android mobile app results:

iOS and Android mobile search result listing

From what I’ve seen, mobile app listings trigger more frequently, and with more results, on Android search results when compared to iOS. Additionally, iOS mobile app listings are represented as a traditional website result listing, while mobile app listings on Android are more integrated.

Some of the differences also come from the differences in app submission guidelines on the two major stores, the Apple App Store and Google Play.

Overview of differences in mobile app results

  1. Title – Google uses the app listing page’s HTML title (which is the app’s title). iOS app titles can exceed 55-62 characters, which causes wrapping and title truncation like a traditional result. Android app title requirements are shorter, so titles are typically shorter on Android mobile app listings.
  2. URL – iOS mobile app listings display the iTunes URL to the App Store as part of the search result.
  3. Icon – iOS icons are square and Android icons have rounded corners.
  4. Design – Android results stand out more, with an “Apps” headline above the pack and a link to Google Play at the end.
  5. App store content – The other differences show up in the copy, ratings, and reviews on each app store.

Ranking in mobile app search results

Ranking in mobile app search results is a
combination of App Store Optimization (ASO) and traditional SEO. The on-page factors are dependent upon your app listing, so optimization starts with having solid ASO. If you’re not familiar with ASO, it’s the process of optimizing your app listing for internal app store search.

Basics of ASO

Ranking in the Apple App Store and in Google Play is driven by two primary factors: keyword alignment and app performance. Text fields in the app store listing, such as title, description, and keyword list, align the app with a particular set of keywords. Performance metrics including download velocity, app ratings, and reviews determine how well the app will rank for each of those keywords. (Additionally, the Google Play algorithm may include external, web-based performance metrics like citations and links as ranking factors.)

App store ranking factors

Mobile app listing optimization

While I won’t explore ASO in-depth here, as it’s very similar to traditional SEO,
optimizing app listings is primarily a function of keyword targeting.

Tools like
Sensor Tower, MobileDevHQ, and App Annie can help you with mobile app keyword research. However, keep in mind that mobile app search listings show up in universal search, so it’s important to leverage traditional keyword research tools like the AdWords Tool or Google Trends.

While there are similarities with ASO, optimizing for these mobile app search listings on the web has some slight differences.

Differences between ASO & mobile app SEO targeting

  1. Titles – While the Apple App Store allows relatively long titles, they are limited to the preview length in organic search. Titles should be optimized with Google search in mind, in addition to optimizing for the app store. Additionally, several apps aggressively target keywords in their app title, but caution should be used as spamming keywords could influence app performance in Google.
  2. Description – The app description on the App Store may not be a factor in internal search, but it will impact external app search results. Leverage keyword targeting best practices when writing your iOS app description, as well as your Android app description.
  3. Device and platform keywords – When targeting for app store search, it is not as important to target terms related to the OS or device. However, these terms can help visibility in external search. Include device and OS terms, such as Android, Samsung Note, iOS, iPad, and iPhone.

App performance optimization

Outside of content optimization, Google looks at the performance of the app. On the Android side, they have access to the data, but for iOS they have to rely on publicly available information.

App performance factors

  • Number of ratings
  • Average rating score
  • Content and sentiment analysis of reviews
  • Downloads / installs
  • Engagement and retention
  • Internal links on app store

For iOS, the primary public metrics are ratings and reviews. However, app performance can be inferred using the App Store’s ranking charts and search results, which can be leveraged as proxies of these performance metrics.


The following objectives will have the greatest influence on your mobile app search ranking:

  1. Increase your average rating number
  2. Increase your number of ratings
  3. Increase downloads

For app ratings and reviews, leverage platforms like
Apptentive to improve your ratings. They are very effective at driving positive ratings. Additionally, paid tactics are a great way to drive install volume and are one area where paid budget capacity could directly influence organic results in Google. Anecdotally, both app stores use rating numbers (typically above or below 4 stars) to make decisions around promoting an app, either through merchandising spots or co-branded campaigns. I suspect this is being used as a general cut-off for what is displayed in universal results. Increasing your rating above 4 stars should improve the likelihood you’ll appear in mobile app search results.

Lastly, think of merchandising and rankings in terms of 
internal linking structures. The more visible you are inside of the app store, the more visibility you have in external search.

App web performance optimization

Lastly, we’re talking Google rankings, so factors like links, citations, and social shares matter. You should be
conducting content marketing, PR, and outreach for your app. Focus on merchandising your app on your own site, as well as increasing coverage of your app (linking to the app store page). The basics of link optimization apply here.

App indexation – drive app engagement

Application search is not limited to driving installs via app search results. With app indexing, you can leverage your desktop/mobile website visibility in organic search to drive engagement with those who have your app installed. Google can discover and expose content deep inside your app directly in search results. This means that when a user clicks on your website in organic search, it can open your app directly, taking them to that exact piece of content in your app, instead of opening your website.

App indexation fundamentally changes technical SEO, extending SEO from server and webpage setup to the setup and optimization of applications.

App indexation on Google

This also fundamentally changes search. Your most avid and engaged user may choose to no longer visit your website. For example, on my Note 4, when I click a link to a site of a brand that I have an app installed for, Google gives me the option not only to open in the app, but to set opening the app as a default behavior.

If a user chooses to open your site in your app, they may never visit your site from organic search again.

App indexation is currently limited to Android devices, but there is evidence to suggest that it’s already in the works and is
soon to be released on iOS devices. There have been hints for some time, but markup is showing up in the wild suggesting that Google is actively working with Apple and select brands to develop iOS app indexing.

URI optimization for apps

The first step in creating an indexable app is to set up your app to support deep links. Deep links are URIs that are understood by your app and will open up a specific piece of content. They are effectively URLs for applications.

Once this URI is supported, a user can be sent to deep content in the app. These can be discovered as alternates to your desktop site’s URLs, similar to how
separate-site mobile sites are defined as alternate URLs for the desktop site. In instances of proper context (on an Android device with the app installed), Google can direct a user to the app instead of the website.

Setting this up requires working with your app developer to implement changes inside the app as well as working with your website developers to add references on your desktop site.

Adding intent filters

Android has
documented the technical setup of deep links in detail, but it starts with setting up intent filters in an app’s Android manifest file. This is done with the following code.

<activity android:name="com.example.android.GizmosActivity"
android:label="@string/title_gizmos" >
<intent-filter android:label="@string/filter_title_viewgizmos">
<action android:name="android.intent.action.VIEW" />
<data android:scheme="http"
android:host="example.com"
android:pathPrefix="/gizmos" />
<category android:name="android.intent.category.DEFAULT" />
<category android:name="android.intent.category.BROWSABLE" />
</intent-filter>
</activity>

This dictates the technical optimization of your app URIs for app indexation and defines the elements used in the URI example above.

  • The <intent-filter> element should be added for activities that should be launchable from search results.
  • The <action> element specifies the ACTION_VIEW intent action so that the intent filter can be reached from Google Search.
  • The <data> tag represents a URI format that resolves to the activity. At minimum, the <data> tag must include the android:scheme attribute.
  • Include the BROWSABLE category. The BROWSABLE category is required in order for the intent filter to be accessible from a web browser. Without it, clicking a link in a browser cannot resolve to your app. The DEFAULT category is optional, but recommended. Without this category, the activity can be started only with an explicit intent, using your app component name.

Testing deep links

Google has created tools to help test your deep link setup. You can use
Google’s Deep Link Test Tool to test your app behavior with deep links on your phone. Additionally, you can create an HTML page with an intent:// link in it.

For example
:

<a href="intent://example.com/page-1#Intent;scheme=http;package=com.example.android;end;"> <a href="http://example.com/page-1">http://example.com/page-1></a>

This link would open up deep content inside the app from the HTML page.

App URI crawl and discovery

Once an app has deep link functionality, the next step is to
ensure that Google can discover these URIs as part of its traditional desktop crawling.

Ways to get apps crawled

  1. Rel=”alternate” in HTML head
  2. ViewAction with Schema.org
  3. Rel=”alternate” in XML Sitemap

Implementing all three will create clear signals, but at minimum you should add the rel=”alternate” tag to the HTML head of your webpages.

Effectively, think of the app URI as being similar to a mobile site URL when
setting up a separate-site mobile site for SEO. The mobile deep link is an alternative way to view a webpage on your site. You map a piece of content on your site to a corresponding piece of content inside the app.

Before you get started, be sure to
verify your website and app following the guidelines here. This will verify your app in Google Play Developer Console and Google Webmaster Tools.

#1: Rel=”alternate” in HTML head

On an example page, such as example.com/page-1, you would add the following code to the head of the document. Again, very similar to separate-site mobile optimization.

<html>
<head> 
... 
<link rel="alternate" href="android-app://com.example.android/http/example.com/page-1" /> 
...
</head>
<body>
</body>
#2: ViewAction with Schema.org

Additionally, you can reference the deep link using Schema.org and JSON by using a 
ViewAction.

<script type="application/ld+json"> 
{ 
"@context": "http://schema.org", 
"@type": "WebPage", 
"@id": "http://example.com/gizmos", 
"potentialAction": { 
"@type": "ViewAction", 
"target": "android-app://com.example.android/http/example.com/gizmos" 
} 
} 
</script>
#3 Rel=”alternate” in XML sitemap

Lastly, you can reference the alternate URL in your XML Sitemaps, similar to using the rel=”alternate” for mobile sites.

<?xml version="1.0" encoding="UTF-8" ?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"> 
<url> 
<loc>http://example.com/page-1</loc> 
<xhtml:link rel="alternate" href="android-app://com.example.android/http/example.com/page-1" /> 
</url> 
... 
</urlset>

Once these are in place, Google can discover the app URI and provide your app as an alternative way to view content found in search.

Bot control and robots noindex for apps

There may be instances where there is content within your app that you do not want indexed in Google. A good example of this might be content or functionality that is built out on your site, but has not yet been developed in your app. This would create an inferior experience for users. The good news is that we can block indexation with a few updates to the app.

First, add the following to your app resource directory (res/xml/noindex.xml).

<?xml version="1.0" encoding="utf-8"?> 
<search-engine xmlns:android="http://schemas.android.com/apk/res/android"> 
<noindex uri="http://example.com/gizmos/hidden_uri"/> 
<noindex uriPrefix="http://example.com/gizmos/hidden_prefix"/> 
<noindex uri="gizmos://hidden_path"/> 
<noindex uriPrefix="gizmos://hidden_prefix"/> 
</search-engine>

As you can see above, you can block an individual URI or define a URI prefix to block entire folders.

Once this has been added, you need to update the AndroidManifest.xml file to denote that you’re using noindex.html to block indexation.

<manifest xmlns:android="http://schemas.android.com/apk/res/android" package="com.example.android.Gizmos"> 
<application> 
<activity android:name="com.example.android.GizmosActivity" android:label="@string/title_gizmos" > 
<intent-filter android:label="@string/filter_title_viewgizmos"> 
<action android:name="android.intent.action.VIEW"/> 
... 
</activity> 
<meta-data android:name="search-engine" android:resource="@xml/noindex"/> 
</application> 
<uses-permission android:name="android.permission.INTERNET"/> 
</manifest>

App indexing API to drive re-engagement

In addition to URI discovery via desktop crawl, your mobile app can integrate
Google’s App Indexing API, which communicates with Google when users take actions inside your app. This sends information to Google about what users are viewing in the app. This is an additional method for deep link discovery and has some benefits.

The primary benefit is the ability to appear in
autocomplete. This can drive re-engagement through Google Search query autocompletions, providing access to inner pages in apps.

App auto suggest

Again, be sure to
verify your website and app following the guidelines here. This will verify your app in Google Play Developer Console and Google Webmaster Tools.

App actions with knowledge graph

The next, and most exciting, evolution of search is leveraging actions. These will be powerful when
combined with voice search, allowing search engines to take action on behalf of users, turning spoken language into executed actions.

App indexing allows you to take advantage of actions by allowing Google to not only launch an app, but execute actions inside of the app. Order me a pizza? Schedule my meeting? Drive my car? Ok, Google.

App actions work via entity detection and the application of the knowledge graph, allowing search engines to understand actions, words, ideas and objects. With that understanding, they can build an action graph that allows them to define common actions by entity type.

Here is a list of actions currently supported by Schema.org

For example, the PlayAction could be used to play a song in a music app. This can be achieve with the following markup.

<script type="application/ld+json">
{
"@context": "http://schema.org",
"@type": "MusicGroup",
"name": "Weezer", "potentialAction": {
"@type": "ListenAction",
"target": "android-app://com.spotify.music/http/we.../listen"
}
}
</script>
Once this is implemented, these app actions can begin to appear in search results and knowledge graph.

deep links in app search results

Overview of mobile app search opportunities

In summary, there are five primary ways to increase visibility and engagement for your mobile app in traditional organic search efforts.

Mobile apps in search results

The growth of mobile search is transforming how we define technical SEO, moving beyond front-end and back-end optimization of websites into the realm of structured data and application development. As app indexing expands to include iOS, I suspect the possibilities and opportunities associated with indexing applications, and their corresponding actions, to grow extensively. 

For those with Android apps, app indexing is a potential leapfrog style opportunity to get ahead of competitors who are dominant in traditional desktop search. Those with iOS devices should start by optimizing their app listings, while preparing to implement indexation, as I suspect it’ll be released for iOS this year.

Have you been leveraging traditional organic search to drive visibility and engagement for apps? Share your experiences in the comments below.

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Reblogged 3 years ago from tracking.feedpress.it

Review Traffic Travis

Traffic Travis for Free: http://bit.ly/19PJUMx Traffic Travis gives you a big range of SEO and PPC research tools. Including page analysis, backlink tracking…

Reblogged 3 years ago from www.youtube.com

Announcing the New &amp; Improved Link Intersect Tool

Posted by randfish

Y’all remember how last October, we launched a new section in Open Site Explorer called “Link Opportunities?” While I was proud of that work, there was one section that really disappointed me at the time (and I said as much in my comments on the post).

Well, today, that disappointment is over, because we’re stepping up the Link Intersect tool inside OSE big time:

Literally thousands of sweet, sweet link opportunities are now yours at the click of a button

In the initial launch, Link Intersect used Freshscape (which powers Fresh Web Explorer). Freshscape is great for certain kinds of data – links and mentions that come from newly published pages that are in news sources, blogs, and feeds. But it’s not great for non-news/blogs/feed sources because it’s intentionally avoiding those!

For example, in the screenshot above, I wanted to see all the pages that link to SeriousEats.com and SplendidTable.org but don’t link to SmittenKitchen.com.

That’s 671 more, juicy link opportunities thanks to the hard work of the Moz Big Data and Research Tools teams.

How does the new Link Intersect work?

The tool looks at the top 250,000 links our index has pointing to each of the intersecting targets you enter, and the top 1 mllion links in our index pointing to the excluded URL.

Link Intersect then runs a differential comparison to determine which of the 250K links to each of the intersecting targets are from the same URL or root domain, and removes any of those links that point to the top million links to the excluded URL/root/sub domain.

This means it’s possible for sites and pages with massive quantities of links that we won’t show every intersecting link we know about, but since the sorting is in Page Authority order, you’ll get the highest quality/most important ones at the top.

You can use Link Intersect to see three unique views on the data:

  • Pages that link to subdomains (particularly useful if you’re interested in shared links to sites on hosted subdomains like blogspot, wordpress, etc or to a specific subdomain section of a competitor’s site)
  • Pages that link to root domains (my personal favorite, as I find the results the most comprehensive)
  • Root domains that link to the root domains (great if you’re trying to get a broad sense of domain-level outreach/marketing targets)

Note that it’s possible the root domains will actually expose more links that pages because the domain-level link graph is easier and faster to sort through, so the 250K limit is less of a barrier.

Like most of the reports in Open Site Explorer, Link Intersect comes with a handy CSV Export option:

When it finishes (my most recent one took just under 3 minutes to run and email me), you’ll get a nice email like this one:

Please ignore the grammatical errors. I’m sure our team will fix those up soon 🙂

Why are these such good link/outreach/marketing targets?

Generally speaking, this type of data is invaluable for link outreach because these sites and pages are ones that clearly care about the shared topics or content of the intersecting targets. If you enter two of your primary competitors, you’ll often get news media, blog posts, reference resources, events, trade publications, and more that produce content in your topical niche.

They’re also good targets because they actually link out! This means you can avoid sifting through sites whose policies or practices mean they’re unlikely to ever link to you – if they’ve linked to those other two chaps, why not you, too?!

Basically, you can check the trifecta of link opportunity goodness boxes (which I’ve helpfully illustrated above, because that’s just the kind of SEO dork I am).

Link Intersect is limited only by your own creativity – so long as you can keep finding sites and pages on the web whose links might also be a match for your own site, we can keep digging through trillions of links, finding the intersects, and giving them back to you.

3 examples of Link Intersect in action

Let’s look at some ways we might put this to use in the real world:

#1: I’m trying to figure out who links to my two big competitors in the world of book reviews

First off, remember that Link Intersect works on a root domain or subdomain level, so we wouldn’t want to use something like the NYTimes’ review of books, because we’d be finding all the intersections to NYTimes.com. Instead, we want to pick more topically-focused domains, like these two:

You’ll also note that I’ve used a fake website as my excluded URL – this is a great trick for when you’re simply interested in any sites/pages that link to two domains and don’t need to remove a particular target.

#2: I’ve got a locally-focused website doing plumbing and need a few link sources to help boost my potential to rank in local and organic SERPs

In this instance, I’ll certainly look at pages linking to combinations of the top ranking sites in the local results, e.g. the 15 results for this query:

This is a solid starting point, especially considering how few links local sites often need to perform well. But we can get creative by branching outside of plumbing and exploring related fields like construction:

Focusing on better-linked-to industries and websites will give more results, so we want to try to broaden rather than narrow our categories and look for the most-linked-to sites in given verticals for comparisons.

#3: I’m planning some new content around weather patterns for my air conditioning website and want to know what news and blog sites cover extreme weather content

First, I’m going to start by browsing some search results for content in this field that’s received some serious link activity. By turning on my Mozbar’s SERPs overlay, I can see the sites and pages that have generated loads of links:

Now I can run a few combinations of these through the Link Intersect Tool:

While those domain names make me fear for humanity’s intelligence and future survival, they also expose a great link opportunity tactic I hadn’t previously considered – climate science deniers and the more politically charged universe of climate science overall.


I hope you enjoy the new Link Intersect tool as much as I have been – I think it’s one of the best things we’ve put in Open Site Explorer in the last few months, though what we’re releasing in March might beat even that, so stay tuned!

And, as always, please do give us feedback and feel free to ask questions in the comments below or through the Moz Community Q+A.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

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Raven’s SEO and Marketing Research Tools

http://raventools.com – Learn more about the online marketing research tools in Raven Tools, powered by data from SEMRush, SEOmoz and Majestic SEO.

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The #LocalUp Advanced 2015 Agenda Is Here

Posted by EricaMcGillivray

You may heard that in partnership with 
Local U, we’re putting on a local SEO conference called LocalUp Advanced on Saturday, February 7. We’re super-thrilled to be able to dive more into the local SEO space and bring you top speakers in the field for a one-day knowledge explosion. We’re expecting around 125-150 people at our Seattle headquarters, so this is your chance to really chat with speakers and attendees one-to-one with a huge return on investment.

Moz Pro or Local U Subscribers $699

General Admission $999


LocalUp Advanced 2015 Agenda


8:00-9:00am Breakfast
9:00-9:05am Welcome to LocalUp Advanced 2015! with David Mihm
9:05-9:30am

Pigeons, Packs, & Paid: Google Local 2015 with Dr. Pete Meyers
In the past year, Google shook the local SEO world with the Pigeon update, rolled out an entirely new local pack, and has aggressively dabbled in local advertising. Dr. Pete covers the year in review, how it’s impacted the local landscape, and what to expect in 2015.

Dr. Pete Meyers is the Marketing Scientist for Moz, where he works with the marketing and data science teams on product research and data-driven content. He’s spent the past two years building research tools to monitor Google, including the MozCast project, and he curates the Google Algorithm History.

Pete Meyers

9:30-9:55am

Local Battlegrounds – Tactics, Trenches, and Ghosts with Mike Blumenthal
Join Professor Maps and take a ride in the Way Back Whacky Machine to look at Google’s technologies, tactics, and play books used to create, shape, and dominate the local ecosystem in their image. Learn what’s relevant to marketing today and how these changes are shaping Google’s coming battles in the space.

If you’re in Local, then you know Mike Blumenthal, and here is your chance to learn from this pioneer in local SEO, whose years of industry research and documentation have earned him the fond and respectful nickname ‘Professor Maps.’ Mike’s blog has been the go-to spot for local SEOs since the early days of Google Maps. It’s safe to say that there are few people on the planet who know more about this area of marketing than Mike. He’s also the co-founder of GetFiveStars, an innovative review and testimonial software. Additionally, Mike loves biking, x-country skiing, and home cooking.

Mike Blumenthal

9:55-10:10am Q&A with Dr. Peter Meyers and Mike Blumenthal
10:10-10:45am

Going Local with Google with Jade Wang
Learn about local search with Google. We’ll chat about the potential of local search and discuss how business information gets on Google.

If you’ve gone to the Google and Your Business Forum for help (and, of course, you have!), then you know how quickly an answer from Google staffer Jade Wang can clear up even the toughest problems. She has been helping business owners get their information listed on Google since joining the team in 2012.

Jade Wang

10:45-11:05am AM Break
11:05-11:25am

Getting Local Keyword Research and On-page Optimization Right with Mary Bowling
Local keyword data is often difficult to find, analyze, and prioritize. Get tips, tools, and processes for zeroing in on the best terms to target when optimizing your website and directory listings, and learn how and why to structure your website around them.

Mary Bowling’s been specializing in SEO and local search since 2003. She works as a consultant at Optimized!, is a partner at a small agency called Ignitor Digital, is a partner in Local U, and is also a trainer and writer for Search Engine News. Mary spends her days interacting directly with local business owners and understands holistic local needs.

Mary Bowling

11:25-11:50am

Local Content + Scale + Creativity = Awesome with Mike Ramsey
If you are wondering who is crushing it with local content and how you can scale such efforts, then tune in as Mike Ramsey walks through ideas, examples, and lessons he has learned along the way.

Mike Ramsey is the president of Nifty Marketing with offices in Burley and Boise, Idaho. He is also a Partner at Local U and many other ventures. Mike has an awesome wife and three kids who put up with all his talk about search.

Mike Ramsey

11:50am-12:15pm

Review Acquisition Strategies That Work with Darren Shaw
Darren Shaw will walk you through multiple real-world examples of businesses that are killing it with review acquisition. He’ll detail exactly how they manage to get so many more reviews than their competitors and how you can use their methods to improve your own local search visibility.

Darren Shaw is the President and Founder of Whitespark, a company that builds software and provides services to help businesses with local search. He’s widely regarded in the local SEO community as an innovator, one whose years of experience working with massive local data sets have given him uncommon insights into the inner workings of the world of citation-building and local search marketing. Darren has been working on the web for over 16 years and loves everything about local SEO.

Mike Ramsey

12:15-12:30pm Q&A with Mary Bowling, Mike Ramsey, and Darren Shaw
12:30-1:30pm Lunch
1:30-1:55pm

The Down-Low on LoMo (Local Mobile) SEO with Cindy Krum
Half of all local searches happen on mobile, and that stat is just growing! Map search results are great, but your mobile site has to be great too. Cindy Krum will review the best practices for making your local site look perfect to mobile users and crawlers alike. No mobile site? No problem as you’ll also get tips for how to make the most of mobile searches without one.

Cindy Krum is the CEO and Founder of MobileMoxie, LLC, a mobile marketing consultancy and host of the most cutting-edge online mobile marketing toolset available today. Cindy is the author of Mobile Marketing: Finding Your Customers No Matter Where They Are, published by Que Publishing.

Cindy Krum

1:55-2:20pm

Thriving in the Mobile Ecosystem with Aaron Weiche
A look into the opportunity of creating and growing the mobile experience between your customers and your brand: one strong enough to delight fingers, change minds, and win hearts.

Aaron Weiche is a digital marketing geek focused on web design, mobile, and search marketing. Aaron is the COO of Spyder Trap in Minneapolis, Local U faculty member, founding board member of MnSearch, and a Local Search Ranking Factors Contributor since 2010.

Aaron Weiche

2:20-2:45pm

Content, Conversations, and Conversions with Will Scott
How local businesses, and the marketers who love them, can use social media to bring home the bacon.

Helping small businesses succeed online since 1994, Will Scott has led teams responsible for thousands of websites, hundreds of thousands of pages in online directories, and millions of visits from search. Today, Will leads nearly 100 professionals at Search Influence putting results first and helping customers successfully market online.

Will Scott

2:45-3:10pm

Segmentation Domination with Ed Reese
Learn how to gain powerful insight by creating creative custom segments in Google Analytics. This session shows several real-world examples in action and walks you through the brainstorming, implementation, and discovery process to utilize segmentation like never before.

Ed Reese leads a talented analytics and usability team at his firm Sixth Man Marketing, is a co-founder of Local U, and an adjunct professor of digital marketing at Gonzaga University. In his free time, he optimizes his foosball and disc golf technique and spends time with his wife and two boys.

Ed Reese

3:10-3:30pm PM Break
3:30-4:00pm

Playing to Your Local Strengths with David Mihm
Historically, local search has been one of the most level playing fields on the web with smaller, nimbler businesses having an advantage as larger enterprises struggled to adapt and keep up. Today, companies of both sizes can benefit from tactics that the other simply can’t leverage. David will share some of the most valuable tactics that scale—and don’t scale—in a presentation packed with actionable takeaways, no matter what size business you work with.

David Mihm is one of the world’s leading practitioners of local search engine marketing. He has created and promoted search-friendly websites for clients of all sizes since the early 2000s. David co-founded GetListed.org, which he sold to Moz in November 2012. Since then, he’s served as our Director of Local Search Marketing, imparting his wisdom everywhere!

David Mihm

4:00-4:25pm

Don’t Just Show Up, Stand Out with Dana DiTomaso
Learn how to destroy your competitors with bringing personality to your marketing. Confront the challenges of making HIPPOs comfortable with unique voice, keep brand standards while injecting some fun, and stay in the forefront of your audience’s mind.

Whether at a conference, on the radio, or in a meeting, Dana DiTomaso likes to impart wisdom to help you turn a lot of marketing BS into real strategies to grow your business. After 10+ years and with a focus on local SMBs, she’s seen (almost) everything. In her spare time, Dana drinks tea and yells at the Hamilton Tiger-Cats.

Dana DiTomaso

4:25-4:40pm Q&A with David Mihm and Dana DiTomaso
4:40-5:20pm

Exposing the Non-Obvious Elements of Local Businesses That Dominate on the Web with Rand Fishkin
In some categories and geographies, a local small business wholly dominates the rankings and visibility across channels. What are the secrets to this success, and how can small businesses with remarkable products/services showcase their traits best online? In this presentation, Rand will dig deep into examples and highlight the recurring elements that help the best of the best stand out.

Rand Fishkin is the founder of Moz. Traveler, blogger, social media addict, feminist, and husband.

Rand Fishkin

And if that doesn’t quite tickle your fancy… Workshops!

We’ll also be hosting workshops with our speakers, which are amazing opportunities for you to dig into your specific questions and issues. I know, sometimes I get a little shy to ask questions in front of a crowd or just want to socialize at the after party, so this a great opportunity to get direct feedback.

Time Workshop Option A Workshop Option B
1:30-1:55pm

Reporting Q&A with Ed Reese and Dana DiTomaso
Need help with your reporting? Ed and Dana will make sure you’re on the right track and tracking the right things.

Google My Business Q&A with Jade Wang
Google My Business can be confusing, but Jade Wang is here to lend a hand. She’ll look over your specific problems and help you troubleshoot.

1:55-2:20pm

How to Troubleshoot All Things Local with Mike Blumenthal and Mary Bowling
No Local SEO problem can get by the combined powers of Mike and Mary. This dynamic duo will assist you in diving into your specific questions, problems, and concerns.

Google My Business Q&A with Jade Wang
Google My Business can be confusing, but Jade Wang is here to lend a hand. She’ll look over your specific problems and help you troubleshoot.

2:20-2:45pm

Citation Q&A with David Mihm and Darren Shaw
Getting the right citations for your business can be a powerful boost. David and Darren will show you how to wield citations correctly and creatively for your business.

Google My Business Q&A with Jade Wang
Google My Business can be confusing, but Jade Wang is here to lend a hand. She’ll look over your specific problems and help you troubleshoot.

2:45-3:10pm

Mobile Q&A with Aaron Weiche and Cindy Krum
Local and mobile go hand-in-hand, but mobile implementation, optimization, and perfection can be tricky. Aaron and Cindy will help guide you and your business.

Google My Business Q&A with Jade Wang
Google My Business can be confusing, but Jade Wang is here to lend a hand. She’ll look over your specific problems and help you troubleshoot.


See you in February, friends. And please, don’t hesitate to reach out if you have any questions!

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

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Announcing LocalUp Advanced: Our New Local SEO Conference (and Early Bird Tickets!)

Posted by EricaMcGillivray

That’s right, Moz fans, we’re diving into the the Local SEO conference space. Join us Saturday, February 7th in Seattle as we team up with Local U to present LocalUp Advanced, an all-day intensive local SEO conference. You’ll learn next-level tactics for everything from getting reviews and content creation to mobile optimization and local ranking factors. You’ll also have opportunities to attend workshops and meet other people who love local SEO just as much as you.


Don’t miss the early bird deal! The first 25 tickets receive $200 off registration.

Moz or Local U Subscribers:
$699 ($499 early-bird)
General Admission:
$999 ($799 early-bird)

Also, to get the best pricing, take a 30-day free trial of Moz Pro or sign up for Local U’s forum.


Who’s speaking at LocalUp Advanced?

Dana DiTomaso

Dana DiTomaso

Kick Point

Whether at a conference, on the radio, or in a meeting, Dana DiTomaso likes to impart wisdom to help you turn a lot of marketing BS into real strategies to grow your business. After 10+ years and with a focus on local SMBs, she’s seen (almost) everything. In her spare time, Dana drinks tea and yells at the Hamilton Tiger-Cats.


Darren Shaw

Darren Shaw

Whitespark

Darren Shaw is the President and Founder of Whitespark, a company that builds software and provides services to help businesses with local search. He’s widely regarded in the local SEO community as an innovator, one whose years of experience working with massive local data sets have given him uncommon insights into the inner workings of the world of citation-building and local search marketing. Darren has been working on the web for over 16 years and loves everything about local SEO.


David Mihm

David Mihm 

Moz

David Mihm is one of the world’s leading practitioners of local search engine marketing. He has created and promoted search-friendly websites for clients of all sizes since the early 2000s. David co-founded GetListed.org, which he sold to Moz in November 2012. Since then, he’s served as our Director of Local Search Marketing, imparting his wisdom everywhere!


Jade Wang

Jade Wang

Google

If you’ve gone to the Google and Your Business Forum for help (and, of course, you have!), then you know how quickly an answer from Google staffer Jade Wang can clear up even the toughest problems. She has been helping business owners get their information listed on Google since joining the team in 2012. 


Mary Bowling

Mary Bowling

Local U

Mary Bowling’s been specializing in SEO and local search since 2003. She works as a consultant at Optimized!, is a partner at a small agency called Ignitor Digital, is a partner in Local U, and is also a trainer and writer for Search Engine News. Mary spends her days interacting directly with local business owners and understands holistic local needs.


Mike Blumenthal

Mike Blumenthal

Local U

If you’re in Local, then you know Mike Blumenthal, and here is your chance to learn from this pioneer in local SEO, whose years of industry research and documentation have earned him the fond and respectful nickname ‘Professor Maps.’ Mike’s blog has been the go-to spot for local SEOs since the early days of Google Maps. It’s safe to say that there are few people on the planet who know more about this area of marketing than Mike. He’s also the co-founder of GetFiveStars, an innovative review and testimonial software. Additionally, Mike loves biking, x-country skiing, and home cooking.


Dr. Pete Meyers

Dr. Pete Meyers

Moz

Dr. Pete Meyers is the Marketing Scientist for Moz, where he works with the marketing and data science teams on product research and data-driven content. He’s spent the past two years building research tools to monitor Google, including the MozCast project, and he curates the Google Algorithm History.


Rand Fishkin

Rand Fishkin

Moz

Rand Fishkin is the founder of Moz. Traveler, blogger, social media addict, feminist, and husband.


Why should I attend LocalUp Advanced?

Do you have an interest in or do you delve into local SEO in your work? If so, then yes, you should definitely join us on February 7th. We believe LocalUp Advanced will be extremely valuable for marketers who are:

  • In-house and spending 25% or more of their time on local SEO
  • Agencies or consultants serving brick-and-mortar businesses
  • Yellow Pages publishers

In addition to keynote-style talks, we’ll have intensive Q&A sessions with our speakers and workshops for you to get direct, one-to-one advice for your business. And as with all Moz events, there will be breakfast, lunch, two snacks, and an after party (details coming soon!) included in your ticket cost. Plus, LocalUp Advanced will take place at the MozPlex in the heart of downtown Seattle; you’ll get to check out Roger’s home!

See you in February!

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

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