Google still ranks webpages based on the content, code, and links they find with a desktop crawler. They’re working to update this old-school approach in favor of what their mobile crawlers find instead. Although the rollout will probably happen in phases over time, I’m calling the day this change goes live worldwide “D-day” in the post below. Mobilegeddon was already taken.
You don’t want to be in a situation on D-day where your mobile site has broken meta tags, unoptimized titles and headers, missing content, or is serving the wrong HTTP status code. This post will help you prepare so you can sleep well between now then.
When two or more versions of a website are available on the same URL, a “parity audit” will crawl each version, compare the differences, and look for errors.
You should do a parity audit if content is added, removed, hidden, or changed between devices without sending the user to a new URL.
This type of analysis is also useful for mobile sites on a separate URL, but that’s another post.
Is the mobile version of the website “optimized” and crawlable? Are all of the header response codes and tags set up properly, and in the same way, on both versions? Is important textual content missing from, or hidden, on the mobile version?
The last thing you want to do is scramble to diagnose a major traffic drop on D-day when things go mobile-first. Even if you don’t change anything now, cataloging the differences between site versions will help diagnose issues if/when the time comes.
It may also help you improve rankings right now.
I know an excellent team of SEOs for a major brand who, for severals months, had missed the fact that the entire mobile site (millions of pages) had title tags that all read the same: “BrandName – Mobile Site.” They found this error and contacted us to take a more complete look at the differences between the two sites. Here are some other things we found:
It sounds complicated, but really it boils down to a few simple steps:
You can run two crawls (mobile and desktop) with DeepCrawl as well. However, reports like “Mobile Word Count Mismatch” do not currently work on dynamic sites, even after two crawls.
The hack to get at the data you want is the same as with Screaming Frog: namely, running two crawls, exporting two reports, and using Vlookups in Excel to compare the columns side-by-side with URL being the unique identifier.
Here’s a simplified example using an export from DeepCrawl:
As you can see in the screenshot above, blog category pages, like /category/cro/, are bigly different between devices types, not just in how they appear, but also in what code and content gets delivered and rendered as source code. The bigliest difference is that post teasers disappear on mobile, which accounts for the word count disparity.
Word count is only one data point. You would want to look at many different things, discussed below, when performing a mobile/desktop parity audit.
For now, there does NOT appear to be an SEO tool on the market that crawls a dynamic site as both a desktop and mobile crawler, and then generates helpful reports about the differences between them.
Our industry toolmakers are hot on the trail, and at this point I’d expect features to release in time for D-day.
We are working on Changed Metrics reports, which will automatically show you pages where the titles and descriptions have changed between crawls. This would serve to identify differences on dynamic sites when the user agent is changed. But for now, this can be done manually by downloading and merging the data from the two crawls and calculating the differences.
Dr. Pete says they’ve talked about comparing desktop and mobile rankings to look for warning signs so Moz could alert customers of any potential issues. This would be a very helpful feature to augment the other analysis of on-page differences.
They’re thinking about doing the same to run these parity audit reports (mobile/desktop difference checker), which would be a big step forward for us SEOs. Because most of these disparity issues happen at the template/page type level, taking URLs from different crawl depths and sections of the site should allow this tool to alert SEOs of potential mismatches between content and page elements on those two versions of the single URL.
Aside from the oversensitive hash values, SF has no major advantage over DeepCrawl at the moment. In fact, DeepCrawl has some mobile difference finding features that, if they were to work on dynamic sites, would be leaps and bounds ahead of SF.
That said, the process shared below uses Screaming Frog because it’s what I’m most familiar with.
You can make a copy of it here. Follow the instructions in the Readme tab. Note: This is a work in progress and is an experimental tool, so have fun!
As Lunametrics puts it in their excellent guide to Screaming Frog Tab Definitions, the hash value “is a count of the number of URLs that potentially contain duplicate content. This count filters for all duplicate pages found via the hash value. If two hash values match, the pages are exactly the same in content.”
When I asked DeepCrawl about it, I found out why:
The problem with using a hash to flag different content is that a lot of pages would be flagged as different, when they are essentially the same. A hash will be completely different if a single character changes.
First, run two separate crawls. Settings for each are below. If you don’t see a window or setting option, assume it was set to default.
Configurations —> Spider
Your settings may vary (no pun intended), but here I was just looking for very basic things and wanted a fast crawl.
Configurations —> HTTP Header —> User-Agent
When finished, save it as desktop-crawl.seospider and run the Export All URLs report (big Export button, top left). Save the export as desktop-internal_all.csv.
Hit the “Clear” button in Screaming Frog and change the User-Agent configuration to the following:
When finished, save it as mobile-crawl.seospider and run the Export All URLs report. Save the export as mobile-internal_all.csv.
Import each CSV into a separate tab within a new Excel spreadsheet.
Create another tab and bring in the URLs from the Address column of each crawl tab. De-duplicate them.
Use Vlookups or other methods to pull in the respective data from each of the other tabs.
A tab with a single row per URL, but with mobile and desktop columns for each datapoint. It helps with analysis if you can conditionally format/highlight instances where the desktop and mobile data does not match.
Believe it or not, you can usually fit the same amounts of navigation links onto a mobile site without ruining the user experience when done right. Here are a ton of examples of major retail brands approaching it in different ways, from mega navs to sliders and hamburger menus (side note: now I’m craving White Castle).
This is one of those things that seems like it could produce more caching problems and headaches than solutions, but Google says to use it in cases where the content changes significantly between mobile and desktop versions on the same URL. My advice is to avoid using Vary User-Agent if the variations between versions of the site are minimal (e.g. simplified navigation, optimized images, streamlined layout, a few bells and whistles hidden). Only use it if entire paragraphs of content and other important elements are removed.
If your desktop site has twenty footer links to top-selling products and categories using optimized anchor text, and your mobile site has five links going to pages like “Contact Us” and “About” it would be good to document this so you know what to test should rankings drop after a mobile-first ranking algorithm shift.
Do things like title tags, meta descriptions, robots meta directives, rel=canonical tags, and rel=next/prev tags match on both versions of the URL? Discovering this stuff now could avert disaster down the line.
There is no magic formula to how much content you should provide to each type of device, just as there is no magic formula for how much content you need to rank highly on Google (because all other things are never equal).
Imagine it’s eight months from now and you’re trying to diagnose what specific reasons are behind a post-mobile-first algorithm update traffic drop. Do the pages with less content on mobile correlate with lower rankings? Maybe. Maybe not, but I’d want to check on it.
I suspect it won’t be long before this type of audit is made unnecessary because we’ll ONLY be worried about the mobile site. Until then, please comment below to share which differences you found, and how you chose to address them so we can all learn from each other.
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