Using Twitter as a Sitemap

Using Twitter as a Sitemap

From the very beginning, Twitter SEO professionals have already been thinking about how Twitter could aid them with their SEO initiatives. The most(Click here) apparent application is direct link building. This was immediately rejected due to nofollow tags added to every link externally. The only option left was to use it to facilitate indirect link building by creating social networks and linking baiting.

In recent times, there were some speculations that Google might be treating Nofollow differently – dependent on the site. This, along with the knowledge that Google has gained access to the Twitter database, has led us to examine the possibility that URLs posted on Twitter are not considered to be ignored by Google in the way they might appear.

 

Research and Methodology

 

We have run research based on a Polish pet-related classified website http://www.morusek.pl/ with circa 50 ads published every day, and its profile on Twitter: http://twitter.com/morusek.

The profile is continuously updated every 30 minutes, with posts automatically posted containing the advertisement’s title and the description and bit.ly shorter URL. To aid in the study, we’ve changed the URLs published to ensure that they contain?utm_source=twitter. This will allow us to monitor Googlebot visits to ad details URLs with and do not with this prefix. If Googlebot could access a URL that contained the utm_source=twitter tag, it means that it came across it through Twitter since these URLs weren’t displayed any other place on or outside the site.

 

Mouse profile on Twitter

 

Results

 

Within a few days, we had information from 180 ads, including the dates and times that they submitted them, their first Googlebot visit to links that were published on the site (without the utm_source …), and the first Googlebot visit via links that were published on Twitter.com (with the utm_source …).

 

The most significant conclusion of the study can be that visitors came via Twitter hyperlinks. In reality, nearly every ad received at least one visit from URLs that contain the utm_source=twitter. This signifies that Google considers URLs posted on Twitter regardless of their equipped with nofollow, and Googlebot can access their content.

 

But that’s not the only thing! When analyzing these data, it became apparent that visitors to Twitter were 181 minutes more than visits made via the website.

 

The average time between the submission of an ad and the first visit via Twitter or a standard URL

The data can be visualized more effectively by the graphs below. Be aware that the graphs were cropped only to show some of the data so that they’re easier to follow.

 

Googlebot visits via normal hyperlinks.

 

Googlebot visits Twitter via hyperlinks.

 

Another observation that we can observe in the graphs above could be Googlebot visits via Twitter links are more frequent than visits from internal links, where the delay can be as long as 14 hours.

 

Additionally, the average time between submitting a link to Twitter and the first Googlebot visit is considerably shorter than the stated time of 57 minutes. The values indicate the difference between the time between the submission of an advertisement and the first Googlebot visit. In contrast, the time for submitting an ad isn’t the same as the time it takes to publish a link on Twitter. Take a look at the following example:

Googlebot visits via Twitter URLs

You can view the submission date and time and the first Googlebot visit using Twitter hyperlinks for 4 of the advertisements. The program featured on Morusek’s Twitter profile permits uploads of items within 30 minutes. The most recent ad was released 16 minutes earlier than it would be. If we remove extremes and consider only the latest advertisements in each batch upload, the average time between publication and the first Googlebot visit through Twitter links is reduced to 42 minutes.

 

Googlebot visits as opposed to. indexation of pages

 

We’ve established that the links posted on Twitter are considered by Google and trigger Googlebot visits. We do not determine if the links they publish cause indexation of pages. Google may be able to visit these pages to perform real-time searches to determine the authenticity of Twitter profiles.

 

It appears that the links do trigger the indexation of pages. We haven’t yet tried it on a bigger scale. Still, two ads that were not discovered by Googlebot via internal links and only reported related to Twitter Googlebot visits did show up on Google’s SERPs following several hours.

 

Issues

The first few days have been great. We are aware that Twitter improves the speed at which Googlebot visits new websites and improves (or results in) the indexation of their pages. However, there is a problem. As you may have seen on the graph above (the one that shows visits through Twitter), the graph has a problem. Not every green dot is followed by a blue. This indicates that not all links published through Twitter were noticed and resulted in Googlebot visits. From 189 advertisements assessed, 50 were not visited by Twitter links (26 percent).

 

This could be due to how ads are posted on Twitter, i.e., every half minute and up to five at a time. Some might not have been posted in the first place (for instance, when more than five ads were posted within two uploaded uploads). This could result from a lack of trust from Google towards or even the entire Twitter or the profile of Morusek or just his profile.

 

Conclusions

 

However, Twitter could be an excellent method to increase the indexation of websites, particularly for larger websites that have a lot of new content being added each day. Through profiles such as those from Morusek, we can boost the speed with the rate that Google identifies new pages and allows indexation of those not accessible via internal hyperlinks (for instance, because they change their content too fast).

 

Of course, the quantity and efficiency of Googlebot visits will depend on the profile’s popularity and the frequency at which updates are made. I also believe that Google could consider other elements,

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