Panda Algorithm and User-Generated Content
Posted: Sun Dec 22, 2024 10:48 am
Panda does not specifically target user-generated content. Although Panda can target user-generated content, it tends to affect sites that produce low-quality content, such as spammy guest posts or forums filled with spam.
Don’t remove user-generated content just because telegram dating philippines you’ve heard it’s bad or promoted as a Panda-proof solution, whether it’s forums, blog comments, or article contributions. Instead, look at it from a quality perspective.
Many high-ranking sites rely on user-generated content — so many would lose a ton of traffic and rankings by removing this kind of content. Even comments on a blog post can cause it to rank higher or even get a featured snippet.
Word count is not a factor
Word count is another aspect of Panda that is often misunderstood by SEO professionals. Many websites make the mistake of not publishing any content unless it is over a certain limit, such as 250 and 350 words. Instead, Google recommends that you think about how many words your content needs to be in order to engage users.
For example, many pages have very little main content, but Google considers them to be high enough quality to be a featured snippet for a query. In one case, the main content was only 63 words, and it’s hard for many people to write a 350+ word article about this topic in a non-spammy way. So you only need enough words to answer the query.
Affiliate links and ads are not directly targeted
Affiliate sites and sites made for AdSense are generally more vulnerable to Panda than other sites, but this is not because it specifically targets these sites.
An extreme example would be a website whose primary function is to direct users to other websites via advertising or affiliate links, whose content is widely available on the Internet, or which has been hastily produced and explicitly constructed to attract visitors from search engines.
Mueller also said: "But at the same time, we found that many affiliates are basically lazy people who copy and paste the information they receive and then publish it on their own websites. This kind of low-quality content and monotonous content is difficult for us to display in search results."
In other words, these sites were all hit for the same reason: they failed to provide compelling, unique, engaging content .
Timeline
Panda almost certainly has the most extensive track record of public dates for relevant updates. This is partly because Panda operates outside of Google’s core algorithm, so content scores are only affected on or near the date of a new Panda update.
This continued until June 11, 2013, when Cutts stated at SMX Advanced that while Panda was not directly incorporated into Google's core algorithm, its data was updated monthly and rolled out slowly over the course of a month, ending the sudden impact of Panda updates on the industry.
Therefore, Panda mentioned that it will disappear after 2017.
The numbering convention is a bit confusing.
It is often assumed that core updates to the Panda algorithm correspond to 1.0, 2.0, 3.0, and 4.0, but no update was ever called 3.0, and in retrospect, 3.1 was not a core update to Panda.
Data updates (updates to search results but not the Panda algorithm itself) were usually numbered as you would expect for a software update (3.2, 3.4, 3.5, etc.) However, there were so many data updates to the version 3 algorithm that at one point this naming convention was abandoned and the industry simply referred to Panda updates by the total number of updates (both updates and core updates).
Don’t remove user-generated content just because telegram dating philippines you’ve heard it’s bad or promoted as a Panda-proof solution, whether it’s forums, blog comments, or article contributions. Instead, look at it from a quality perspective.
Many high-ranking sites rely on user-generated content — so many would lose a ton of traffic and rankings by removing this kind of content. Even comments on a blog post can cause it to rank higher or even get a featured snippet.
Word count is not a factor
Word count is another aspect of Panda that is often misunderstood by SEO professionals. Many websites make the mistake of not publishing any content unless it is over a certain limit, such as 250 and 350 words. Instead, Google recommends that you think about how many words your content needs to be in order to engage users.
For example, many pages have very little main content, but Google considers them to be high enough quality to be a featured snippet for a query. In one case, the main content was only 63 words, and it’s hard for many people to write a 350+ word article about this topic in a non-spammy way. So you only need enough words to answer the query.
Affiliate links and ads are not directly targeted
Affiliate sites and sites made for AdSense are generally more vulnerable to Panda than other sites, but this is not because it specifically targets these sites.
An extreme example would be a website whose primary function is to direct users to other websites via advertising or affiliate links, whose content is widely available on the Internet, or which has been hastily produced and explicitly constructed to attract visitors from search engines.
Mueller also said: "But at the same time, we found that many affiliates are basically lazy people who copy and paste the information they receive and then publish it on their own websites. This kind of low-quality content and monotonous content is difficult for us to display in search results."
In other words, these sites were all hit for the same reason: they failed to provide compelling, unique, engaging content .
Timeline
Panda almost certainly has the most extensive track record of public dates for relevant updates. This is partly because Panda operates outside of Google’s core algorithm, so content scores are only affected on or near the date of a new Panda update.
This continued until June 11, 2013, when Cutts stated at SMX Advanced that while Panda was not directly incorporated into Google's core algorithm, its data was updated monthly and rolled out slowly over the course of a month, ending the sudden impact of Panda updates on the industry.
Therefore, Panda mentioned that it will disappear after 2017.
The numbering convention is a bit confusing.
It is often assumed that core updates to the Panda algorithm correspond to 1.0, 2.0, 3.0, and 4.0, but no update was ever called 3.0, and in retrospect, 3.1 was not a core update to Panda.
Data updates (updates to search results but not the Panda algorithm itself) were usually numbered as you would expect for a software update (3.2, 3.4, 3.5, etc.) However, there were so many data updates to the version 3 algorithm that at one point this naming convention was abandoned and the industry simply referred to Panda updates by the total number of updates (both updates and core updates).