In the point stone forum, I saw too many posts discussing blog message grouping software and various experiences. Many people think that many websites rely on blog spam to improve their rankings, and the results are good, and the website is not punished. However, there are two points to consider:
1) The large amount of spam we see is not necessarily the reason for the ranking of the site. In order to reduce manslaughter, search engines usually ignore spam messages, and do not directly punish websites that leave spam messages. Otherwise, they are too dangerous and can be easily used to frame competitor websites. The rankings of these sites are likely to be the reason we didn’t find them, such as some very strong external links.
2) Not punishing now, not necessarily means not punishing in the future. It is actually not very accurate to say that the punishment is accurate. When the search engine finds these spam messages, the weight and voting power of these spam links are removed, and the ranking of the website is lowered. It seems to be a punishment, but it is only to make the website rank back to it. The place.
How does a search engine judge spam? There may be the following methods.
See the time relationship of the message
For example, within a few seconds of the same blog, the message link of the same website appears on different posts, which is definitely not normal. Or spam links to the same website appear on multiple blogs at almost the same time. This is not for the individual bloggers, but for search engines, detecting these is easy.
Does the message contain a URL?
Is the URL just a text or a hyperlink? Some spam software or people who leave spam messages are more ambitious, not satisfied with leaving only signatures, and leaving URLs in the message content. In the filtered spam, I often see a few pages of rubbish. This kind of spam, I guess the stupid search engine can also judge.
A lot of spam messages are often just saying, good articles, good things, top words and the like. This short and meaningless will increase the likelihood of being suspected.
Blacklisted IP and website
As mentioned in the previous post, anti-spam will collect those spam sites and IP addresses. Once these blacklists are uploaded, they are directly filtered out. I believe search engines also have similar databases.
How old and new is the blog post
If the blog post is already two years ago, and there is no new message for a year and a half, it’s a bit suspicious.
Search engines can use semantic analysis to determine whether a message has a certain relevance to a blog post. The grubbishleft by the bulk software is usually meaningless, and it is irrelevant wherever it is placed.
Multiple blog message modes
Bulk software will spam a lot of blogs, and the domain name and message content are the same or similar. This mode will cause doubt.
Unlike the meaningful messages left by real readers, mass-sending software quickly leaves a lot of links, and search engines can detect this.
Some of the spam features listed above have certainly been used by anti-spam and search engines, but not necessarily all. There are certainly other factors that we can’t think of, but the search engine thinks. Search engines are always smarter than our SEO.
If you make a piece of software that avoids all the places that may be suspected above, then you are a master.