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This article is about the changes in artificial intelligence and SEO technology. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Over the past year, search engines, or expanded to the Internet industry, the hottest topic is undoubtedly artificial intelligence. The technology and methods of SEO have not changed much in the past 10 years, and for the first time in these years, I feel that SEO will be completely changed by artificial intelligence in the near future.

So far, search engine engineers have repeatedly denied using their own site traffic statistics in the ranking algorithm. Possible reasons include:

The noise is too loud and it is too easy to cheat. Look at the past to do click, now do Baidu fast row how many, you will know how big the cheating market is. Brush not only for yourself, but also for competitors to brush the bounce rate high.

Users behave differently in different scenarios. High bounce rate does not necessarily mean that the quality of the page is not high.

Some websites do not use the statistical services of search engines, how to rank these sites?

But we really observe that users' access to data does affect page rankings. Is that contradictory? Artificial intelligence may be the answer.

After writing AlphaGo, Deep Learning and SEO last year, I saw someone on the Internet saying that I was talking nonsense. Don't SEO when you see a new term. I wonder if a year later, anyone will still think that artificial intelligence will influence and change the idea of SEO is nonsense.

Recent development of artificial intelligence

Let's take a look at a few things that are noteworthy and related to search in the field of artificial intelligence over the past few years:

In 2011, Wu Enda created Google Brain, a very large-scale artificial neural network. Probably the earliest Google artificial intelligence project.

In May 2014, Wu Enda joined Baidu as chief scientist, and must also be responsible for AI. On March 20, 2017, Wu Enda resigned. This should have nothing to do with artificial intelligence itself, but with the new boss. See below.

In 2015, Google launched RankBrain, an algorithm based on deep learning, and claimed that RankBrain was the third largest ranking factor. (the top two ranking factors are content and links.) RankBrain is mainly used to find pages that do not exactly match users' query terms (so traditional ranking algorithms are not very effective), but actually answer users' queries very well. Remember this is a bit of a mouthful, because Baidu has a similar algorithm and uses it earlier than Google, so write it next time.

In October 2015, AlphaGo beat European go champion Fan Kui 5-0. The news didn't come out until January 2016.

In March 2016, AlphaGo beat Lee se-dol 4-1. The game won by Lee se-dol may be the last game of human victory over AI.

In just a few days from December 29, 2016 to early 2017, AlphaGo with the user name Master beat almost all the best human beings in China, Japan and South Korea 60-0 on the online platforms of Yancheng and Yehu, including Ke Jie, Nie Weiping, Gu Li, Chang Hao, Park Tinghuan and Iyama Yutai. .. It was a draw because the network was disconnected.

In January 2017, Lu Qi, former vice president of Microsoft, joined Baidu as president. Li Yanhong specifically mentioned in his welcome speech that "at the same time, Lu Qi is also a world-class technical authority in the field of artificial intelligence."... Baidu has decided to list artificial intelligence as the company's most important strategic direction in the next decade.... the arrival of Lu Qi will greatly ensure the smooth realization of this strategy.

Since September 2016, Google has launched Google translators with deep learning methods in various languages. Originally, I didn't pay much attention to the news. I occasionally used a Google translation, which was so high that it was beyond my imagination.

The leading companies in the field of artificial intelligence, which happen to be search engines, happen to be? Google developed AlphaGo just to play chess? Just for a driverless car? Baidu artificial intelligence team has now grown to 1300 people, dig Wu Enda, dig Lu Qi, in order to form a group to participate in the strongest brain?

Artificial intelligence for search

Even without RankBrain, which definitely uses artificial intelligence, we can guess that search engines spend so much energy on artificial intelligence, not just in peripheral or new businesses, and there is no reason why they should not use artificial intelligence in their core business, that is, search.

If you think about it carefully, you can see that the problems that AlphaGo plays go and search rankings do not seem to touch each other, but they are very similar in nature and can be solved in the same way:

AlphaGo by learning countless games of chess, including human history of chess games, more is AlphaGo self-match, accumulate huge amounts of data, in the face of a certain set to make a judgment: next hand, where is the winning rate higher?

The search engine ranking algorithm determines whether the page is of high quality or low quality by learning the data given by the quality evaluator and searching for users to click to access the data, etc. Has this page been cheated? Is this page relevant or irrelevant to query terms?

When traditional search algorithms answer the above questions, engineers need to select ranking factors, adjust the weight of ranking factors, and calculate the answer according to the established formula according to common sense, engineering knowledge, feelings, user feedback and so on. Artificial intelligence-based algorithms do not need engineers to tell it what ranking factors to use, but to learn by themselves and figure out which ranking factors to use and how much weight they each account for. The factors considered by artificial intelligence are likely to be baffling to humans.

Teacher Wu Jun said a sentence in the Intelligent Age, which can be used to understand this situation: in the Intelligent Age, the answer can be found directly in big data, although you may not know the reason (general idea). In the traditional search algorithm, engineers need to know why before they can write the algorithm. Artificial intelligence looks for answers directly from the data, although engineers don't know why.

The biggest disadvantage of artificial intelligence, the disadvantage for people, it is a black box for people, engineers do not know how it is calculated, according to what calculation. When the result is right, everything is fine, but when the result is not right, the engineer does not know why it is wrong, it is not good to debug. Perhaps for this reason, the core of search engine algorithms has not been replaced by artificial intelligence, search engines need to be very careful, otherwise they will be so wrong that they do not know why they are wrong.

How does artificial intelligence affect SEO?

Going back to the first question, are user clicks, visits and other behaviors a ranking factor? If so, how to solve the problem of noise and cheating? The website that does not use search engine statistics service, cannot know exactly visit depth, stay time and so on, how to do this?

It is conceivable that the algorithm may not take user access data as a direct ranking factor, but can be used as a way of verification and quality control, for example, after the traditional ranking algorithm calculates the relevant pages, artificial intelligence algorithms pick out pages that have the same access and other characteristics as known cheating pages, lower their ranking or simply not return them. Remember here the potentially amazing accuracy of artificial intelligence. I remember that Google said in the middle of last year that AlphaGo was roughly equivalent to 13 human chess players at that time, and the chess game at the end of the year seemed to prove that this was probably not bragging. Ke Jie, Nie Weiping and others have expressed something like this after the game with Master: after watching AlphaGo/Master 's chess, they think that some human understanding of go is probably wrong.

The astonishing accuracy of this judgment may be an irreparable blow to Black Hat SEO in the future. If the search engine algorithm to determine whether a page is cheating, with 13 chess players, far beyond the human level and accuracy, then how should we mortals cheat?

Similarly, if the site does not use the traffic statistics service of the search engine, artificial intelligence may judge that the site A has features x, y, z … Another bunch of websites that use their own statistical services also have features x, y, z. It is estimated that the visit depth and length of stay of site An are the same as those of known sites. Here, features x, y, z. What is it is learned by artificial intelligence itself, and it is likely that there are things that human beings do not expect and feel irrelevant. Based on the appalling power of artificial intelligence, the conclusion is likely to be correct.

Artificial intelligence will have a subversive impact on SEO keyword research, page copywriting, website structure and so on.

Thank you for reading! This is the end of this article on "what are the changes in artificial Intelligence and SEO Technology?". I hope the above content can be helpful to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

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