There is no doubt that voice search will be the next innovative direction of Internet marketing technology, and the long-tail keywords that are well known to everyone play a vital role. When we edit listings or create copywriting, we can spend more time on long-tail keywords related to the target products. Amazon’s A10 algorithm may not attach much importance to long-tail words, but Google is more inclined to such keywords. As more such long-tail words accumulate, Google will continue to optimize and match user searches and point to our product listings.
Google’s search algorithm has developed to this day, and AI’s logical judgment has become very powerful, and the AI core is constantly being strengthened, and search pointing has become more and more accurate. For example, when the user’s search term contains the word “buy”, Google will push the e-commerce link to the front. Therefore, we can find more long-tail words with obvious search intent and bury them in the copy of our Listing. As you can see, there are more user questions, brand product introductions, WIKI encyclopedias and other information results in the SERP.
Obviously, Google’s AI uses big data to infer that my search intention is more inclined to buy such products, so most of the top SERPs are shopping website information covering keyword products, especially Amazon’s global sites Listing links account for the highest proportion.
It can be seen that long-tail keywords further indicate the user’s search intent, and Google will match the corresponding results and push them to the user. Over time, relevance is established, and relevance is the most favored by Amazon’s A10 algorithm. With a two-pronged approach, the ranking of Listing keywords will naturally rise.