Based on the long-term foreign trade SEO experience summary, the establishment of product keyword database plays a decisive role in the entire foreign trade network marketing. Of course, there are many sources of keywords, and we mainly target the Google search engine. Let’s talk about how to use the Google keyword index query tool to build a keyword library for our own products.
First, find out the main names of our products
Taking wine bottles as an example, the main names of glass wine bottles are: glass bottle, liquor bottles, alcohol bottles, spirit bottle. Be sure to determine whether each keyword is our product, and you can confirm it on mainstream foreign platforms such as Google, Amazon, and YouTube. If the positioning is wrong, we will waste a lot of time, energy and money. For example, liquor bottles, alcohol bottles, and spirit bottles are more accurate than glass bottles.
Second, expand keywords
Then put the keywords we found into the Google Adwords keyword tool (you can use kwfinder instead or https://neilpatel.com/ubersuggest/) to expand all related words, and we put them in word by word to download the keyword table , get 4 keyword tables. Then continue to screen to determine whether it is our product demand, and the search volume, price, competition and other data of keywords must be retained.
Third, continue to expand related words
Use Lsigraph to put the keywords screened out in the second step into Lsigraph one by one to continue to expand the keywords, select the expanded keywords, and put them into kwfinder to get the data. The obtained data is classified according to keywords, search volume, CPC price, and SEO competition.
Fourth, export competitor keywords
Find 60% of our products on websites with better Google rankings. This can be found with a Google search query. It is best to sort out 5-10 websites, if the number is not enough, at least 3 websites are required. Then use SEMRUSH to derive competitor keywords.
Fifth, combine the sorted out keywords into a table, sort and classify according to keywords, search volume, CPC price, inquiry probability for search purposes, SEO competition, and long-tail words.
The classification attributes of each product are different, and the classification method is determined according to the obtained data.
Sixth, use KeywordXtreme to sort out long-tail words and improve the long-tail word module.
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