How to increase traffic by 2.5x in 12 months with Elasticsearch and ChatGPT
Posted: Sun Feb 02, 2025 6:42 am
There are countless other Japanese e-commerce site platforms, including Shopify, Makeshop, our own Live Commerce, and others, but "site search" is always implemented as a standard feature on e-commerce sites. By utilizing ChatGPT, provided by OpenAI, for this function, new e-commerce site innovations are occurring.
By analyzing product data with ChatGPT, we can obtain tags related to the product and generate new traffic from these tags. This means that we have been able to get about 2.5 times more traffic compared to the past 12 months.
Let me explain in detail.
Product titles and product images are two pieces of data that are always present on any e-commerce site. By analyzing these two pieces of data using ChatGPT or Google Vision AI , you can obtain product features.
If you make it possible to search the acquired "features" within the site, users will be able to find the desired product using only the text link of its features , even if they don't know the product name .
Let me give you an example using a golf driver.
Product Name: Callaway Rogue Driver
Product image:
By analyzing this type of text data using AI, it is possible to obtain the following greece consumer email list product features:
Callaway
Caraway (Such spelling variations can also be obtained)
Chara-way
Caroway
Long-distance performance
High tolerance
Latest Technology
Adjustable
Aerodynamic Design
In addition, the following product series names can be obtained from the manufacturer name Callaway.
EPIC
ROGUE
MAVRIK
BIG BERTHA
APEX
For each product, we were able to add at least 15 new keywords that were not included in the product description.
By analyzing product data with ChatGPT, we can obtain tags related to the product and generate new traffic from these tags. This means that we have been able to get about 2.5 times more traffic compared to the past 12 months.
Let me explain in detail.
Product titles and product images are two pieces of data that are always present on any e-commerce site. By analyzing these two pieces of data using ChatGPT or Google Vision AI , you can obtain product features.
If you make it possible to search the acquired "features" within the site, users will be able to find the desired product using only the text link of its features , even if they don't know the product name .
Let me give you an example using a golf driver.
Product Name: Callaway Rogue Driver
Product image:
By analyzing this type of text data using AI, it is possible to obtain the following greece consumer email list product features:
Callaway
Caraway (Such spelling variations can also be obtained)
Chara-way
Caroway
Long-distance performance
High tolerance
Latest Technology
Adjustable
Aerodynamic Design
In addition, the following product series names can be obtained from the manufacturer name Callaway.
EPIC
ROGUE
MAVRIK
BIG BERTHA
APEX
For each product, we were able to add at least 15 new keywords that were not included in the product description.