We’ve heard about students using AI tools to help them write essays for university with varying degrees of success. So we wondered—could ChatGPT write the AGS blog? We asked the ChatGPT bot to write an essay on using demographics for retail site selection, which you can read below. How’d they do?

“Retail site selection is the process of choosing the location for a new store or business. One important factor to consider when making this decision is demographics, or the characteristics of the population in the area where the store will be located. By understanding the demographics of an area, retailers can make informed decisions about where to open a store and what products to sell.

Demographic information can be used to identify areas with a high concentration of potential customers. For example, if a retailer is planning to open a store that sells children’s clothing, they would want to locate their store in an area with a high population of families with young children. Demographic data can also be used to identify areas with a high concentration of consumers with disposable income, as these consumers are more likely to make purchases at a retail store.

In addition to identifying potential customers, demographic data can also be used to identify areas with a lack of competition. For example, if a retailer is planning to open a store that sells luxury goods, they would want to locate their store in an area with few other luxury retailers. This would allow the retailer to target a specific market and avoid competing with other stores.

Retailers can also use demographic data to identify areas with a high population growth rate. These areas are likely to see an increase in the number of potential customers in the future, making them a good location for a new store. Additionally, demographic data can be used to identify areas with a high proportion of renters, as these areas may be more likely to see a turnover of residents, which can provide a steady stream of new customers.

Finally, demographic data can also be used to identify areas that are culturally diverse. This can be useful for retailers that sell products that are specific to certain cultures or ethnic groups. For example, a retailer that sells traditional clothing from a specific country would want to locate their store in an area with a high concentration of people from that country.

In conclusion, retailers can use demographic data to make informed decisions about where to open a new store. By understanding the characteristics of the population in an area, retailers can identify potential customers, avoid competition, and identify areas with a high population growth rate and cultural diversity. By considering demographic information when selecting a location, retailers can increase the chances of success for their new store.”

Overall, their assessment wasn’t half bad. To be honest, we are pretty shocked at how good it was. Demographic data is obviously used to find your target audience for a retail location, and the AI even picked up on data like our Retail Gap, useful in finding opportunities in the market. So, what do you think about their blog post skills? Does the regular author of this blog need to change their status on LinkedIn to “open to work”?