Using AI to enrich MPG source files

Install & Configure SheetGPT

SheetGPT is a powerful AI tool that integrates with Google Sheets. You can get it from here.

Alternative AI Plugins

Note: There are other AI plugins that can also integrate with Google Sheets for enriching your data:

• Cohesive AI - Designed to be Google Sheets-native for enrichment and web scraping.
• SheetMagic - Offers bulk product descriptions, SEO content creation, and web scraping.
• PromptLoop - Excellent for text analysis, data enrichment, and sentiment analysis.
• GPT for Work - A versatile AI plugin for Google Sheets offering a range of data enrichment and text generation features.

For this guide, we'll focus on using SheetGPT for data enrichment.

Set Up the Formula

Once you've installed and configured SheetGPT, follow these steps to generate AI-driven content within your spreadsheet:

1. Prepare your dataset: In this example, we're using a Currency Dataset that looks like this:
   You should have a Google Sheet with columns like "CurrencyFrom" and "CurrencyTo" containing the currencies you want to compare. Here is the spreadsheet that we're using for this example: Link
2. Create a new column (e.g., "Description") where you want to generate the AI output.
3. Enter the formula in the first row of the new column. Here’s an example formula that compares two currencies:

<code>=GPT("Write a short description comparing the currency " & A2 & " and the currency " & C2 & ". Mention the countries that use them and describe any major historical events involving these currencies.")
	

4. Drag the formula down to automatically generate descriptions for the entire dataset.
   

Example Output

Here’s an example of the output generated by SheetGPT:

For USD and EUR:

The United States dollar (USD) and the euro (EUR) are two of the most widely used currencies in the world, representing the economies of the United States and the Eurozone, respectively. The USD is the official currency of the United States and several of its territories, while the EUR is used by 19 of the 27 European Union member countries, collectively known as the Eurozone, including Germany, France, Italy, and Spain.


Historically, the USD has maintained its status as the world's primary reserve currency since the mid-20th century, particularly following World War II when the Bretton Woods Agreement established its dominance in global finance. This was solidified during the 1970s as the U.S. transitioned to a fiat currency system.


In contrast, the euro was introduced in 1999 as a virtual currency and became physical in 2002. It was created to promote economic stability and integration among European nations, and while it has facilitated greater trade and travel within Europe, it faced significant challenges during the Eurozone crisis around 2010, which tested the resilience of the currency and the economic policies of member states.


Both currencies play a crucial role in international trade, finance, and monetary policy, influencing economies and markets globally.

For USD and GBP:

The United States Dollar (USD) and the British Pound Sterling (GBP) are two of the world’s most prominent currencies, each serving as the primary legal tender in their respective countries. The USD is the official currency of the United States, while the GBP is used in the United Kingdom, which encompasses England, Scotland, Wales, and Northern Ireland.


Historically, the GBP is one of the oldest currencies still in use, with roots tracing back to the Anglo-Saxon period, and it became a global standard during the British Empire's expansion in the 19th century. The GBP famously faced challenges during World War II, leading to the establishment of the Bretton Woods system post-war, which pegged currencies to the dollar.


Conversely, the USD became the world's dominant reserve currency after World War II, largely due to the economic strength of the United States and the Bretton Woods Conference in 1944, which established the dollar as the primary currency for international trade. The dollar's status as a global benchmark was solidified during the latter half of the 20th century, especially during events like the 1971 Nixon Shock, which ended the gold standard.


Today, both currencies are integral to international finance; however, the USD is frequently seen as a safe-haven asset, while the GBP's value is closely tied to the UK's economic performance and policies, as illustrated by fluctuations following Brexit.

Benefits

Using AI-driven content generation in Google Sheets, like SheetGPT, makes enriching data and improving SEO remarkably simple. Instead of manually writing content for each page, AI can generate unique, keyword-rich descriptions in seconds, transforming large datasets into dynamic, SEO-optimized pages. This not only saves time but also helps Google understand your pages better, improving rankings and visibility.

By automating content creation for currency comparisons, product listings, or any dataset-driven content, you ensure each page is filled with relevant information. This boosts user engagement and enhances your website’s overall SEO performance. AI-generated content scales effortlessly, making it a powerful tool for enriching pages while maintaining high-quality, SEO-optimized descriptions.

More Ideas

Here are a few more ways to use AI plugins for enriching your dataset:

• Product Descriptions: Automatically generate product descriptions for e-commerce datasets.
• Company Profiles: Use stock tickers to generate one-sentence company descriptions for a dataset.
• Location Insights: Generate interesting facts about cities or countries in geographical datasets.

By using the power of AI in Google Sheets, you can automate the process of generating detailed, insightful content for any dataset!