AI Prompts for Better Product Descriptions

Product Description has always been an important toll for e -commerce selling. But it is difficult to produce a unique and convincing copy.

So almost a decade ago, I wrote that I have become one of my favorite articles, “How To Determine E -Commerce’s Product Product Product Products.” The piece describes a structure process and, ultimately, prepares the detail for a spoon of soup:

Some heartbroken nodal or creamy claims hungry for chador? The spoon of this soup has a large cup, which means to prevent buses and broth in your mouth. In fact, a spoon of this soup can conduct almost three times more Sopi goodness than your standard table spoon. You can cut three times more, or you can buy a spoon of soup and slip on a large scale.

Detail on a scale

I was struggling with the details of the product on my employer’s website, a regional brick and click form and wrench retailer. We had thousands of items that needed details for our e -commerce site. I tried three options: Amazon’s mechanical Turkey, Romanian product description agency, and a template -based tool.

Artificial intelligence has made it easier to develop a product in a mechanical or algorithmic manner, such as manufacturing.

Writers in Turkish or Romania approached the plot in every detail like a novel. Some specifications were excellent, but not all. The bad people lost this.

After that I developed the product description of the “manufacturing” process.

• Pay attention to one thing. The first feature or competitive advantage of the item.
• Connect to any benefit. Explain how the feature helps buyer.
• Explain and explain. Make the feature and beneficial bridge precise and understandable.
• Check your words. Remove the spare, add the action function, and spark interest.
• Spell and grammar check. The sloppy text damages confidence and damage.
• Add an introduction. Polish, make human, and enter a hook.
• Add calls to action. Encourage sales.

This process was a framework for authors and marketing teams.

Crazy Libs

Unfortunately, this process took a long time. So we doubled a tactic that is played by playing “Crazy Libs”-a template-based Word Game-based and wrote another article, “Prepare the product description with natural language software.”

Natural language templates were the predators of today’s productive artificial intelligence platform. Templates used the product category variables to copy the mass production.

A template for LED television may look like this:

{{“Experience” || “Enjoy” || “Imagine”}} {{screen size> = 55? {{“Like Cinema” || “Theater styling”} “to view”: “Your shows and movies you like:}} with the comfort of your {{” residential room “|| {{{{brand}} {{{{{{{type}} with television” home “}.

This example came from Best Bay:

Experience with this 55 -inch insurance LED television like your room comfortably like cinema. This amazing HD shows the Blu -ray and high definition films in a full 1080p resolution with detail. Use three HDMI inputs to create a home theater experience with this Instania LED TV and your other audio and video devices.

Generative A.

I have used “manufacturing” and natural language process at dozens of e -commerce sites.

But Generative AI makes it easy to operate with better results – to shape in immediately engineering from templates and natural language.

Start with Google Five Step Prampitt Engineering Framework: Task, context, references, diagnosis, and repetition.

Task

Instruct AI what to do. The purpose here is to prepare the product detailing products focusing on a single feature.

First, prepare a template -like prompt:

Write a great product description for (product name), focus on (detailed key feature). Describe how (short key feature) benefits users, provide specific examples and comparisons.

May be variable:

• (Product name) – “One soup spoon.”
• (Detailed key feature) – “The bowl of a large spoon that holds the soup.”
• (Short key feature) – “big bowl”.

Immediately two elements of my original manufacturing process have been identified: “Pay attention to the same thing” and “contact with any benefit.”

Context

Generative AI is better with context. So to engineer our indicators, we “contact an advantage” once again by adding a “explanation and explanation” move to add our target customer.

Imagine that you are an experienced copywriter working on product detail. Write a great product description for (product name), focus on (detailed key feature). Describe how (short key feature) benefits users, for example, (Benefit Bridge) provide specific examples and comparisons.

Also include action -to -action calls. The note (the name of the product) (target audience). Use a (brand voice) tone. Make sure the detail is engaged, gramralically accurate, and refuses to repeat. Use diverse, relevant and meaningful words.

Our variables may be:

• (Benefit Bridge) – “So consumers get more soup than each cut.”
• (Target audience) – “Whoever likes soup and doesn’t want to cut small cutting.”
• (Brand Voice) – “Comfortable and Fun.”

I have integrated three steps with the original process: “Test your words,” “Spell and Grammar Check,” and “Add Call Two Action.”

References

Next, we can provide AI with examples of successful, category -related product description.

Product Description may be similar in the manner of these examples:

“(First instance)”

“(Optional Second Examples)”

Craft three best product description.

Filling the variables of the example, we have a complete gesture.

Imagine that you are an experienced copywriter working on product detail.

Write the description of a great product of soup spoonfuls, which focuses on large bowls or heads that allow it to keep the soup. Explain how big bowls benefit users – such as “Get more soup with each cut” – by providing examples and comparisons.

Add direct calls for action.

Note that a spoon of soup is for everyone who likes the soup and does not want to get small cutting. When you write, use a comfortable and entertaining tone. Make sure the detail is engaged, gramralically accurate, and refuses to repeat. Use diverse, relevant and meaningful words.

Product Description can be similar in this example manner:

Some heartbroken nodal or creamy claims hungry for chador? The spoon of this soup has a large cup, which means to prevent buses and broth in your mouth. In fact, a spoon of this soup can conduct almost three times more Sopi goodness than your standard table spoon. You can cut three times more, or you can buy a spoon of soup and slip on a large scale.

Craft three best product description.

Diagnose

Even the best AI gesture does not always produce the desired results, so evaluate the output. For example, the answer was immediately born from Chat GPT4O.

Tired of chasing the soup around your bowl with a small spoon? Meet the soup spoon designed for real soup lovers. Its generosity, deep bowls allow you to eliminate cheerful, mouth -filled mouths, velvet buses, heart stipends, and soul -heating broth. Compared to your average spoon, this bad boy has almost three times more, so you can enjoy greater taste with each bites. Whether you are slipping from Ramen or saving domestic chicken noodles, this spoon works. Get bigger or be hungry – hold yourself today.

Repetition

The last step of Google’s quick engineering framework is to repeat or repeat this process with minor changes until you get the correct answer.

The description of the Product Product Product Product for E -commerce success has never been more important. We reflect the importance of how we prepare and test them.