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How one can use ChatGPT to generate product descriptions at scale

We would like extra high quality content material for our web sites, however it’s tough to supply sufficient. So how can we scale the content material creation course of, particularly for ecommerce websites with loads of merchandise?

In case you have been to pay for a copywriter to supply hundreds of product snippets from scratch, you’d probably be out of pocket fairly shortly.

What should you pay for 1,000 new product descriptions, however solely half of these merchandise stay one month later? Clearly, you want a quicker, more cost effective strategy. That is the place ChatGPT may also help.

ChatGPT’s native internet interface is basically useful and a fantastic time-saver. 

But when we now have a whole bunch or hundreds of product descriptions to create, there’s a extra environment friendly method of utilizing ChatGPT with out copying and pasting prompts. Right here’s how.

Mass manufacturing of content material snippets: Scaling the output

When you have an ecommerce web site, you would possibly want to produce product snippets utilizing information from a product data administration (PIM) system. 

Let’s say you might have the information on a spreadsheet.

Product data spreadsheet

We will use Excel formulation to concatenate (or be a part of, utilizing the “&” operator) information into wealthy prompts, prepared for ChatGPT. For instance:

Data Concatenate 800x395

Observe that your components might require one or a number of “IF” statements. That’s as a result of your information might have holes in some areas. 

For instance, some merchandise might not have sure parameters (information inside sure columns) specified. You want your components to be versatile, and you’ll all the time ask ChatGPT that can assist you write the components.

Product description prompt
Product description prompt 1

As soon as your components is returning a immediate for every row (on this case, for every product), you possibly can copy and paste just a few of the generated prompts right into a phrase processor, even notepad. 

It’s good to spot-check just a few to make sure the textual content is smart, even when some information gadgets have been lacking.

Spot check prompts

Upon getting verified that your Excel (or Google Sheets) components is producing the forms of prompts that you really want, you possibly can ship just a few of them to ChatGPT (manually, utilizing the net interface) to see should you just like the outcomes.

The generated snippet(s) will probably require human editorial oversight, although you need to get the AI to do as a lot of the work as attainable. That’s why we engaged in such a deep “prompt-crafting” course of.

Comfortable together with your preliminary prompts and responses? Good, then it’s time to maneuver on.

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Fetching your new product content material snippets from OpenAI

So, you now have a listing of merchandise (or different forms of webpages) which you’d prefer to generate content material for. 

On this instance, we’re going with a fictitious pattern of 100 merchandise. You now have a listing of all of your merchandise (both separated by URL, SKU or another distinctive identifier). 

These merchandise even have assigned wealthy prompts which you might have generated. However ChatGPT’s internet UI is proscribed. So how will you ship these throughout all of sudden?

For this, you’re going to must get comfy with fundamental scripting and with dealing with API requests. You may create an OpenAI API account to entry the ChatGPT internet interface. 

I put collectively a fundamental Python script for my company. Whereas I can’t share the script, I can evaluate a number of the processes and documentation wanted.

Ought to I want to syndicate this script later, constructing it on marketing-accessible endpoints and applied sciences can be finest. As such, I first produced an Excel sheet:

ChatGPT checker

The sheet merely gives an space to dump gadgets for processing (recognized by some distinctive identifier within the “Merchandise Identify” column, on this case, product identify). As well as, the prompts to be processed can be positioned right here. 

One other tab accommodates parameter settings for the request. (You may study all these by way of OpenAI’s documentation.) 

A few of these settings fine-tune content material creativity allowance, uncommon wording deployment, max token spend per request and even content material redundancy. That is additionally the place the OpenAI API secret is saved.

As soon as a sure button inside the spreadsheet is clicked, the Python script launches routinely and handles the remaining:

Python script

First, the script defines the request / endpoint URL. After this, the script sends the request headers and the request information. 

Most parameters for the request header / information, might be tweaked inside the spreadsheet pictured beforehand. 

Lastly, the response textual content is acquired from OpenAI and logged inside the “information dump,” one other separate spreadsheet. 

I’ve three scripts for this deployment, although just one must run. I even have two separate spreadsheets, each of that are wanted.

As soon as the script resolves the entire queries, the entire snippets of textual content are saved right here:

Final output

Wanting on the above output, you might have some content material uniqueness considerations. 

Whereas the entire snippets start with the precise phrase (“Introducing the [product name]”), the produced content material will get extra various throughout the generated paragraphs. So, it’s not as dangerous because it appears to be like. 

Additionally, there are issues you are able to do to try to make every generated snippet much more distinctive, similar to categorically asking the AI to generate distinctive content material (although you must be fairly agency and repetitive on this regard to get anyplace). 

It’s also possible to tweak the temperature and frequency parameters to regulate content material creativity and keep away from redundant language.

Weaving these applied sciences collectively (OpenAI’s API, Excel, Python), we will shortly confirm generated textual content snippets for all enter prompts. 

From right here, it’s as much as you what you need to do with that newly processed information. 

I extremely advocate shifting it right into a format your editorial workforce can perceive. 

We have now considerably mitigated a lot of this by crafting very wealthy prompts. Nonetheless, you possibly can by no means make certain till you test the output.

ChatGPT output notes

Assuming that you just’re glad to work with ChatGPT, there are a few issues to remember:

  • Let’s discuss the fee. It is powerful to offer a value breakdown for utilizing OpenAI’s GPT-4 mannequin of ChatGPT by way of their API. It isn’t simply the enter phrase rely of the immediate or the output phrase rely. Pricing revolves across the AI’s “pondering time.” Extra complicated requests will use extra tokens and value extra (even when the enter / output phrase rely is lowered).
  • Our check batch of 100 prompts from pattern information value us solely $1.74 to run and return. We generated 22,482 phrases of content material general. 22,482 phrases of content material for $1.74 appears good, however there’s rather more to contemplate.
  • Because of AI’s propensity to deduce, a human editorial course of continues to be essentially required (in our opinion).
  • Nonetheless, utilizing this know-how does rework a pricey from-scratch content material creation process into a way more cost-effective content material enhancing process.
  • The information / AI specialist’s time for immediate crafting and operating scripts should even be factored in.
  • On prime of inferring the place information is missing, AI also can “creatively infer” issues. In our pattern information set, the AI determined to deduce the existence of a sizing information (clothes) inside the produced product content material. If no sizing information existed, that may look fairly foolish.
  • At all times ship AI content material by way of a human editorial evaluate course of for fact-checking, accuracy and (most significantly) further inventive aptitude.
  • You may additional automate ChatGPT by plugging in initiatives like Auto-GPT. These AI ‘brokers’ add extra energetic processing and tasking energy to ChatGPT. Nonetheless, initiatives like this nonetheless want your OpenAI API key. And as a result of their infancy, they will chew up a number of credit earlier than they study to carry out duties to straightforward.

Scaling your content material creation course of with AI

AI can scalably produce various snippets of content material which can be match for function with minimal intervention.

For long-form content material, it’s most likely nonetheless higher to make use of the interface and iterate the AI’s responses.

Opinions expressed on this article are these of the visitor writer and never essentially Search Engine Land. Employees authors are listed right here.



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