Tips on how to use ChatGPT to generate product descriptions at scale

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We would like extra high quality content material for our web sites, nevertheless 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 the event you had been to pay for a copywriter to supply 1000’s of product snippets from scratch, you’d seemingly be out of pocket fairly shortly.

What when you pay for 1,000 new product descriptions, however solely half of these merchandise stay one month later? Clearly, you want a quicker, less expensive method. That is the place ChatGPT may help.

ChatGPT’s native net interface is admittedly useful and an amazing time-saver. 

But when now we have lots of or 1000’s 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

You probably have an ecommerce web site, you may want to produce product snippets utilizing information from a product info administration (PIM) system. 

Let’s say you’ve gotten the information on a spreadsheet.

Product data spreadsheet

We are able to 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

Be aware that your formulation 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 formulation to be versatile, and you’ll at all times ask ChatGPT that will help you write the formulation.

Product description prompt
Product description prompt 1

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

It’s good to spot-check a couple of to make sure the textual content is sensible, even when some information objects had been lacking.

Spot check prompts

After getting verified that your Excel (or Google Sheets) formulation is producing the kinds of prompts that you really want, you possibly can ship a couple of of them to ChatGPT (manually, utilizing the net interface) to see when you just like the outcomes.

The generated snippet(s) will seemingly 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.

Completely satisfied along 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 an inventory of merchandise (or different kinds 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 an inventory of all of your merchandise (both separated by URL, SKU or another distinctive identifier). 

These merchandise even have assigned wealthy prompts which you’ve gotten generated. However ChatGPT’s net UI is restricted. So how will you ship these throughout abruptly?

For this, you’re going to need to get comfy with fundamental scripting and with dealing with API requests. You’ll be able to create an OpenAI API account to entry the ChatGPT net interface. 

I put collectively a fundamental Python script for my company. Whereas I can’t share the script, I can assessment among 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 offers an space to dump objects 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 may also be positioned right here. 

One other tab comprises parameter settings for the request. (You’ll be able to find out about all these through 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 key’s saved.

As soon as a sure button inside the spreadsheet is clicked, the Python script launches mechanically 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, could be tweaked inside the spreadsheet pictured beforehand. 

Lastly, the response textual content is obtained 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 could 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, akin to categorically asking the AI to generate distinctive content material (although it’s important to be fairly agency and repetitive on this regard to get wherever). 

You can too 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 are able to 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 suggest transferring it right into a format your editorial crew can perceive. 

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

ChatGPT output notes

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

  • Let’s speak about the fee. It is robust to offer a value breakdown for utilizing OpenAI’s GPT-4 mannequin of ChatGPT through their API. It is not simply the enter phrase rely of the immediate or the output phrase rely. Pricing revolves across the AI’s “considering 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 total. 22,482 phrases of content material for $1.74 appears good, however there’s rather more to contemplate.
  • Resulting from AI’s propensity to deduce, a human editorial course of remains to be basically required (in our opinion).
  • Nonetheless, utilizing this expertise does rework a expensive from-scratch content material creation process into a way more cost-effective content material enhancing process.
  • The info / AI specialist’s time for immediate crafting and operating scripts should even be factored in.
  • On high of inferring the place information is missing, AI can even “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 might look fairly foolish.
  • All the time ship AI content material by way of a human editorial assessment course of for fact-checking, accuracy and (most significantly) extra inventive aptitude.
  • You’ll be able to additional automate ChatGPT by plugging in tasks like Auto-GPT. These AI ‘brokers’ add extra lively processing and tasking energy to ChatGPT. Nonetheless, tasks like this nonetheless want your OpenAI API key. And because of their infancy, they’ll chew up numerous credit earlier than they study to carry out duties to plain.

Scaling your content material creation course of with AI

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

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

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

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