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


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

When you had been to pay for a copywriter to provide 1000’s of product snippets from scratch, you’d doubtless be out of pocket fairly shortly.

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

ChatGPT’s native internet interface is admittedly useful and a terrific time-saver. 

But when we’ve got tons of or 1000’s of product descriptions to create, there’s a extra environment friendly manner of utilizing ChatGPT with out copying and pasting prompts. Right here’s how.

Mass manufacturing of content material snippets: Scaling the output

When you’ve got an ecommerce web site, you would possibly 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 system 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 system to be versatile, and you may all the time ask ChatGPT that can assist you write the system.

Product description prompt
Product description prompt 1

As soon as your system is returning a immediate for every row (on this case, for every product), you may 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 you have verified that your Excel (or Google Sheets) system is producing the forms of prompts that you really want, you may ship a couple of of them to ChatGPT (manually, utilizing the net interface) to see should you just like the outcomes.

The generated snippet(s) will doubtless 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 happy 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 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’ve gotten generated. However ChatGPT’s internet UI is proscribed. So how will you ship these throughout suddenly?

For this, you’re going to must get comfy with fundamental scripting and with dealing with API requests. You possibly can 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 assessment a few of the processes and documentation wanted.

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

ChatGPT checker

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

One other tab incorporates parameter settings for the request. (You possibly can study 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 secret’s saved.

As soon as a sure button throughout the spreadsheet is clicked, the Python script launches robotically 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 throughout the spreadsheet pictured beforehand. 

Lastly, the response textual content is obtained from OpenAI and logged throughout 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 all the queries, all the snippets of textual content are saved right here:

Final output

Trying on the above output, you could have some content material uniqueness considerations. 

Whereas all the 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 seems. 

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

You can even 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 advocate shifting it right into a format your editorial staff can perceive. 

We’ve got considerably mitigated a lot of this by crafting very wealthy prompts. Nonetheless, you may by no means make sure till you examine the output.

ChatGPT output notes

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

  • Let’s speak about the fee. It is robust to present 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 advanced requests will use extra tokens and price extra (even when the enter / output phrase rely is diminished).
  • Our take a look at batch of 100 prompts from pattern information price 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 way more to think about.
  • As a result of AI’s propensity to deduce, a human editorial course of remains to be basically required (in our opinion).
  • Nonetheless, utilizing this know-how does remodel a expensive from-scratch content material creation job into a way more cost-effective content material modifying job.
  • The information / AI specialist’s time for immediate crafting and working 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) throughout the produced product content material. If no sizing information existed, that might look fairly foolish.
  • All the time ship AI content material by means of a human editorial assessment course of for fact-checking, accuracy and (most significantly) extra artistic aptitude.
  • You possibly can additional automate ChatGPT by plugging in initiatives like Auto-GPT. These AI ‘brokers’ add extra lively processing and tasking energy to ChatGPT. Nonetheless, initiatives like this nonetheless want your OpenAI API key. And because of their infancy, they will chew up plenty of credit earlier than they be taught 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 can be match for objective 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. Workers authors are listed right here.

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