Resources · Make integration

Productify.ai Make integrationAutomate Productify.ai with Make.

Can your product catalog write, sort and translate itself? The Productify.ai Make integration gives you 15 modules, 1 trigger and 14 actions, aimed at ecommerce copy. This page shows store owners how to connect the account and build a first scenario step by step.

Try the Productify.ai integration on MakeSee the 15 modules

Verified Trustpilot reviews · AI, automation & growth agency

What you can automate

What does the Productify.ai Make integration let you automate?

The Productify.ai Make integration links your Productify.ai account to Make, a tool where you build a scenario (an automation made of connected steps) without writing code. Each step is a module: here, 14 actions that write or extract product content, and one trigger that starts a scenario when a batch is finished.

Listings that write themselves. A new product row lands in your spreadsheet; Generate a Headline and Generate a Marketing Description draft the title and the selling text, and Make sends both to your store as a draft.

Labels turned into data. A photo of the packaging goes through Extract a Nutritional Table from an Image or Extract a Table from an Image, and the values end up in columns instead of a picture nobody can search.

One catalog, several markets. Once the English copy is final, Translate Text produces the other versions, and Watch Completed Ecommerce Batch tells the rest of your tools when a whole batch is ready.

Be aware of one limit: Make's documentation for Productify.ai is thin. It lists the module names without describing their fields, so the notes below go by those names and each scenario deserves a test run before it goes live. The Make troubleshooting guide helps when a test fails. If you are weighing Make against n8n for this kind of work, read n8n vs Make; to learn the editor properly, see Make training.

Connect

How do you connect Productify.ai to Make?

  1. 01

    Add a Productify.ai module

    In your scenario, click the +, search for Productify.ai and pick any module. The field at the top asks for a connection, which is your Productify.ai account linked to Make once and reused by every module of the app. Click Create a connection.

  2. 02

    Name it and authorize Make

    Give the connection a name if you run several accounts, for example one per store. Then either approve Make on the Productify.ai page that opens, or paste the key Productify.ai gives you, depending on what the window asks for.

  3. 03

    Save and pick it

    Click Save. The connection now appears in the dropdown of every Productify.ai module, so you will not repeat this setup when you add the next module to the scenario.

First scenario

Your first scenario with Productify.ai

GoalWhen a new product appears in the app where you keep your catalog, Make writes its marketing copy with Productify.ai and translates it.

  1. 01

    Create the scenario

    Open the Scenarios page, create a new scenario and click the + to add the first module. Pick the app that holds your product list, such as your spreadsheet or your store.

  2. 02

    Set the starting module

    Connect that app and choose the module that watches for new products. Make then lists the sheets or objects it can read, so you point it at your catalog without typing paths.

  3. 03

    Add the description step

    Click the + on the right, search for Productify.ai and add Generate a Marketing Description. Map the product name and details from the first module into its fields.

  4. 04

    Chain the translation

    Add Translate Text after it and map the description it produced. Each product becomes a bundle, one item passing from module to module, and every module run on it counts as one operation.

  5. 05

    Test with Run once

    Click Run once and open the bubbles to read what each module received and returned. Fix the mapping here, while nothing has been published yet.

  6. 06

    Schedule and switch on

    On the first module, set the schedule: every 15 minutes by default. Then switch the scenario on. If your starting module is a scheduled trigger, Make checks your catalog for new products at that interval.

Triggers

What starts a Productify.ai scenario

1 module starts a scenario when something happens in Productify.ai. A scheduled trigger is checked by Make on the scenario's schedule; an instant one is called by Productify.ai as soon as it happens.

Productify.ai1Watch Completed Ecommerce Batch

Watch Completed Ecommerce Batch

triggerIn the docs only

Watch Completed Ecommerce Batch starts your scenario when Make finds a Productify.ai batch of product work marked as finished, going by the module's name. It is the only trigger this app offers, so start here when the work happens in Productify.ai and your other tools need the results.

How it fires
scheduled. Make checks the app on the scenario's schedule, every 15 minutes by default, and never more often than every 15 minutes on the Free plan.
When to use it
a batch you launched with Create an Ecommerce Batch should flow into your store or a spreadsheet after Make's next check finds it complete.
Watch out
the documentation does not say what a finished batch contains, so run the scenario once and read the bundle.
Modules

What Productify.ai can do in Make

Productify.ai gives you 14 modules. For each one: what it does for you, when to reach for it, and what to watch out for.

Productify.ai1

Categorise a Product

ActionIn the docs only

Categorise a Product, as the name tells you, sorts one product into a category, which saves you from tagging a large catalog by hand. Each product it handles counts as one operation, the unit Make counts on your plan.

When to use it
a supplier sends new items without a category and your store needs one before they go live.
Watch out
the docs list no categories or settings for it, so compare the first results with your own category tree.
Productify.ai2

Create an Ecommerce Batch

ActionIn the docs only

Judging by its name, Create an Ecommerce Batch opens a batch of product work in Productify.ai straight from your scenario. Going by their names, it pairs with Watch Completed Ecommerce Batch: one scenario sends the batch, a second one picks up the result once Productify.ai marks it complete.

When to use it
you have a group of products to process together rather than one at a time.
Watch out
no input format is documented, so open the module in Make and see which fields it actually asks for.
Productify.ai3

Extract Text from an Image

ActionIn the docs only

Extract Text from an Image reads the words printed in a picture and hands them on as text, judging by its name. A packaging photo or a scanned label becomes something the next modules can rewrite, translate or summarise.

When to use it
product photos carry information nobody has typed into your catalog yet.
Watch out
the Free plan caps files at 5 MB, so large photos may need resizing before they reach this module.
Productify.ai4

Extract a Nutritional Table from an Image

ActionIn the docs only

Food sellers get a module of their own: Extract a Nutritional Table from an Image targets the nutrition panel on a package photo, going by its title. Pick it over the plain text extractor when the table itself, not the whole label, is what you need.

When to use it
a grocery or supplement shop must publish nutrition facts for every new item.
Watch out
the doc shows no output structure, so test with Run once before mapping values into your store.
Productify.ai5

Extract a Table from an Image

ActionIn the docs only

Extract a Table from an Image is the broader cousin of the nutrition module: its name points at any table caught in a picture, like a size chart or a spec sheet. Choose it when the grid has nothing to do with food.

When to use it
a manufacturer sends technical specs only as images and you want them as rows you can filter.
Watch out
look at how rows and columns come out in the test bundle before you map them into a spreadsheet.
Productify.ai6

Generate a Headline

ActionIn the docs only

Readable product titles are what Generate a Headline promises: the name says it writes a headline, handy when supplier names are cryptic codes nobody would click on. Feed it what you know about the item and map the result into your listing.

When to use it
new items arrive with reference numbers instead of titles a shopper understands.
Watch out
a generated headline goes live as written unless you add a review step, so send it to a draft first.
Productify.ai7

Generate a List of Features, Attributes & Benefits

ActionIn the docs only

Generate a List of Features, Attributes & Benefits gives you the raw material of a product page, if the name is taken at its word: what the item has, what it is made of, and why a buyer should care. It sits upstream of your longer descriptions.

When to use it
your team writes bullet sections on each product page and wants a first draft to edit.
Watch out
the output format is not documented, so check the bundle before splitting it into separate fields.
Productify.ai8

Generate a Marketing Description

ActionIn the docs only

Generate a Marketing Description drafts the long, persuasive paragraph of a listing, based on what its name announces. Reach for it when the page has to sell the product rather than sum it up in two lines.

When to use it
a new collection lands in your catalog with technical data and no copy at all.
Watch out
every product processed costs one operation on your Make plan, so try it on a few items before pointing it at a full catalog.
Productify.ai9

Generate a list of SEO Keywords

ActionIn the docs only

Generate a list of SEO Keywords suggests search terms for a product, according to its name, which you can store next to the listing or pass on to the headline and description modules. It helps when nobody has time for keyword research item by item.

When to use it
you sell on a store where search traffic brings a large share of buyers.
Watch out
treat the output as suggestions; the doc says nothing about search volumes behind them.
Productify.ai10

Generate short description

ActionIn the docs only

Where the marketing module writes long, Generate short description aims at the brief blurb under a product title or in a category grid, judging by its name. Pick it when space on the page is tight.

When to use it
your theme shows a teaser line on listing pages and many products leave it empty.
Watch out
no length setting is documented, so check during the test run that the text fits your layout.
Productify.ai11

Make an API Call

ActionIn the docs only

Make an API Call lets you reach any endpoint of the Productify.ai API from your scenario, reusing the connection you already created. It is how you cover whatever the other 14 modules leave out.

When to use it
you need a Productify.ai feature that no listed module exposes.
Watch out
Make's documentation for this app is limited and describes no endpoint, so you have to know the exact path and parameters yourself before this module is of any use.
Productify.ai12

Rephrase Text

ActionIn the docs only

Rephrase Text rewrites a passage in new words, going by the name, so several listings built on the same supplier copy stop reading like clones of each other.

When to use it
you resell a brand whose manufacturer descriptions appear word for word on many other shops.
Watch out
reread rephrased technical details such as materials or sizes, since a reworded spec can drift from the original meaning.
Productify.ai13

Summarise Text

ActionIn the docs only

Summarise Text boils a long text down to its main points, if the name is a fair guide. It is meant for text you already have, such as a supplier sheet or words pulled from a label, rather than for writing copy from scratch.

When to use it
chain it after Extract Text from an Image to turn a dense label into a paragraph shoppers will read.
Watch out
check that the summary keeps legal mentions your market requires on product pages.
Productify.ai14

Translate Text

ActionIn the docs only

Translate Text moves a product text into another language, the name leaves little doubt about that, so one master catalog can feed stores in several markets. Place it last in the chain, once the source copy is final.

When to use it
you sell in Europe from an English catalog and each storefront needs its own language.
Watch out
the doc lists no supported languages, so test your target language with Run once before activating the scenario.
Need help

Need help automating Productify.ai with Make?

A person reads every message.

FAQ

Questions people ask next

01Is the Productify.ai Make integration free?
Yes, on the Make side. Productify.ai is a standard app, available from the Free plan. That plan allows 2 active scenarios, a minimum of 15 minutes between scheduled runs, up to 5 minutes per execution, files up to 5 MB and 512 MB of data transfer. Paid plans (Core, Pro, Teams, Enterprise) drop the interval to 1 minute and count usage in credits each month. Your Productify.ai subscription is a separate matter that this page does not cover.
02What do you need to connect Productify.ai to Make?
A Productify.ai account and a Make account are enough to begin. Make's documentation lists no special prerequisite for this app. You add any Productify.ai module, click Create a connection, give it a name if you like, then either authorize Make on the Productify.ai page or paste the key the app provides, and click Save. The same connection then serves every Productify.ai module, including Make an API Call. If the window asks for something else, simply follow what it shows.
03Does the Productify.ai trigger react in real time?
No. Watch Completed Ecommerce Batch is a scheduled trigger, marked with a clock badge in the editor: Make asks Productify.ai for finished batches on the scenario's schedule instead of being notified the moment one completes. A new scenario checks every 15 minutes by default. On the Free plan, 15 minutes is also the shortest interval; paid plans can go down to 1 minute, which gets you closer without being instant. In the editor, that choice sits in the clock on the first module.
04What if a Productify.ai module is missing in Make?
Use Make an API Call. It calls any endpoint of the Productify.ai API with the connection you already have, so a feature without its own module is still reachable. Keep in mind that Make's documentation for this app is limited: it names the 15 modules but does not describe their fields, so you need the endpoint details yourself and a test with Run once before going live. Start with a single item before running the scenario on a large catalog.
05Should you use Make or n8n for Productify.ai?
It depends on the tool your team already works in. On Make, Productify.ai comes with 15 ready modules, including a trigger for finished batches and Make an API Call for the rest, so you can start from the visual editor today. Apps like this one often have an n8n node too; if your automations already run in n8n, check whether it exists there before splitting your work across two tools.
Same platform

Other docs you might need on this stack.

Browse all integrations