For the complete documentation index, see llms.txt. This page is also available as Markdown.
NEW

How to use AI generated text

Create, preview, and approve AI-generated product texts using your Gemini or OpenAI connection.

Who can use this feature: You need the Core Pro plan in your Channable subscription to use this feature.

What is AI generated text?

AI generated texts are AI-enhanced texts that you can generate in the Optimize section of Channable.

With the AI generated text generator, you can adjust your item titles, descriptions, or other text fields in bulk to create high-performing texts for your listings in one workflow.

You can select fields from your product data like category, brand, color or size that your generator will reference to generate suggestions.

Example:

You could set your generator to optimize a title using data from your description field (e.g. from “Urban Explorer Cargo Joggers” to “Men’s Urban Cargo Joggers - Durable Streetwear & Casual Pants”)

Before you start

You'll need

Note: You can use a trial Gemini connection to test AI Text Generation if you don't have a Gemini or OpenAI account yet. A test connection is limited to one generator per project, and you can only generate up to 10 texts.

Good to know

  • Token usage: Gemini or OpenAI tokens will be used in the Prompting and Generate values steps. Monitor your usage to control costs.

  • Generation and approval costs: You are charged when texts are generated, regardless of whether you approve them or not.

  • Re-run costs: Every re-run is treated as a new request. Each one adds a new cost.

  • Total cost: The total cost depends on the amount of input data, prompt and output length, and the number of items text is being generated for. You can find the Estimated generation cost in the Prompting step.

  • Already have one or more AI text generators set up? If a generator later in the list uses the same save fields for the same items, it will override the generators that run before it. You can drag and drop to reorder the list.

  • Data sources: If you have a paid tier or use our trial Gemini connection, Google and OpenAI do not use your input, prompts or responses to improve their products. Learn more about their conditions: Gemini & OpenAI.


1

Create your generator

  1. Go to [your company] > [your project] > Optimize.

  2. Click + Generate text with AI to start the setup.

  3. In the pop up, select the type of content that you want to create. The content type you select defines the prompt template that you will work with in the Prompting step.

    • Titles: Generate AI text suggestions to improve product titles.

    • Descriptions: Generate AI text suggestions to improve product descriptions.

    • Free text: Generate AI text suggestions for specific text fields.

  4. Click Continue.

2

Configure your generator settings

  1. At Settings, fill in these details:

    1. At Name, add a descriptive name so it's easier to distinguish this generator from others later.

    2. At AI connection, you have two options:

      1. If this is your first generator and you don't have a Gemini or OpenAI connection yet, you can continue with a trial (Trial > Connect).

      2. If you have a Gemini or OpenAI account, click either option > Connect.

        1. For Connection type, select your Gemini/OpenAI connection or create a new one.

        2. Click Connect with Google Gemini/Connect with OpenAI.

    3. At Project fields used to generate attributes, select the text fields that should be used to generate the new texts. Scraping websites or extracting full content directly from URLs is not currently available. Reading images is also not available currently.

    4. At Field to save the optimized text, select the project field where you want to save the generated text. We recommend creating a new field to avoid overwriting your existing title and description data.

    5. At Output language, select the language if you want your texts to be translated to. If you leave this at Do not translate, the generator will reference the language in the text fields or a prompt when generating.

Note: Choosing Do not translate increases the chance of generating inaccurate information. We recommend selecting an output language for more precise control over your generated texts.

  1. Click Save.

3

Select and filter items

  1. In the Item filtering step, set up a filter to select which items to generate text for.

    1. To generate text for all items, leave the filter as If all .

    2. To generate text for specific items, set up the condition part of a rule to filter them out. (For example, If title contains t-shirt .)

  2. Click Save. Once finished filtering, click Selected items (%) to see which items your prompt in the following step will apply to.

  3. Click Save & continue.

4

Apply a prompt

  1. At Prompt, write your custom prompt in the text field or adjust the template based on your goals or requirements.

Example

You could change the maximum number of characters based on your channel limitations, or describe the style of the text you want to have.

  1. Click Generate 5 previews. A preview of the items will appear in the 5 previews section.

  1. Review the previews and adjust your prompt until you're happy with the results. Once you're satisfied, click Generate all to apply the same logic across the items selected in the Filter items step.

Note: Generating previews and regenerating values still contributes to token usage.

5

Review values (approve & regenerate)

  1. To review one generated text at a time select either Approve or Regenerate. You can also edit each text manually if needed.

  2. To regenerate all generated texts at once, click Regenerate all. Already approved texts won’t be regenerated.

  3. To approve all texts at once, click Approve all.

  4. To unapprove all texts at once, click Unapprove all.

The chosen field for the optimized text now contains the approved values and can be sent to any channel. For example, via Rules or Mapping steps for Google Merchant Center or Amazon.

After generating the texts and before using generated texts in your channels, make sure that there are no empty fields. This could cause errors in the product list with generated values but this could also be due to an issue with Gemini/OpenAI.

Last updated

Was this helpful?