Introduction
Product titles and descriptions are often the first impression customers have of your items. When you generate content in bulk using DataHub, you want that content to sound like your brand, not a generic template. This walkthrough shows you how to configure your brand voice settings and then apply them to generate fresh, on-brand content across a segment of your product catalogue.
By the end of this lesson, you will have set up a consistent brand tone that applies automatically to every content generation call, and you will have run a bulk generation job that produced on-brand titles and descriptions for multiple products at once.
Prerequisites
Before you begin, make sure you have the following in place:
- Owner-level access to your DataHub account. Brand voice configuration is restricted to account owners only.
- A product catalogue already imported into DataHub. You need products in the system before you can generate content for them.
If you do not have owner-level access, ask your account administrator to grant it. If you have not yet imported a catalogue, do that first.
Step 1: Open brand voice settings and set the brand name and tagline
Before state: Your account has no brand voice configured. Product titles and descriptions generated by the system will be generic and will not reflect your brand identity.
Action: Log in to DataHub and navigate to Settings > Brand Voice. You will see a form with fields for brand identity and tone configuration.
Start by filling in the brand name field with your company or brand name. This tells the content generation system who the products belong to.
Next, enter your tagline field. A tagline is a short phrase that captures your brand's promise or personality, such as 'Crafted for quality' or 'Built to last'. The system uses this to shape the voice of generated content.
After state: Your brand name and tagline are now stored in DataHub and will be referenced by the content generation engine.
Step 2: Configure tone adjectives and words to avoid
Before state: The system has no guidance on how your brand should sound or what language to avoid.
Action: In the same Brand Voice settings form, locate the tone adjectives field. Enter three to five adjectives that describe how your brand speaks to customers. Examples include 'professional', 'friendly', 'minimalist', 'playful', or 'authoritative'.
Next, fill in the words to avoid field. List any terms, phrases, or styles that do not match your brand. For example, if your brand is premium and minimal, you might avoid words like 'cheap', 'flashy', or 'overhyped'.
After state: The content generation system now knows your brand's personality and what language boundaries to respect.
Step 3: Set the preferred reading level
Before state: Generated content may not match the reading level your audience expects.
Action: In the Brand Voice settings, select your preferred reading level from the available options. Common options include 'simple' (primary school level), 'standard' (secondary school level), or 'advanced' (university level). Choose the level that matches your typical customer and product category.
After state: The content generation system will now produce titles and descriptions that match your audience's reading ability.
Step 4: Generate a single test title and description
Before state: You have configured brand voice settings, but you have not yet verified that the output matches your expectations.
Action: Navigate to your product catalogue and select one product to test. Open that product's detail page and locate the content generation option. Choose to generate a title and description (do not launch a bulk job yet).
Review the generated title and description. Read them aloud if it helps. Ask yourself: Does this sound like my brand? Do the tone adjectives come through? Is the reading level appropriate? Are there any words or phrases that feel off?
After state: You now have a sample of how your brand voice settings translate into actual product content.
Step 5: Adjust brand voice settings if needed
Before state: The test content may not fully match your brand voice expectations.
Action: If the output does not sound right, return to Settings > Brand Voice and refine your settings. Adjust your tone adjectives to be more specific, add words to avoid that appeared in the test output, or change the reading level. Make one or two changes at a time so you can see what effect each one has.
Generate another test title and description on the same product (or a different one) to see if your adjustments improved the output.
Repeat this cycle until the generated content matches your brand voice.
After state: Your brand voice settings now produce content that genuinely sounds like your brand.
Step 6: Launch a bulk generation job
Before state: You have validated your brand voice settings on a sample product. Now you are ready to apply them across multiple products.
Action: Navigate to the bulk content generation section of DataHub. Select the segment of products you want to generate content for. You can filter by product type, category, price range, or other attributes.
Specify which fields you want to generate. In most cases, this will be both title and description, but you can choose title only if you prefer.
Review the product count. The system will show you how many products match your selection.
Click 'Launch bulk generation job'. The system will queue the job and begin processing.
After state: Your bulk generation job is now running. The content generation system is applying your brand voice settings to create new titles and descriptions for every product in your selection.
Step 7: Monitor the job's progress
Before state: The bulk generation job is in progress, and you do not yet know its status.
Action: Return to the bulk generation job dashboard. You will see a list of active and recent jobs. Locate your job in the list and click on it to open the detail view.
The job detail page shows real-time progress: how many products have been processed, how many are still in the queue, and whether any errors have occurred.
Watch the progress bar or counter as the job runs. Depending on the size of your product selection, this may take minutes to hours.
After state: You can see exactly how many products have been processed and how many remain.
Step 8: Confirm completion and review results
Before state: The bulk generation job is running or has finished, and you want to know if it succeeded.
Action: Wait for the job to reach 100% completion. The job dashboard will update automatically. When complete, the status will show 'Completed' or 'Success'.
Note the success count: this tells you how many products received newly generated titles and descriptions. If the count is lower than the number of products you submitted, some products may have encountered errors. The dashboard will show error details if applicable.
Navigate to your product catalogue and open a few of the products that were processed. Review the new titles and descriptions to confirm they match your brand voice.
After state: Your products now carry newly generated, on-brand titles and descriptions. Your brand voice settings are active and will apply to all future content generation calls.
What you should see: Checkpoint
Once you have completed this walkthrough, your bulk generation job dashboard should show the following:
- A job entry with status 'Completed' or 'Success'.
- A success count that matches or nearly matches the number of products you submitted for generation.
- Zero or very few error entries (minor errors are normal and do not prevent the job from completing).
When you open your product catalogue and view the processed products, you should see:
- New titles that incorporate your brand voice tone adjectives and avoid any words you marked as off-brand.
- New descriptions that match your preferred reading level and reflect your brand's personality.
- Consistency across multiple products: the voice and style should feel cohesive, not random.
If the generated content does not match your expectations, return to Settings > Brand Voice, refine your settings, and run another test on a single product before launching a second bulk job.
Summary
Configuring brand voice and generating content in bulk is a two-phase process: first, you define your brand identity and tone; second, you validate it on a sample product and then apply it at scale.
Once your brand voice is configured, it becomes the default voice for all content generation in your account. Every title, description, or other text generated by the system will carry your brand's personality automatically. This saves time and ensures consistency across your entire product catalogue.
The bulk generation job feature lets you apply this voice to dozens or hundreds of products in a single operation, turning a manual, time-consuming task into an automated workflow. Monitor the job to completion, review a sample of the output, and your on-brand content is ready to go live.