Skip to main content
WISEPIM Enrich with AI modal showing all enrichment types Select products, pick an enrichment type, configure it in a few clicks, and let AI do the rest. Every enrichment job runs in the background so you can keep working, and progress is tracked in the Process Tracker.
AI enrichment uses credits. Content types (titles, descriptions, SEO, attributes) each cost one credit per product. Translation, categorization, and image alt text have their own credit rates. Your credit balance is shown in the top navigation.

All 14 enrichment types

TypeWhat it doesPrompt needed
Auto-FillDetects every content gap across all 5 content types and fills them all in one runUses your project defaults
TitlesRewrites or generates product titlesYes
DescriptionsWrites full product descriptionsYes
Short DescriptionsWrites concise product summariesYes
SEO Title & MetaGenerates optimized meta title and meta descriptionYes
AttributesExtracts structured specs from existing contentYes
AI CategorizationAssigns your existing categories based on product contentNo
Internal LinkingAdds 3–5 contextual links to related pages inside each descriptionNo
Search IntentRewrites descriptions to match real search queries from Search ConsoleNo
Image Alt TextWrites alt text for every product image that has none, using AI visionNo
TranslationTranslates content into one or more target languages simultaneouslyNo
Linguistic ReviewScores translation quality and flags inconsistencies for one-click fixesNo
Quality ReviewScores each product across 12 data quality dimensions and surfaces fixesNo
Web ResearchSearches the web for specs, pricing, and descriptions using your product identifiersNo

How to enrich products

1

Select products

Check individual products, or use filters and select all matching results. You can also apply enrichment to your entire catalog.
2

Click Enrich with AI

Click the Enrich with AI button in the toolbar. The enrichment modal opens.
3

Choose an enrichment type

Pick what you want to generate. Content types require a prompt from your Prompt Library. The other types configure themselves.
4

Configure and start

Set any options, prompt selection, language targets, confidence thresholds, and click Start Enrichment.

Content enrichment

The five content types each have a dedicated guide with prompt tips and examples: Titles, Descriptions, Short Descriptions, SEO Title & Meta, and Attributes. They all follow the same flow: select products, pick the type, choose a prompt, start. The AI uses the prompt combined with each product’s existing data and your Knowledge Library context. Enriching product descriptions with AI in WISEPIM Enriched content is stored in separate reviewed fields alongside your originals. Your source data is never overwritten.
TypeOutput field
TitlesReviewed Name
DescriptionsEnriched Description
Short DescriptionsEnriched Short Description
SEO Title & MetaMeta Title, Meta Description
AttributesAttribute values (extracted from existing content)
Set a default prompt for each content type in Settings → Enrich Prompts. It pre-selects the right prompt every time you open the modal, and is what Auto-Fill uses automatically.

Auto-Fill

Auto-Fill analyzes each product, finds every missing content field across all 5 content types, and fills them all in one run, using your project’s default prompts. No need to run five separate enrichments. Auto-Fill mode in WISEPIM, fills all content gaps across 5 field types in one run See Auto-Fill for the complete guide, including how to set the overwrite threshold to upgrade low-quality content alongside truly empty fields.

AI Categorization

AI Categorization automatically assigns your existing categories to products based on their content. AI Categorization settings in WISEPIM, confidence threshold and category count options Configure the confidence threshold (default 75%) and whether the AI determines the number of categories per product automatically or you set a maximum. Higher confidence means fewer but more accurate assignments. Advanced settings include the full confidence slider (0–100%) and a max categories control (1–10). See AI Categorization for the full guide, including how to run a tiered pass that captures confident assignments first and only reviews the genuinely ambiguous products.

Internal Linking

Internal Linking reads each product’s description and adds 3–5 contextual links to related products and category pages. It prioritizes high-traffic pages using Search Console data. Internal Linking enrichment in WISEPIM, AI adds contextual links to product descriptions See Internal Linking for the full guide, including how to pre-select target categories and when to expect the best results.

Search Intent

Search Intent uses your Google Search Console data to understand how real shoppers find each product, then rewrites the description to better match what they are actually looking for. Search Intent enrichment in WISEPIM, rewrites descriptions to match real GSC queries Requires an active Google Search Console integration. See Search Intent for the full guide, including how to identify the best candidate products.

Image Alt Text

Image Alt Text uses AI vision to analyze each product image and write descriptive alt text, up to 125 characters, for every image that has none. Existing alt text is never changed. Image Alt Text enrichment in WISEPIM, AI vision writes alt text for product images See Image Alt Text for the full guide, including accessibility and SEO benefits.

Translation

Translation converts product content into one or more target languages simultaneously. Configure which fields to translate, set a tone, add custom instructions, and save instruction templates for future runs. Translation enrichment in WISEPIM, selecting target languages and translation settings For the full guide, including field selection, tone controls, strict vs. creative mode, and the terminology dictionary, see Translating Products.

Web Research

Web Research searches the web for product data using your product identifiers (EAN, UPC, model number, SKU, or brand plus name), cross-references multiple sources for accuracy, and puts the results in the Data Quality tab for you to review before applying. Web Research enrichment in WISEPIM, AI searches the web using product identifiers For the full guide, including identifier selection and reviewing market price intelligence, see Web Research.

Linguistic Review and Quality Review

These two run from the same enrichment modal but open their own dedicated workspaces:
  • Linguistic Review: scores your translated content across 6 criteria (completeness, terminology, locale quality, consistency, format, meta compliance) and offers one-click fixes for inconsistencies.
  • AI Quality Review: reads each product like a demanding customer and scores it across 12 dimensions (completeness, content quality, image vs. data, pricing sanity, conversion readiness, and more), then hands you a ranked list of fixes.
Both require at least one target locale to be configured in Translation Settings before Linguistic Review appears in the modal.

Single product enrichment

Every enrichable field on the product detail page has an Enrich button. Click it to run enrichment on that field only, without selecting products in the main table. The same prompt selection and configuration flow applies, scoped to that one product and field. Enrichable fields on the product page: name, description, short description, SEO title and meta description, attributes, and categories.

Using Content Logic with enrichment

Content Logic variables in your prompts give the AI dynamic, per-product context. A prompt like:
Write a description for {{product.name}} by {{product.brand}}.
Brand voice: {{brand.tagline}}. Target audience: {{category.target_audience}}.
resolves differently for each product, so the AI generates unique, contextual copy rather than variations on a single template. See Content Logic for how to set up variables, and the individual scope pages for use-case examples.

Automating enrichment

All 14 enrichment types are available as Automation actions. Trigger them on a schedule, after imports, when quality scores drop below a threshold, or when products are updated.

Tips

  • Start with 5–10 products. Test a prompt on a small batch and review the output before running it on your full catalog.
  • Fill your Knowledge Library. The more context the AI has about your brand, audience, and products, the more consistent the output. See Knowledge Library.
  • Use specific prompts. A prompt for “B2B industrial fastener descriptions” will outperform a generic “write a description” prompt every time. Create prompts per category or product type in the Prompt Library.
  • Set defaults. Configure default prompts in Settings → Enrich Prompts so Auto-Fill works without any extra clicks and the right prompt is always preselected in the modal.

Prompt Library

Build and organize the prompts that power content enrichment.

Prompt Lab

Test and refine prompts on real products before running them in bulk.

Knowledge Library

Give the AI your brand voice, audience, and product context.

Enrichment Impact

Measure the revenue lift AI enrichment generates across your catalog.