A considered first draft. Your team decides.
Discover catalogue attributes, review grouping suggestions and use AI assistance to draft a filter configuration. Each step has a different job.
Product discovery software for Shopify · Private previewSource · Material option
Suggested grouping
Material variation. Check that the products belong together.
Discovery, grouping and AI assistance are separate methods.
Your product data supplies the context. Suggestions give you a starting point; merchant review determines what belongs in the storefront.
Read the AI setup guides- Discover available attributes
- Scans the catalogue within the applicable plan and service limits. Product options, vendors, types, tags, collections and supported metafield definitions help identify candidate sources. Review actual value coverage.
- Review suggested groups
- Context-aware rules can propose grouping material values such as Cotton and 100% Cotton. Suggestions are proposals for review; a tag and a material option do not carry the same context.
- Draft with AI assistance
- Get help drafting filter configuration, then review validation warnings and edit the result. Suggests synonym pairs from catalogue evidence for review where that assistance is available. Provider availability and catalogue context affect the draft.
Review a proposal, including warnings
Inconsistent catalogue values make setup harder. Assistance can give your team a draft to evaluate while leaving the product meaning in merchant hands.
- What your team controls
- Inspect the source field and proposed grouping or configuration. Edit the draft, reject an unsuitable suggestion and resolve validation warnings before publishing.
- What the shopper experiences
- The outcome to verify is the published filter label, its choices and the matching products. An attractive suggestion is only useful if those products belong together.
- Limitations and requirements
- Attribute discovery, deterministic grouping and AI assistance are different stages. Provider availability, catalogue context, plan access and credit limits affect assistance; no suggestion or a rejected draft is a valid outcome.
What to verify in your preview
Check 1
Choose representative source values, including a similar-looking value that should stay separate.
Check 2
Review a real proposal and its warnings. Check the affected products; edit or reject the proposal when its meaning is wrong.
Check 3
Preview the resulting configuration and confirm the storefront matches before publishing. Retain the prior configuration for rollback.
Evaluate FilterIQ with your catalogue.
Review preview availability, feature guidance and billing terms before planning setup. Contact the team about your catalogue and requirements.