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.
From configuration to storefront.
AI prepares a draft. Review the output, resolve warnings and check the products before publishing.
Check your data
Use representative products, recorded attributes and current index coverage.
Review the configuration
Confirm labels, selected values and rules. Resolve missing data and warnings.
Validate the experience
Test desktop and mobile, empty results and recovery before publishing.
Evaluate FilterIQ with your catalogue.
Request private preview access. Confirm fit, feature availability and billing terms with the team.