Your catalog knows your products. But customers can't find them.
A customer searching for “brass chandeliers” may land on a competitor's site because your chandelier page doesn't mention materials. Your products can be much harder to discover when customers search by brand, style, material or use-case.
Product names don't match how customers search
Suppliers often name products for inventory management, not for how customers look for them. The details buyers care about (color, material, use-case, compatibility) are buried in descriptions or missing entirely.
Your categories don't reflect how customers think
Your site organizes by product type. But a customer looking for “wireless noise-cancelling headphones under $200” won't find you if your category tree just says “Headphones”. You need pages that match how customers actually shop.
Manual tagging can't keep up
Even a catalog with just a few hundred products creates countless combinations customers might search for. No team can map this by hand. The result: hidden inventory that never gets discovered.
From product catalog to discoverable products
The Enrichment Agent reads your product data and extracts the attributes customers search for, such as brands, materials, and styles depending on your site. It then enriches your products with structured data so they surface for searches your catalog doesn't cover.
Extract what customers search for
The agent analyzes your product titles, descriptions and attributes to extract what customers actually look for, such as brands, colors, materials, and sizes depending on your catalog. These become the building blocks for new pages.
Organize attributes into customer language
Extracted details are grouped to match how customers think: brand, color, material, room, style. The Enrichment Agent can handle ambiguity automatically (for example, "Red Valentino" is typically recognized as a brand, not a color plus brand).
Create pages customers search for
Attributes are combined into the pages customers need: "Samsung TV", "brass living room lamps", "wireless headphones under $200". Each page is built with the right products, content and connections to related pages.
Prioritize by revenue impact
Each potential page is run through multiple checks including search demand, product sufficiency, existing traffic, page competition, and product match. You see a prioritized list of pages most likely to generate revenue (not just traffic) so your effort goes where it matters.
See how it works in practice
A single product can generate dozens of searchable attributes. Similar AI's automated page creation combines enriched product attributes with your catalog to generate hundreds or even thousands of pages customers are already looking for.
Your product data
Title: “Visual Comfort TOB 5003HAB-NP Thomas O'Brien Bryant Large Table Lamp”
Category: Table Lamps
Price: $629.00
What customers search for
Pages created from these searches
Each page is built with matched products, helpful content and connections to related pages.
Manual tagging vs automated discovery
Most sites rely on whatever their product system provides. The Enrichment Agent creates pages based on what customers actually search for.
Without Similar AI
- ×Product data uses supplier language, not how customers actually search
- ×Categories limited to your existing site structure, missing many specific searches
- ×Manual tagging is incomplete and impossible to maintain as the catalog grows
- ×No way to know which attribute combinations customers are looking for
- ×New products often sit in generic categories, harder to discover for specific customer searches
With the Enrichment Agent
- Every product is connected to how customers search for it, with attributes like brands, materials, and styles
- Pages created for validated, high-intent searches where real demand exists for your products
- Automated discovery adapts to your specific catalog and updates as it grows
- Pages are validated against real search demand data before being created
- New products automatically get the pages they need to be found
The foundation for every page we create
The Enrichment Agent (currently in beta) is a separate agent that enriches your products with structured data. The New Pages Agent can then use this enriched data when auto-matching products to create pages. Each page is built with matched products, helpful content and connections to related pages.
The Topic Sieve filters out candidate topics that lack genuine demand or product relevance, using thresholds on search demand and product counts so you only create pages with real revenue potential. The Enrichment Agent can also run standalone (in beta) to enrich your product feed without creating new pages.
The result: category pages on your site typically match how customers actually search, built from your own product data and real search demand.
Understands what customers mean, not just what they type
Customers don't always spell out what they want. The agent recognizes the products they're really looking for, even when they use shorthand or incomplete terms.
brand: Visual Comfort, designer: Thomas O'Brien, collection: Bryant
The customer doesn't type the brand or designer, but the agent recognizes "Bryant" as a specific collection and connects it to the right products.
style: Mid-Century Modern, material: Brass, category: Chandelier
Customers combine style, material, and product type in ways your catalog doesn't. The agent extracts these attributes and creates the page they're looking for.
style: Farmhouse, category: Dining Table, price: under $2,000
Style, category, and price range combined. Your catalog lists these separately, but customers search for the combination. The agent bridges that gap.
Case Study
How Visual Comfort unlocked hidden product demand
Visual Comfort is a leading provider of designer lighting with rich product data (designer names, finishes, materials, styles), but their existing category pages didn't match how customers actually search.
The Enrichment Agent extracted what customers were searching for from their product data and enriched it with the terms and attributes customers actually use. Each new page was built with the right products, helpful content and connections to related pages. The result: $2.4M in incremental revenue and a 29x ROI.
Read the full case study$2.4M
Incremental revenue
29x
ROI achieved
Many
Pages created
Visual Comfort
Case study
Frequently asked questions
What ROI can we expect from this?
Visual Comfort, for example, generated $2.4M in incremental revenue with a 29x ROI using Similar AI's comprehensive approach including page creation, content optimization, and internal linking (according to Jennifer Skeen at Visual Comfort). Results vary by industry and catalog size, but retailers with 3,000+ products can see early revenue signals within weeks, with full revenue impact typically materializing over 3-6 months.
What product data do you need to get started?
A product feed with titles and descriptions is the minimum. Richer data (with attributes like brand, color, material, size) produces better results. Similar AI has native API integrations for Shopify and BigCommerce, and also supports WooCommerce and most other e-commerce platforms through additional integration options.
Does this require engineering resources?
Minimal. We integrate with your existing e-commerce platform and handle page creation automatically. Your team reviews and approves pages before they go live, but doesn't need to build them manually. For standard Shopify and BigCommerce integrations, most retailers go live within a day and can see first revenue within a week. Custom CMS integrations may take longer to schedule.
How does this scale with our catalog?
Even catalogs with just a few hundred products benefit from enrichment. Product diversity can matter as much as or more than catalog size. We prioritize opportunities by customer demand so you focus on the enrichments with the most revenue potential.
How does this work with our existing category structure?
Similar AI creates new pages that complement your existing site structure. The new pages capture specific searches your current categories don't cover (like "brass chandeliers" when you only have a general "Chandeliers" page). Existing pages stay in place.
How quickly do we see results?
Pages can begin ranking within days and generating revenue within weeks. The system continues finding new page opportunities as your catalog and customer behavior evolves.
See what pages your products can create
Book a demo and we'll analyze a sample of your products to show you the pages your customers are already searching for. Real data from your catalog, no commitment.