CatalogIQ for B2C Retailers

Optimize Retail Catalogs for Zero-Click Discovery & Seamless Conversion

Transform messy retail feeds into AI-ready, conversion-driven product content that boosts discovery, trust, and sales — at scale.

Struggling with Product Data?

You’re Not Alone.

Retailers process a flood of supplier feeds, but scaling them into consistent, enriched product content takes weeks. Even after products go live, mismatched attributes and thin content frustrate shoppers and stall conversions.

“AI-driven shopping traffic has grown from virtually zero to 2–5% of retail visits this year.”Forbes, Oct 2025
Google AI Search Google Gemini ChatGPT Perplexity AI Copilot Search
 

Turn data chaos into conversion-ready product experiences.

We Know the Challenges. Here’s How You Win.

Address Brand Voice & Consistency Challenges

Build a Consistent Brand Voice

CHALLENGE: Inconsistent supplier voice and copy fragments the customer experience.

SOLUTION: Apply a unified, on-brand voice across every SKU, turning weak content into clear, persuasive messaging that builds trust and loyalty.

Normalize Inconsistent Product Attributes

Fix Broken Filters & Attributes

CHALLENGE: Attribute gaps and mismatches break search and filtering (“XL” vs. “Extra Large”). 

SOLUTION: CatalogIQ standardizes sizes, colors, units, and naming so filters work, products surface correctly, and shoppers buy with confidence.

Strengthen the Product Pages That Convert

Enrich Content for Conversion

CHALLENGE: Incomplete supplier copy reduces shopper confidence and limits SEO and AI search visibility.

SOLUTION:  Generate complete, conversion-ready content (titles, bullets, FAQs, attributes, and metadata) so your shoppers trust and take action.

Craft Commerce-Ready Catalogs

Engineering-First Data

CHALLENGE: Technical, incomplete product attributes lack enrichment with use cases, benefits, or customer-friendly language.

SOLUTION: CatalogIQ transforms ERP, PLM, and spec-sheet data into buyer-friendly catalogs by normalizing formats, filling gaps, and accelerating time to market.

Scale Seamlessly Across Channels

Omnichannel Syndication

CHALLENGE: Every channel has different rules, so Retailers must syndicate content to meet unique requirements. However, manual syndication is inefficient and risky.

SOLUTION: CatalogIQ automatically formats product content for each marketplace, controlling titles, bullets, and attributes, so teams expand faster without manual rework.

Make Your Products Visible & Easy to Find

Product Search & Discovery

CHALLENGE: Thin product data limits visibility so buyers can’t find what they need, leading to lost opportunities and declining conversions.

SOLUTION: CatalogIQ enriches product data, generates long-tail Q&A, and structures content for SEO and AI-driven search, boosting visibility and conversion across channels.

AI Commerce Reality

From AI Answers to Zero-Click Purchases

AI search is reshaping product discovery. Is your retail catalog ready?

AI isn’t just changing how buyers search — it’s changing how they buy. In 2025, platforms like Google, Gemini, ChatGPT, Perplexity, and Copilot Search are rolling out shopping features that answer high-intent purchase queries directly. Ecommerce SEO now means feeding these AI engines complete, structured, and enriched product data. If your listings lack context and depth, AI won’t surface them — and buyers won’t see them. To win in this new reality, you need to enrich product content, normalize supplier data, and standardize taxonomy so every SKU is purchase-ready.

Is your catalog ready for AI search?

CatalogIQ Smart Catalog Enrichment ensures your products surface in AI-driven search and zero-click shopping by making them easy for AI to parse, recommend, and display:

  • Align with AI parsing rules — normalize attributes (units, colors, categories) so SKUs are correctly recognized and classified.
  • Increase visibility in AI search — fill gaps in specs, tags, and metadata that qualify products for recommendation.
  • Boost persuasive relevance — enrich titles, bullets, and descriptions with structured, conversion-ready content.
  • Match buyer intent directly — add Q&A and compatibility content that address specific purchase questions.
  • Enable semantic retrieval — include use cases that help AI infer broader connections, surfacing products even without exact keyword matches.
  • Scale AI-readiness fast — automate enrichment so every SKU qualifies from day one.

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