Catalog.ai by AdYogi | AI Catalog Optimisation & PIM Platform
Catalog AI by AdYogi AI-powered catalog listing & optimisation intelligence

One intelligent catalog.
Optimised for every channel.

Catalog.ai helps ecommerce brands convert fragmented product information into enriched, search-relevant and channel-ready catalogs for their website, Google Shopping and leading marketplaces.

AI-powered attribute extraction
Marketplace-specific optimisation
Centralised product information
Built for multi-channel commerce
Amazon Flipkart Myntra Ajio Google Shopping Shopify
Channel-specific intelligence

One product. Different platform requirements.

Catalog.ai does not simply duplicate the same content everywhere. It structures and optimises product information based on the selected destination.

Amazon optimisation

Build complete, search-relevant Amazon listings

Structure product attributes and optimise titles, bullet points, descriptions and backend keywords according to product relevance and applicable category requirements.

Category-specific attributes
Title optimisation
Bullet-point enrichment
Backend search terms
Feature and USP extraction
Ready-to-review outputs
The catalog challenge

Your products may be strong. But can every platform understand them?

Marketplace discovery depends on the quality, completeness and relevance of the product information submitted by the brand. Incomplete attributes and generic content can limit how effectively products are classified, discovered and evaluated.

01

Every marketplace speaks differently

Amazon, Flipkart, Myntra, Ajio, Google and your own website can follow different taxonomies, naming conventions, mandatory attributes and content requirements.

02

Product data is often incomplete

Important information may be hidden inside product images, supplier sheets, descriptions or unstructured internal files.

03

Search behaviour keeps changing

Product terminology and keyword trends evolve, while older listings can continue using outdated or less relevant search terms.

04

Manual catalog operations do not scale

Updating titles, bullets, descriptions, attributes and backend keywords SKU by SKU creates delays, inconsistency and dependency.

How Catalog.ai works

From raw product information to channel-ready catalogs

Catalog.ai combines visual product understanding, structured product information, marketplace intelligence and content optimisation in one workflow.

STEP 01

Ingest

Import product data from your website, spreadsheets, feeds, internal systems or existing marketplace files.

STEP 02

Understand

AI analyses product information and images to identify relevant characteristics, specifications and differentiators.

STEP 03

Structure

Product attributes are organised and mapped to the taxonomy and accepted nomenclature of each selected platform.

STEP 04

Optimise

Titles, bullets, descriptions and keywords are enriched using product relevance, channel requirements and search intelligence.

STEP 05

Publish

Generate website- and marketplace-ready catalog outputs for faster review, upload and product listing.

Core capabilities

More than content generation.
A complete catalog intelligence layer.

Catalog.ai is designed to improve the underlying product information that powers discovery, customer understanding and catalog operations.

AI

AI product attribute extraction

Identify attributes by analysing product data and images, reducing the effort required to manually inspect every SKU.

  • Image-based product understanding
  • Category-relevant attribute extraction
  • Missing-information identification
  • Structured attribute outputs
TX

Platform-specific taxonomy mapping

Translate product information into the nomenclature and catalog structure expected by each commerce platform.

  • Category-specific attribute mapping
  • Channel-ready field structures
  • Accepted value standardisation
  • Marketplace guideline alignment
KW

Product-level keyword intelligence

Analyse search terms using product relevance, attributes and available keyword intelligence to strengthen discoverability.

  • Product-to-keyword relevance checks
  • Search-term analysis
  • Backend keyword optimisation
  • Keyword trend monitoring
CO

Listing content optimisation

Generate or improve product titles, bullet points, descriptions and feature-led content using identified product attributes.

  • Search-relevant titles
  • Benefit-led bullet points
  • Structured product descriptions
  • Platform-specific content lengths
PIM

Centralised PIM

Maintain a reusable source of product information rather than depending on separate files, employees and channel versions.

  • Central product repository
  • Consistent brand information
  • Reusable product attributes
  • Reduced institutional dependency
1:M

One-to-many catalog syndication

Convert one enriched product information source into multiple channel-ready catalog outputs instantly.

  • Website-ready catalog content
  • Marketplace-specific files
  • Faster new-product listings
  • Reduced repetitive operations
Catalog.ai
Central PIM
Shopify
Google
Amazon
Flipkart
Myntra
Ajio
Product information management

Create a durable product-information foundation for your brand

Catalog.ai acts as a central product information layer from which enriched, standardised and channel-ready content can be generated.

  • Maintain a consistent source of truth for product attributes, specifications and content.

  • Standardise brand voice across your website and marketplace presence.

  • Reduce dependence on individual employees, local folders and manually maintained spreadsheets.

  • Reuse structured product data when launching on new channels.

  • Create enriched listings across multiple destinations without rebuilding product information from the beginning.

See Catalog.ai in action
Business impact

Why a richer, continuously maintained catalog matters

Better product information helps both commerce platforms and customers understand what makes each product relevant.

01

Improve product discoverability

Complete attributes and search-relevant content give platforms more info to classify and match products.

02

Strengthen listing quality

Better titles, features, specifications and descriptions help shoppers understand the product before purchasing.

03

Accelerate time to market

Generate reusable, enriched product info and transform it into marketplace-ready outputs more efficiently.

04

Reduce manual catalog effort

Automate repetitive attribute extraction, content enrichment, mapping and file-preparation across large SKUs.

05

Maintain catalog consistency

Standardise product information and brand language while adapting the format for different channels.

06

Respond to search trends

Reassess keywords and catalog content as relevant product terminology and marketplace search patterns evolve.

07

Preserve knowledge

Keep structured product info inside a central system instead of relying on specific employees and local files.

08

Scale across channels

Use one enriched source of product information to support your website, Google feeds and multiple marketplaces.

Catalog transformation

Move from fragmented catalog operations to an intelligent system

The Old Way

Without Catalog.ai

  • Product information stored across multiple files
  • Generic content reused across every platform
  • Missing or inconsistent product attributes
  • Manual keyword and listing updates
  • Slow onboarding of new products
  • Knowledge lost when catalog employees move on
The Smart Way

With Catalog.ai

  • Centralised product information source
  • Channel-specific catalog structures
  • AI-assisted attribute enrichment
  • Search-relevant product content
  • Faster multi-channel listing creation
  • Consistent brand voice across touchpoints
Customer outcomes

Catalog optimisation that translates into measurable growth

Examples of results recorded across marketplace catalog optimisation initiatives.

Raymond

Amazon catalog optimisation

62%
Increase in organic revenue
207%
Increase in glance views

Results supplied by AdYogi. Performance can vary by brand, category, marketplace and implementation.

Lifelong.

Marketplace catalog optimisation

31%
Increase in glance views
21%
Increase in sales

Results supplied by AdYogi. Performance can vary by brand, category, marketplace and implementation.

CAMPUS

Flipkart catalog optimisation

39%
Increase in organic impressions
21%
Increase in sales

Results supplied by AdYogi. Performance can vary by brand, category, marketplace and implementation.

Who it is built for

Designed for brands managing catalog complexity at scale

Large-SKU brands

Brands with hundreds or thousands of products, variants and category-specific attributes.

Marketplace-first

Sellers seeking stronger product discoverability and more consistent listings across platforms.

Omnichannel retailers

Retailers managing product information across their website, Google Shopping and multiple marketplaces.

Catalog operations

Teams that want to reduce repetitive work and accelerate product listing, enrichment and maintenance.

Frequently asked questions

Everything you need to know about Catalog.ai

Catalog.ai is an AI-powered catalog information, enrichment and optimisation platform developed by AdYogi. It helps ecommerce brands structure product data, identify attributes, optimise listings and generate channel-ready catalog outputs.

Catalog.ai is designed to work on the underlying product information—not only generate text. It analyses product data and images, identifies attributes, maps information to channel-specific structures and uses those inputs to enrich titles, bullets, descriptions and keywords.

Yes. Catalog.ai provides a central product-information layer that can help brands organise, standardise and reuse product information across their website and marketplaces.

No. Product information can be mapped and formatted according to each platform's category structures, nomenclature, attribute expectations and applicable content requirements.

Yes. Existing catalogs can be analysed to identify missing attributes, inconsistencies, content gaps and opportunities to improve product-level keywords and listing information.

Catalog.ai is designed to monitor relevant keyword information and changing search terminology so that older catalog content can be reviewed and updated when better opportunities are identified.

Catalog.ai is designed for ecommerce websites and commerce channels such as Shopify, Google Shopping, Amazon, Flipkart, Myntra, Ajio and other marketplace environments. Exact onboarding requirements can be discussed during the consultation.

Your catalog should be a growth asset—not an operational bottleneck.

Book a consultation with AdYogi to understand how Catalog.ai can enrich your product information, optimise marketplace listings and create a scalable catalog foundation across your commerce channels.