Agentic Content Enrichment

Turn scattered information into product knowledge that sells.

Chatsi’s AI agents compare your catalog with documents, specifications, images, and other trusted sources. Fill information gaps, resolve discrepancies, and create richer knowledge for shoppers and AI discovery.

Product details from a photo and manual fill gaps in an existing catalog record. Illustrative example.

  • Product name: Travel backpack. Existing.
  • Side pockets: Two, stretch mesh. Added. Source: Photo.
  • Capacity: 28 litres. Added. Source: Specification.
  • Material: Looks water-resistant. Needs review. Source: Photo only — needs evidence.

How it works

  1. Learn from documents and visual content

    Extract useful details from manuals and specifications. Built-in visual intelligence examines images, compares observations with known data, and identifies information that descriptions may miss.

  2. Add value without repeating information

    Recognize what is already known, standardize new attributes, and validate details against catalog requirements. Retain source references and seek corroboration for specifications an image alone cannot establish.

  3. Let shopper needs guide improvement

    Use recurring questions, unsuccessful searches, and buying objections to prioritize enrichment. Improve the information behind product answers, recommendations, and external discovery.

Example: before and after

Before

Travel backpack.

After

Travel backpack. Two stretch side pockets. Source: Product photo 28-litre capacity. Source: Manufacturer specification

Explore connected Chatsi capabilities

  • Product

    AI Knowledge Hub

    Connect your product data and brand expertise in one AI knowledge foundation.

  • Product

    GEO Connect

    Connect your product knowledge to AI assistants and emerging discovery channels.

  • Product

    Growth Insights

    Discover shopper needs, buying barriers, and opportunities to grow.

Frequently Asked
Questions

Questions about Chatsi? Our team’s ready to assist whenever you need support.

AI agents identify missing information and extract, organize, and validate product details from multiple sources to improve catalog knowledge.
Yes. Visual analysis can reveal observable details. Exact materials, dimensions, and compatibility require supporting evidence when images are insufficient.
Chatsi compares findings with existing information to identify useful additions and discrepancies rather than simply repeating what is already present.

See how Chatsi fits your store.

Bring your catalog, customer questions, and goals. Let’s explore the right combination of Chatsi capabilities for your buying journey.