September 24, 2025

Announcing Source Attribution for AI Content

Trustana’s AI Product Data Platform Introduces Source Attribution for Greater Transparency

This feature is available for customers on the

Tier or higher. Reach out to book a demo with our sales team today.

This feature is available for customers on the

Tier. Reach out to book a demo with our sales team today.

Announcing Source Attribution for AI Content

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We’re thrilled to introduce a significant leap forward for Trustana’s AI Product Data Platform by integrating source attribution into all our generated content.

Managing tens or even hundreds of thousands of SKUs is no small task. That’s why we’ve integrated source attribution into all AI generated content, giving you the transparency to review data, integrate preferred sources, and create accurate, customer ready listings fast.

How It Source Attribution for Product Data Works

  • See Data Sources in Real Time. Whenever AI generates product descriptions, specifications, or bullet points, you’ll instantly know where that information comes from.
  • Choose Trusted Data Feeds. Select which suppliers or sources to prioritize, ensuring you rely on high quality, verified information.
  • Verify Faster, Work Smarter. No more sifting through spreadsheets or emails. Quickly confirm details and move products to market faster.

Why This Matters for Multi-Brand Retailers, Marketplaces, and Distributors

Verifying product details is time consuming and frustrating, but necessary. When completed manually, the time and resource expenditure is significant for businesses. Source attribution eliminates the manual aspect of this effort by showing exactly where your AI generated content comes from. This means you can:

  • Instantly identify data sources. Know whether a product detail is from your supplier feed or a third party source. For example, if a packaging claim appears in your content, you can quickly confirm if it’s from the manufacturer or an external data provider.
  • Fix inconsistencies fast. If a product’s certifications, like an organic label, need validation, you can trace them back to the official source. This ensures compliance with regional regulations and marketplace standards
  • Build trust with partners and customers. Providing verifiable product information keeps suppliers, buyers, and internal teams aligned. Whether it’s material composition, usage instructions, or marketing claims, source attribution helps maintain accuracy and reduce costly errors.

Ready to transform how you manage product data at scale? Request a demo today, and see how easy it is to take charge of your AI generated content. Our team will guide you step by step, from setting up your preferred data sources to enforcing compliance rules, so you can deliver authentic, consistent product listings at record speed.

Source Attribution for AI-Generated Content FAQ

What does “source attribution for AI content” mean in Trustana’s platform?
Source attribution for AI content means that every piece of AI-generated product information (such as descriptions, tags, and enriched attributes) includes clear traceability showing where the content was sourced from. This lets teams see if a value came from an internal system, supplier feed, public page, or another trusted resource and understand exactly how the AI derived it.

Why is source attribution important for AI-generated product content?
Attribution boosts transparency and trust by showing the origin of enriched data. When teams can verify sources easily, they can quickly audit, correct, or prioritize content, reducing risk of errors and ensuring product information aligns with business rules and brand standards.

How does Trustana surface source information in the platform?
Trustana’s explainability layers and summary interfaces display source details directly within the product data workflow. This can include the source type (internal, partner, or public), the file or link used, and how each source influenced specific product attributes or descriptions.

Can teams control which sources the AI uses?
Yes. Teams can set content rules and source priorities—such as preferring first-party ERP data, whitelisting trusted vendor feeds, and blocking unreliable public sites, so the AI enrichment process follows business logic and quality standards.

Does source attribution help with quality assurance (QA)?
Absolutely. With traceable sources visible in the UI, reviewers can verify where content came from before approving it, fast-track QA checks, and identify discrepancies without manually checking multiple data files.

How does source attribution support governance and compliance?
Built-in approval workflows paired with source tracking let teams lock content after review, maintain audit trails, and demonstrate governance practices. This is especially valuable for large catalogs or regulated industries where accuracy and accountability are crucial.

Will source attribution improve consistency across product listings?
Yes. By enforcing clear source rules and consistent traceability, teams ensure that enriched content follows a uniform standard across categories, reducing variability and misalignment in product data.

Is source attribution only useful for product enrichment?
No. Although especially powerful for AI enrichment, source attribution also improves search visibility, metadata quality, internal search relevance, and SEO/AEO performance because transparent sourcing signals reliability to both users and AI systems.

Can source attribution reduce manual cleanup work?
Yes. When teams trust the provenance of AI-generated content and can verify sources quickly, they spend less time correcting errors, reconciling conflicting data, or investigating where a value came from.

How quickly do teams see value after enabling source attribution?
Most teams experience immediate gains in operational confidence, faster review cycles, and more consistent content quality once source attribution is active, especially when managing large catalogs or frequent updates.

Get an Expert Review of Your Product Data

Get practical guidance on improving catalog quality, enrichment workflows, and AI readiness based on your current setup.

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