Answer Engine
A verified answer layer for websites and company knowledge. Useful for service companies, B2B websites and complex offers.
Open product
For digital and e-commerce agencies
Turn every e-commerce website into an AI-ready product data layer.
Veritiana gives agencies a sellable AI infrastructure offer: Signal for AI-readable product catalogs, Answer Engine for verified website answers, and SourceNote for operational workflows.
White-label
sell under agency offer
E-commerce
catalog / product focus
Retainers
scan / fix / monitor
Agency product stack
Client AI-readiness pipeline
Signal Scan
Show merchants what AI cannot read from their products.
Product Data Repair
Resolve brand, category, identifiers, variants, offers and use-case signals.
JSON-LD / AI Layer
Deploy machine-readable profiles through pages, feeds or API endpoints.
Audit
Fix
Deploy
Monitor
Agency positioning
Do not sell another chatbot. Sell AI-readiness infrastructure.
Clients need their content, products and business rules prepared for AI systems that answer, recommend and compare.
Priority for agencies
E-commerce Signal
AI product data infrastructure for stores. The best agency entry point for Shopware, Shopify, WooCommerce, Magento, PrestaShop and custom catalogs.
Open SignalSourceNote
Operational notes converted into structured reports, tasks and customer-ready communication for service-heavy clients.
Open productMain agency product
Signal gives agencies a new e-commerce service category.
Most stores were optimized for humans and classic search. AI systems need cleaner product identity, machine semantics, explicit offers and structured context.
Agency offer
AI Product Data Readiness
A packaged audit, repair and deployment service around product data clarity for AI shopping.
1. AI readability scan
Run selected products through Signal and show what AI can read, what is weak and what is missing.
2. Product truth layer
Resolve product name, brand, category, SKU, GTIN/EAN, variants, offers, availability and use-case context.
3. JSON-LD and feed output
Generate machine-readable profiles for product pages, catalog exports, merchant feeds or AI-agent endpoints.
4. Monthly monitoring
Turn the scan into a retainer: new products, changed fields, missing signals, weak categories and catalog drift.
E-commerce platforms
Strong focus on Shopware. Ready for other commerce stacks.
Agencies can package Veritiana Signal around the platforms they already implement and maintain.
Shopware
Primary fit for agencies managing structured catalogs, categories, attributes, variants and B2B/B2C commerce projects.
Shopify
Fast entry point for merchants with product pages, collections, apps, feeds and scalable catalog optimization needs.
WooCommerce
Useful for WordPress agencies that need an AI-readiness product beyond classical SEO and page performance work.
Magento / Adobe Commerce
Strong for larger catalogs where product data consistency, attributes and feed quality affect machine readability.
PrestaShop
Practical fit for EU merchants that need clearer product identity, offer data and structured semantic output.
Custom ERP / PIM / feeds
Connect storefront HTML, XML feeds, PIM exports, ERP product data and custom product APIs into one AI-facing layer.
How agencies sell it
Package Veritiana as a recurring AI-readiness service.
The commercial value is not the first scan. The value is the ongoing improvement of product data, answer quality and machine-facing structure.
Package 01
AI Product Audit
One-time scan of selected products and categories. Shows missing brand, category, identifiers, variants, use-case and structured data gaps.
Package 02
AI Catalog Repair
Monthly product-data cleanup, JSON-LD generation, feed alignment and semantic profile creation for important products.
Package 03
AI Visibility Retainer
Ongoing reporting, new product checks, category coverage, answer gaps and machine-readability improvements.
Agency dashboard
Reports that justify retainers.
Veritiana turns technical AI-readiness into client-facing business language: what users ask, what AI can understand, what data is missing and what should be fixed next.
Client insight report
AI catalog readiness overview
62
avg AI readability
418
products scanned
37%
missing identifiers
Top gap: product category and use-case context are too weak for AI
recommendations.
Recommended
action: prioritize top 50 revenue products for JSON-LD and
product profile repair.
Agency next step: propose AI Catalog Repair retainer.
Why now
E-commerce discovery is moving from search results to AI answers.
When customers ask AI which product to buy, the product must be machine-readable, semantically clear and supported by structured data. Agencies that solve this early create a new service line.
AI discovery
Products must be understandable by AI systems, not only indexed by search engines.
Catalog quality
Missing identifiers, weak variants and unclear categories become business risk.
Trust layer
Merchants need authoritative product truth instead of AI guessing from noisy HTML.
Recurring revenue
Scan, repair, publish and monitor becomes an agency retainer model.
Agency partnership
Build a sellable AI-readiness offer for your e-commerce clients.
Start with Signal for Shopware and e-commerce catalogs. Add Answer Engine and SourceNote where clients need verified answers or operational workflows.
Contact
partners@veritiana.com
For agencies building Shopware, Shopify, WooCommerce, Magento, PrestaShop or custom catalog projects.
First step: choose one client
catalog, scan priority products, create a concrete AI Product Data Readiness report.