100% human control
Nothing is published without your team's approval. The AI proposes, it never decides on its own.
Automation and Governance
Automated content creation with zero brand risk.
Creation speed with absolute brand security. The AI system proposes. Your team approves with a single click.
AI proposes · Your team validates · Vanadian executes
Performance and agility
Multiply your digital catalogue and cut real costs.
Publishing late means losing sales. The system enriches, optimises and prepares each product or page for publication within 10 to 30 seconds, depending on the technical complexity of the content, eliminating manual bottlenecks and launching collections, products or updates on time.
- Instant time-to-market. Launch collections, products or updates without waiting for the manual writing cycle.
- Direct return on investment. Frees up 80-90% of the time your team spends on repetitive tasks every month.
- Calculated on your own structure. If it currently takes you 5 hours to publish 10-20 optimised products, Vanadian reduces this to 30-40 minutes.
10–30s
Per page generated and ready for validation
Basic content80%
Commercial content85%
Technical content90%
Reduction in manual workload compared with the conventional process.
Governance and operational calm
Full editorial control, without developer dependency.
You don't need to know code, manage servers or choose AI models. Your team works within a visual interface where they review, adjust and approve the content. Once the semantic proposal is validated, the system delivers the code from the European server with excellent loading speed and accelerated indexing in traditional search engines (SEO) and AI assistants (GEO).
One-click validation
A visual interface with no learning curve. Approve, adjust or reject in seconds, in batches or one by one.
6-state workflow
From reading the CMS/ERP to SEO/GEO indexing. Full traceability, auditable and reversible.
No code, no servers
Forget about choosing models, maintaining APIs or tuning prompts. PixUP takes care of the technical layer.
Control architecture
Why a data governance system outperforms general-purpose AI tools.
Corporate-level content creation demands total precision. Generic AI tools fail in business environments because they generate flat text based on nothing, mixing up concepts or hallucinating product data.
Vanadian operates on a dynamic architecture model that connects bidirectionally with your CMS or ecommerce data. Integration with your ERP is optional but recommended: it amplifies the savings and ensures the base data enters the system clean.
- Real source data. The system reads references, titles and technical specifications as its starting point.
- Application of guidelines. Your style guide, glossary and brand strategy guide every word.
- Mandatory intermediate state. Content is stored pending validation: nothing is published without your approval.
-
1
Source
Client's CMS, ecommerce or ERP -
2
Context
Glossary, style guide, sector and chosen AI model -
3
Validation buffer
Intermediate database · provisional state · no impact on the frontend -
✓
Publication with structured format
Semantic HTML + schema.org + llms.txt
Optimised semantic delivery
Server-Side Rendering, schema.org and the llms.txt standard.
Online visibility has changed with the emergence of generative assistants (ChatGPT Search, Perplexity, Gemini, Copilot). These engines don't just crawl keywords: they read clean structural code, compare semantic databases and select high-authority sources to answer users directly.
Native SSR in Iridian
We process data in Europe and deliver semantic HTML that's immediately readable. No render-blocking JavaScript to delay indexing by AI agents.
Schema.org JSON-LD
Structured data automatically generated for Product, FAQ, Organization, BreadcrumbList and anything each page needs to be cited as a preferred source.
Automatic llms.txt
We generate the simplified text index that language agents read directly. They absorb your content structure with no server-time penalty.
Hreflang and canonicals
Correct multilingual structure for ES, CA and EN. No duplicates, no orphaned content, with every market cited by its own version.
WebP images + alt text
Automatic conversion to WebP, declared dimensions, lazy loading by default and semantic alt text generated from the product, not generic.
Smart sitemaps
XML per language with real priorities and a semantic sitemap for AI. Fast indexing in Google, Bing and generative engines.
Important note on technical scope: Vanadian generates and delivers optimised content with all SEO/GEO criteria applied. The actual publication of schema.org, sitemaps, llms.txt, SSR and WebP images depends on the client's CMS or ecommerce platform. Iridian Web and Iridian Ecom include this as standard. On WordPress, PrestaShop or Shopify it is enabled via a module, plugin or prior configuration, depending on your installation's capabilities.
Defensibility
Operational cost analysis and international consistency.
A real comparison between the three models coexisting today in the web publishing and ecommerce market.
| Performance criterion | Manual process | Uncontrolled AI | Vanadian COAS |
|---|---|---|---|
| Brand assurance | High Unsustainable pace at scale. | None High risk of hallucination. | Absolute Mandatory validation before publishing. |
| Language localisation | Slow and costly. Cost multiplies per market. | Generic translation that ignores terminology. | Governed by your technical glossaries. |
| Agility (time-to-market) | Weeks of delay in publishing collections. | Fast, but generates extra correction work. | 10–30 s depending on technical complexity. |
| Code delivery | Standard HTML dependent on connectors. | Heavy integrations with excessive JavaScript. | Clean SSR · immediate readability for AI. |
| Financial return | Linear increase in staffing budget. | Apparently cheap, consumes hours of coordination. | Direct return: 80–90% of time saved per month. |
| Data sovereignty | Depends on each intermediary tool. | Usually outside the EU, with no GDPR guarantees. | Green servers in Barcelona · GDPR-compliant. |
FAQ
Frequently asked questions on automation and AI policies.
Answers aligned with Google's quality guidelines and the E-E-A-T framework.
How do you connect ERP, PIM and ecommerce with generative AI?
Vanadian COAS acts as an orchestration layer between your ERP, PIM and ecommerce platform: it reads master data from the ERP, enriches it with generative AI under editorial governance and publishes the result to the PIM or directly to the ecommerce platform (PrestaShop, WooCommerce, Shopify or custom builds).
Each system keeps its role: the ERP owns the data, your team owns the content and AI only proposes.
Is it safe to use content creation systems for today's SEO?
Yes. Google evaluates the originality, depth and usefulness of content for the end user (the E-E-A-T framework) and does not penalise the use of AI within the creative process. The real risk lies in mass automation without contextualisation or semantic structure.
Vanadian complies with Google's quality policies because it uses your company's structured information and requires on-screen human review before any publication. We prevent the publication of pages devoid of value whose only aim is to game the algorithm.
How does Vanadian guarantee translation quality in technical markets?
Unlike conventional translators or non-personalised tools that merely convert words literally, Translation Ops works within a restricted, contextualised data framework.
The system mandatorily applies the terminology from your glossaries, your style guide and the official grammar of the target language. The result is a coherent, professional-quality translation for complex markets or highly regulated sectors.
Why is European hosting a security asset?
Data sovereignty is a legal requirement under GDPR. Many tools use servers in third countries with no real privacy guarantees, exposing your ecommerce's corporate information.
All contextualisation and activity logs are stored on a European server. The client chooses the AI processing model used to run the creation process (OpenAI, Claude, Gemini, Mistral or a proprietary LLM): only public data is sent to the models, while critical data stays in Europe, hosted in Barcelona under the GDPR framework.
What happens if the AI proposes something incorrect?
The system is designed precisely for that case. Every proposal remains in a provisional state. Your team can approve, adjust or reject it with a single click, and the trace is logged for auditing. Since nothing is published without human validation, no AI error ever reaches the frontend.
Do I need to migrate my ecommerce platform or change CMS?
No. Vanadian works at the content layer without touching prices, stock levels or references. It integrates natively with Iridian (recommended) and as a module in PrestaShop, a plugin in WordPress, or via API/connector in Shopify and headless setups. Inventory and sales operations remain unaffected.