The first question clients ask us when we talk about artificial intelligence is always the same: "Do I really need AI on my website?"
The honest answer is: it depends. And precisely to answer this question properly, we have created, from newWweb, a specialized line in applied AI consulting: AURA-AI.
But let's start from the beginning.
What has changed: the web is no longer a static storefront
For years, having a good website meant having an attractive design, updated content, and a consistent SEO strategy. We still believe these three pillars are fundamental — it's the foundation of what we've done at newWweb for over a decade.
But 2025 and 2026 have changed one important variable: users are clicking less and less.
Search engines like Google, Bing, and AI assistants like ChatGPT, Claude, or Gemini answer questions directly without the user having to visit any website. This has created a new discipline we call AEO (Answer Engine Optimization): optimizing your content not only so that search engines find it, but so that AI assistants cite it as an authoritative source.
And this is where AI stops being an option and becomes a strategic tool.
Three ways AI can transform your digital business
1. AI as a positioning tool: being the source cited by assistants
If a potential client asks ChatGPT "what is the best Drupal web development agency in Catalonia", do you want the answer to mention newWweb? To achieve this, your content must meet specific technical requirements: correct Schema.org, hreflang per language, complete meta descriptions, header hierarchy, and texts that answer specific questions.
At newWweb we have even developed our own Drupal module — AEO Multilingual — published on Drupal.org, which automatically audits every page of your website in all active languages and tells you exactly where you have optimization gaps for answer engines.
2. AI as an agent: automating without losing human warmth
A well-designed AI agent can handle inquiries outside business hours, qualify leads before they reach your sales team, or guide a user through the product catalog without anyone having to intervene. But — and this "but" is important — a poorly implemented AI agent does exactly the opposite: it generates incorrect responses, conveys distrust, and scares away customers.
The key is not to implement just any AI, but to implement it well. This means training it with the real knowledge of your business, defining the limits of what it can and cannot answer, and keeping it updated. This is exactly what we do at AURA-AI: we design agents that speak the language of your business, not the language of technology.
3. AI as an analysis tool: making decisions with real data
One of the most frequent mistakes we see in companies is making digital marketing decisions based on intuition when they have data available. AI allows you to analyze user behavior patterns, identify which pages generate more conversions and why, and predict search trends before they become obvious to the competition.
All of this, integrated into a content management system like Drupal, becomes a real and measurable competitive advantage.
When you DO need AI (and when you don't)
Not every company needs AI right now. Here's a quick guide:
You probably need AI if:
- You receive many repetitive inquiries via email or WhatsApp
- You have content in multiple languages and editorial management is slow
- You want to position yourself as an authoritative source in your sector for AI assistants
- Your team spends time on repetitive tasks that could be automated
You can probably wait if:
- You have just launched your website and the technical and content foundation is not yet solid
- You are not sure which specific problem you want to solve with AI
- Your traffic or inquiry volume is still low
Artificial intelligence does not solve business problems that are not well defined. That's why at AURA we always start with an analysis phase — the Phase A of the AURA methodology — before recommending any technical implementation.
The AURA methodology: AI with purpose
At newWweb, when a client needs an applied AI solution, we work together with AURA, the specialized consultancy we created precisely to cover this need in an ethical and structured way.
The AURA methodology works in four phases:
- A — Analysis: We understand your business, your users, and your objectives before touching any line of code.
- U — Utilization: We select the appropriate AI tools and models for your context, prioritizing European and self-hosted solutions when GDPR compliance is required.
- R — Response: We implement, test, and adjust until the solution works as it should.
- A — Adaptation: We document, train your team, and establish a system for continuous improvement.
The result is not "having AI". The result is having AI that works for your specific business.
A real example: CEDH-BCS
One of the projects where we have integrated web and AI together is the platform of the State Commission of Human Rights of Baja California Sur (Mexico). The challenge was complex: digitizing citizen complaint management with strict regulatory compliance, role control for non-technical staff, and public data transparency.
The solution combined a robust Drupal 10 backend with a public API for anonymized data and a React dashboard for internal metrics. The architecture was designed from day one to be able to integrate local AI models for automatic case classification in the future — without the need for refactoring.
The average complaint resolution time went from ~15 days to ~5 days. The platform has handled 100% of digital procedures since launch, with zero security incidents.
Frequently asked questions about AI and web
The next step
If you've made it this far, you probably have a specific question in mind. The best way to answer it is by talking.
At newWweb we help you build the technical and content foundation you need. At AURA AI we support you if the solution requires an applied artificial intelligence strategy.
You don't have to choose between one or the other. We work together so you don't have to manage two providers.
