DXP 360 AI – The future of the digital experience is intelligent
Holistic AI integration for Magnolia & all digital experience platforms.
From analysis to implementation – with measurable results.
What is DXP 360 AI?
DXP 360 AI is our comprehensive framework for AI integration in Digital Experience Platforms. We combine strategic consulting, technical implementation, and continuous optimization – specialized in Magnolia CMS and modern DXP architectures.
"According to Gartner, 30% of all AI projects already fail in the pilot phase. We rely on KPI-driven selection, measurable outcomes, and sustainable integration."
Our 3 core services
AI integration in existing DXP
Magnolia AI Accelerator, hybrid search, custom workflows – seamlessly integrated into your existing infrastructure. On-premise or cloud.
Custom AI Solutions
Tailored workflows with N8N, Agentic AI, RAG systems, content generation – precisely tailored to your use cases.
Workshops & Audits
Full-day workshops for use case prioritization. Pentest-like audits with spider diagrams, point scores, and concrete recommendations for action.
Results & KPIs
The 4 Pillars of AI Integration
Pillar 1: Content Production & Asset Management
- AI-generated content creation
- DAM tagging & alt-text automation
- SEO AI helper modules
- Image generation & recognition
Pillar 2: Technical SEO & Compliance
- Schema.org & structured data
- AIO, GEO, AEO Optimization
- llms.txt for AI crawlers
- WCAG AA+ Compliance
Pillar 3: UX, Discovery & Personalization
- Hybrid Search (Vector + classic)
- Hyper-personalization on the Edge
- AI Chatbots for Support
- Predictive Navigation
Pillar 4: Infrastructure, Data & Operations
- N8N Custom AI Workflows
- CRM Integration (HubSpot, Salesforce)
- Edge Rendering (1-Second Goal)
- Monitoring & Analytics
KPI-Driven Pre-Selection Matrix
We evaluate each use case based on business impact vs. implementation cost. Only projects with real ROI move into implementation.
| Feature Name | Cost Level (1-5) | Impact Level (1-5) | Category |
|---|---|---|---|
| Image recognition & image generation | 1 | 1 | Content Production & Asset Management |
| Translation Services | 1 | 1 | Content Production & Asset Management |
| DAM tagging & alt texts | 1 | 2 | Content Production & Asset Management |
| SEO AI help Modul | 1 | 2 | Content Production & Asset Management |
| Content creation via prompt | 2 | 3 | Content Production & Asset Management |
| Content Recycling | 3 | 3 | Content Production & Asset Management |
| Edge Rendering | 3 | 3 | Technical SEO & Compliance |
| AI Search Optimization & Analysis | 2 | 4 | Technical SEO & Compliance |
| Schema.org & WCGA AA+ | 3 | 4 | Technical SEO & Compliance |
| Static HTML Pages for AI Bots | 2 | 5 | Technical SEO & Compliance |
| n8n Custom AI Workflows & Automatation | 5 | 5 | Technical SEO & Compliance |
| Product Service & Shopping Map for AI and SEO | 5 | 2 | Personalization, UX & Discovery |
| Predictive Navigation | 5 | 2 | Personalization, UX & Discovery |
| Hybrid Search (full-text search & product search) | 2 | 3 | Personalization, UX & Discovery |
| Chatbot for support cases | 3 | 4 | Personalization, UX & Discovery |
| CRM Integration | 3 | 5 | Personalization, UX & Discovery |
| Hyper Personalization | 4 | 5 | Personalization, UX & Discovery |
| Proprietary Products Solution with Stripe (ChatGPT) | 2 | 1 | Products, Data & Operations |
| AI Accelerator Implementation | 4 | 4 | Products, Data & Operations |
| UCP from Google integration | 5 | 5 | Products, Data & Operations |
Example: Audit Score Visualization
Our pentest-like audit delivers detailed scores for all 4 pillars with concrete recommendations for action.
AI-first Optimization: AIO, GEO, AEO
The new generation of search engine optimization – for AI engines and traditional search engines.
SEO (Search Engine Optimization)
Technical health, crawlability, links, on-page rendering – the basis for everything. 🔍
AIO (AI-first Optimization)
Optimization for AI systems like ChatGPT, Perplexity, Claude – so that your brand is correctly understood and cited. 🤖
GEO (Generative Engine Optimization)
Structure content so that LLMs cite and recommend it in generated answers. 🎯
AEO (Answer Engine Optimization)
Featured Snippets, "People Also Ask", Voice Assistants, AI Overviews – the direct answers are winning. 📊
How quickly are new pages indexed?
| AI Engine | Primary Index | Typical Timeline |
|---|---|---|
| ChatGPT / SearchGPT | Bing Index + OpenAI Filter | 7-14 days |
| Perplexity AI | Own index + Bing API | 3-21 days |
| Claude (Anthropic) | Brave Search Index | A few days to 2 weeks |
| Gemini (Google) | Google Search Index | Hours to a few days |
| Google AI Overviews | Core Google Index | As soon as indexed (hours-days) |
Conclusion: Structured data (Schema.org, llms.txt) massively accelerate inclusion.
Our process: From analysis to live operation
Discovery & Audit (1-2 weeks)
Pentest-like analysis of your DXP. Spider diagrams for content, SEO, UX, infrastructure. Point scores per pillar.
Workshop & Use-Case Prioritization (1 day)
Full-day workshop with your team. KPI-driven matrix for business impact vs. implementation cost. Definition of the top 3–5 use cases.
Prototyping & POC (2-4 weeks)
Rapid validation: Does the use case work in your environment? Proof of concept with real data.
Implementation (4-12 weeks)
Development, testing, integration. On-premise or cloud. With your team or as a managed service.
Training & Rollout (1-2 weeks)
Training for your content managers and DevOps. Documentation, best practices, monitoring setup.
Monitoring & Optimization (ongoing)
KPI tracking, A/B tests, continuous improvement. Quarterly reviews and optimization workshops.
Meet the Expert
Peter Müller
Founder, Consultant & DXP AI Expert
Technical Project Manager at dev5310 with 15+ years of experience in Digital Experience Platforms. Magnolia Certified and specialist in AI integration in enterprise environments.
Frequently Asked Questions
Q: What is DXP 360 AI?
A: DXP 360 AI is a comprehensive concept for holistic AI integration in Digital Experience Platforms. It offers workshops, custom solutions, audits, and live implementation with a focus on Magnolia CMS and sustainable AI outcomes.
Q: Do I have to use Magnolia?
A: Magnolia is our primary focus and where we have the deepest expertise. However, we also work with other DXP platforms and integrate any system your stack requires.
Q: How long does a workshop take?
A: Initial call: 30–60 minutes to identify topics. Full-day workshop: 6–8 hours for strategy, use-case prioritization, and first implementation steps.
Q: How long does an implementation take?
A: From 4–8 weeks for smaller customizations to several months for comprehensive integrations, depending on the use case and system complexity.
Q: Can you audit existing AI systems?
A: Yes, absolutely. Our pentest-like audit approach also evaluates existing systems and shows concrete optimization potential using spider diagrams and point scores.
Q: Do you work remotely or on-site?
A: Both. Initial sessions are often remote (more flexible), while workshops and implementations are hybrid or on-site depending on project requirements.
Workshop booking
Start with a free 30-minute conversation. We analyze your requirements and show concrete use cases.
Audit request
Start with a free 30-minute conversation. We analyze your requirements and show concrete use cases.
Architecture-Call
Start with a free 30-minute conversation. We analyze your requirements and show concrete use cases.