Frequently Asked Questions

Every project starts with a free 30-minute discovery call where we assess your specific needs. From there, we follow a structured process: requirements analysis, concept, pilot phase, and rollout. You receive clear deliverables and milestones at every stage — no black box.

We deliver pilot projects in 2–4 weeks and full implementations typically take 6–12 weeks. The exact timeline depends on scope and complexity — after our initial call, you will receive a realistic time estimate.

We work with a shared project channel (Slack, Teams, or email — your choice), weekly status updates, and a joint task board. You always have a dedicated point of contact and full transparency on project progress.

Absolutely — we actually recommend it. A pilot proves the approach works within a few weeks before you commit to a larger investment. This minimizes your risk and delivers tangible results fast.

After launch, we offer optional support packages for monitoring, updates, and ongoing optimization. We document everything so your internal team can work independently — there is no vendor lock-in with IJONIS.

IJONIS is based in Hamburg, Germany. We work fully remote with clients across the DACH region (Germany, Austria, Switzerland). In-person meetings are always possible — whether in Hamburg, at your office, or as a hybrid format.

Costs depend on scope and complexity. A focused pilot typically starts in the low five-figure range (EUR), with larger implementations above that. After our initial call, you receive a transparent quote with no hidden fees.

Yes. The 30-minute discovery call is free and non-binding. We analyze your situation, identify quick wins, and determine whether a collaboration makes sense for both sides. Alternatively, you can take our free AI Readiness Assessment online in 3 minutes.

We offer both models. Clearly scoped projects are delivered at a fixed price. For exploratory or iterative work, we recommend time-and-materials billing with a monthly budget cap — so you stay in full control of costs.

Meaningful AI integrations start from around EUR 10,000. What matters more than budget is the specific use case and the savings potential. Our AI Readiness Assessment helps you estimate ROI upfront.

The free AI Readiness Assessment is a 3-minute online questionnaire that analyzes your current digitalization level, data maturity, and AI potential. You receive an instant evaluation with concrete recommendations — no sales pitch required.

Yes, we offer monthly support packages covering monitoring, updates, and continuous optimization. The scope is flexibly scalable — from lightweight monitoring to active feature development.

Our core stack includes Next.js, TypeScript, and Python for frontend/backend, Supabase as a data platform, and various AI/LLM providers (OpenAI, Anthropic, Google Gemini, among others). We choose technologies based on the specific use case — not the latest hype.

Yes, system integration is one of our core strengths. We connect existing ERP, CRM, and DMS systems via APIs, webhooks, or middleware solutions. The goal is always to extend your existing infrastructure — not replace it.

GDPR compliance is our default, not an add-on. We work with European hosting providers, offer German data residency, and incorporate data protection from the concept phase (Privacy by Design). On request, we also support Data Protection Impact Assessments.

Yes, that is our guiding principle. We deliver clean, documented code with a clear architecture so your internal team or future partners can work independently. No proprietary framework, no lock-in.

AI consulting identifies potential and develops a strategy: where does AI add value in your business? AI automation implements that strategy technically — from data preparation and model selection to production-ready deployment. IJONIS delivers both under one roof.

Both — depending on the use case. For maximum control and data privacy, we deploy open-source models on your infrastructure. For peak performance, we use proprietary APIs (OpenAI, Anthropic, Google). The right choice depends on your requirements for cost, privacy, and performance.

We work across industries with a focus on the DACH Mittelstand (mid-market): manufacturing, logistics, healthcare, education, e-commerce, and professional services. What matters is not the industry but whether your use case fits our expertise.

Our core target group is mid-market companies with 50–500 employees. For startups and solopreneurs, we offer free self-service tools: the AI Readiness Assessment, the GEO Content Check, and our open-source tool GEO Lint.

No, but a basic digital infrastructure helps. We meet you where you are — whether you are just beginning your digital transformation or already managing a complex IT landscape. Our AI Readiness Assessment shows you where you stand in 3 minutes.

We have experience with common ERP systems (SAP, Microsoft Dynamics, DATEV, and others) and numerous industry-specific solutions. If your particular system is not yet in our portfolio, we clarify technical feasibility in the free discovery call.

Company size matters less than having repetitive, data-driven processes. As a rule of thumb, AI starts paying off at around 20 employees when recurring tasks measurably consume time. Our AI Readiness Assessment helps estimate your individual potential.

GEO is the optimization of your digital presence for AI search engines like ChatGPT, Perplexity, and Google AI Overviews. While SEO positions your website in traditional search results, GEO ensures that AI agents recognize, cite, and recommend your business as an authority.

AI visibility requires structured, fact-rich content that LLMs can easily process: clear claims, schema markup, consistent entity data, and citable expertise. IJONIS analyzes your current AI visibility and develops a targeted GEO strategy.

An IJONIS AI audit analyzes how AI search engines currently perceive your business: Are you being cited? For which queries do you appear — and for which ones do you not? You receive a concrete action plan with prioritized recommendations.

Yes, they complement each other. SEO remains essential for traditional search engines. GEO is increasingly important as more people use AI assistants instead of Google. An integrated strategy ensures you are visible in both worlds.

SEO optimizes for keyword rankings in traditional search engines (Google, Bing). GEO optimizes for citations and recommendations by AI models (ChatGPT, Perplexity, Gemini). SEO focuses on links and keywords; GEO focuses on structured facts, authority, and citability.

A one-time AI audit with an action plan starts in the low four-figure range (EUR). Ongoing GEO optimization is available as a monthly package. Start with our free GEO Content Check to get a first impression of your current AI visibility.