AI is citing your competitors.
RelioMedia fixes that.

The mini-audit is free. In 30 minutes we walk through your visibility across four engines, identify the three biggest gaps and show one concrete lever. If you want to go deeper, the Pilot Audit is €1,450 (regular €4,500), or the retainer starts at €999/month. Full pricing on /leistungen.

LLMs update training data and indexes differently. Perplexity and Google AI Overviews can react to site changes within 4–8 weeks. ChatGPT and Claude are slower (12–24 weeks) because they continue to differentiate between training cutoffs and web search. Concrete schema and content optimisations typically lead to measurable citation increases within 8 weeks, depending on industry and domain authority baseline.

We launched in 2025 and currently have no published cases — that's why we offer the pilot slot at a third of the regular price. Instead of someone else's logos, we show what we can do: our methodology (see method page) and our two-stage pipeline with strict separation of data collection and evaluation. Cases follow with the first pilot projects — we'll communicate them transparently.

Generative Engine Optimization (GEO) is the discipline of structuring a website or brand so that generative AI engines like Perplexity, ChatGPT, Google AI Overviews and Claude cite it in answers. Classic SEO optimises for clicks; GEO optimises for mentions and source status. The levers are schema markup, entity mapping, E-E-A-T signals and semantically dense, stand-alone citable content.

SEO optimises for the Google SERP — keyword density, backlinks, CTR. GEO optimises for the AI's answer: structured data, unambiguous entities, author authority, factual density. A GEO-optimised page can rank classically poorly on Google — yet be cited in 70% of Perplexity answers in its category. The two disciplines aren't mutually exclusive, but they require different content and different architecture.

Perplexity, ChatGPT (incl. SearchGPT mode), Anthropic Claude (with web search enabled) and Google AI Overviews. The engine selection is based on which generative engines are actually used for vendor research in the DACH B2B space — currently primarily Perplexity and ChatGPT.

No. We are explicitly a GEO-specialist agency. If you need classic SEO, SEA or paid social, we recommend specialist partners. Our focus on a single discipline is deliberate: in 2026, GEO is still young enough that generalists don't make a difference.

Yes. Servers in the EU (Cloudflare EU region), analytics via Plausible (cookieless, no personal data), audit data cached at most 30 days. On pilot and retainer engagements we sign DPAs (Art. 28 GDPR) and provide TOMs. Full privacy policy on /datenschutz.

Our sweet spot is B2B SaaS, FinTech and IT mid-market between Series-A and mid-market — typically 20–300 employees, established marketing team, clear B2B buyer personas. For enterprise we work as a specialist vendor; for very early startups (<10 employees, no marketing lead) an inhouse GEO setup is often more sensible — we advise honestly.

Our audit and content workflows strictly separate data collection from LLM evaluation. A first LLM (Data Engineer) receives structured data we collect — no autonomous web search. It transforms the data into a normalised format. A second LLM (Senior Consultant) receives only that structured data and produces recommendations. This avoids hallucinations from autonomous web research and keeps us in control of data sources. Details on /methode.