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WikiBusines · seit 2010
WikiBusines hilft Unternehmen, Gründern, Agenturen und Personen des öffentlichen Lebens, zuverlässige Präsenz auf Wikipedia, Wikidata, Reddit, Quora und anderen hochrangigen Wissensplattformen aufzubauen.
Unser Ansatz
Regelkonformität ist die Voraussetzung, kein Fußnotenthema. Alles, was wir liefern, basiert auf einem Drei-Schichten-Stack — und wir arbeiten ihn der Reihe nach ab.
Unabhängige Medienberichterstattung, Behördeneinträge, Auszeichnungen, Keynotes auf Konferenzen, Analystenberichte — die tatsächlichen Belege, die Wikipedia-Redakteure und KI-Systeme lesen. Ohne diese Schicht übersteht nichts, was darüber aufgebaut wird, eine Prüfung. Wir bewerten diese Schicht als Erstes — immer.
Wikipedia (in mehreren Sprachversionen) + Wikidata + Simple English Wikipedia — die kanonische, strukturierte Darstellung Ihrer Entität, auf die Menschen und KI gleichermaßen zugreifen. Hier wird Relevanz zu einem dauerhaften, maschinenlesbaren Asset.
Google Knowledge Panel, ChatGPT / Gemini / Perplexity / Google AI Overviews-Antworten, Reddit- und Quora-Zitate, LinkedIn-Präsenz — die Orte, an denen Käufer und KI-Systeme Ihre Marke tatsächlich finden. Diese Flächen zeigen Ergebnisse; sie erzeugen kein Vertrauen. Das Vertrauen wurde in Schicht 1 und 2 aufgebaut.
Kernleistungen
Jedes Projekt beginnt mit einer Quellenanalyse. Wir nennen einen Publikationsweg erst dann, wenn die Quellenlage ihn trägt — andernfalls empfehlen wir eine realistische Alternative.
Neutral, policy-compliant Wikipedia pages for companies, founders, and public figures.
Best for: Companies & startups · Founders & public figures · International brands
Learn more →Update existing pages with new facts, sources and structure — neutrally.
Best for: Existing Wikipedia pages · Recently funded companies · Public figures with new milestones
Learn more →Four-tier support plans from €420/year to €3,500/year enterprise governance.
Best for: Published pages with ongoing visibility · Founders & enterprises · Multi-language portfolios
Learn more →Structured entity data that search engines and AI systems can actually read.
Best for: Brands missing from AI answers · Multi-language entity hygiene · Enterprises preparing for AI search
Learn more →Make sure the sources AI systems trust actually mention your brand.
Audit from €490
Best for: Brands invisible in AI answers · Companies preparing for AI-driven discovery · Founders refreshing entity presence
Learn more →Community-safe Reddit authority — readable by humans and AI systems.
Best for: B2B SaaS & consumer brands · AI-search visibility programs · Companies with niche communities
Learn more →Expert answers to the questions your buyers and AI systems already read.
Best for: High-consideration purchases · Founders building authority · Categories where buyers Google their questions
Learn more →Trusted media placements that survive Wikipedia's source review.
Quoted per program
Best for: Companies missing notability-grade coverage · Pre-Wikipedia-creation campaigns · Brand authority programs
Learn more →Flagship · Packaged
The AI Reputation Stack bundles Wikipedia, Wikidata, multilingual entities, source density and governance into one managed reputation layer — Foundation (€2,490), Authority (€6,900) and Enterprise Reputation OS.
How it works
We start with a brief and a media audit. Independent reliable sources are identified; press releases and sponsored content are excluded. If notability cannot be supported, we recommend an alternative route.
Neutral, policy-compliant draft built on the approved source base. Submitted to you for review and feedback before any publication step.
In parallel we create or refresh your Wikidata entity. This is what feeds Google Knowledge Panels and is read directly by AI answer engines.
Once you approve, the article is published gradually by experienced editors and reviewed by the Wikipedia community. We respond to any tags, talk-page questions, or speedy-deletion proposals.
90 days of post-publication monitoring included. If the page is nominated for deletion, we lead the discussion and defend it based on its notability and sources.
The AI visibility ecosystem
AI answer engines read from the same set of high-authority sources humans trust. Coverage on each platform compounds — gaps on any one of them are noticeable.
Encyclopedia
160+ language editions, the most-cited reference on the open web.
Why: Heavily weighted by every major LLM. The single biggest source of brand context for AI answers.
Structured data
Open knowledge graph — entities, relationships and identifiers in machine-readable form.
Why: Feeds Google's Knowledge Graph and is read directly by LLM retrieval pipelines.
Community
Threaded discussions across thousands of communities.
Why: AI systems cite Reddit threads as 'real user opinion'. Often shown in Google Search results.
Q&A / AI answers
Q&A platform with expert long-form answers.
Why: Strong organic search ranking and direct citation by AI answer engines.
Structured data
The right-rail card on Google Search results.
Why: First impression for ~80% of branded searches. Powered by Wikipedia + Wikidata.
Q&A / AI answers
Generative AI answer engines.
Why: Where buyers increasingly research brands before clicking through to Google.
Media
Independent media that meets Wikipedia's reliable-source bar.
Why: The notability backbone. Without it, no Wikipedia page is safe from deletion.
Alt-wiki
Simpler editorial standards on the same Wikipedia infrastructure.
Why: Easier publication path that still inherits Wikipedia's domain authority.
Who we work with
Whether your buyer is a Series-B board, a DACH compliance team, or a founder preparing for an English-market launch — the underlying need is the same: reliable, source-verified presence on the platforms search engines and AI systems actually trust.
Risk-first editorial approach
A page that gets deleted on day 30 is worse than no page at all. We run this matrix before any quote — and we'll tell you when an alternative route is the realistic call.
| Factor | Green light | Yellow flag | Red flag |
|---|---|---|---|
| Independent media coverage | Tier-1 / Tier-2 outlets with editorial review | Mostly trade press and regional outlets | Press releases, sponsored content, affiliate blogs only |
| Subject's public footprint | Funding rounds, awards, regulator filings, public events | Some milestones, light third-party validation | Stealth-mode startup, no third-party context |
| Wikipedia history | No prior drafts; clean slate | Older draft / re-draft, no deletion debate | Prior deletion discussion, salted title, repeat attempts |
| Conflict of interest signals | Independent contributor sourcing, COI disclosed | Some legacy edits from company-related accounts | Heavy in-house editing, brand-name accounts, undisclosed COI |
Häufig gefragt
Share what you have — existing media, target languages, page URLs if any — and we'll come back with a realistic plan and price.