WikiBusines · since 2010
Build trust where humans and AI systems look first.
WikiBusines helps companies, founders, agencies and public figures build reliable presence across Wikipedia, Wikidata, Reddit, Quora and other high-authority knowledge platforms.
- 15+ years
- In operation since 2010
- 1,000+
- Wikipedia pages created per year
- 5,000+
- Wikipedia pages edited per year
- 160+
- Wikipedia language editions
How we think about it
Trust Visibility Infrastructure
Compliance is the precondition, not a footnote. Everything we ship sits on a three-layer stack — and we work it in order.
- 01Layer · Foundation
Public-source foundation
Independent media coverage, regulator filings, awards, conference keynotes, analyst reports — the actual evidence Wikipedia editors and AI systems read. Without this layer, nothing built above it survives review. We assess this layer first, every time.
- 02Layer · Anchor
Encyclopedic anchor
Wikipedia (across language editions) + Wikidata + Simple English Wikipedia — the canonical, structured representation of your entity that humans and AI both retrieve from. This is where notability becomes a durable, machine-readable asset.
- 03Layer · Surfaces
Visibility surfaces
Google Knowledge Panel, ChatGPT / Gemini / Perplexity / Google AI Overview answers, Reddit and Quora citations, LinkedIn footprint — the places buyers and AI engines actually surface your brand. These surface results; they don't create the trust. The trust was built in layers 1 and 2.
Core services
One stack for Wikipedia, Wikidata and AI visibility
Each engagement starts with a source assessment. We only quote a publication path when the source base supports it — otherwise we recommend a realistic alternative.
Wikipedia Page Creation
€1,930Neutral, policy-compliant Wikipedia pages for companies, founders, and public figures.
Best for: Companies & startups · Founders & public figures · International brands
Learn more →Wikipedia Editing & Updates
€700Update existing pages with new facts, sources and structure — neutrally.
Best for: Existing Wikipedia pages · Recently funded companies · Public figures with new milestones
Learn more →Annual Support & Monitoring
€420Four-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 →Wikidata & Knowledge Graph
€550Structured 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 →AI Visibility
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 →Reddit AI Visibility
€980Community-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 →Quora AI Visibility
€1,190Expert 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 →Media Coverage
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
From a single page to a managed source network
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
A source-first, risk-managed process
- Step 1
Briefing & source assessment
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.
- Step 2
Drafting
Neutral, policy-compliant draft built on the approved source base. Submitted to you for review and feedback before any publication step.
- Step 3
Wikidata & Knowledge Graph
In parallel we create or refresh your Wikidata entity. This is what feeds Google Knowledge Panels and is read directly by AI answer engines.
- Step 4
Publication & moderation
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.
- Step 5
Monitoring & defence
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
Eight platforms shape what AI says about your brand
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
Wikipedia
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
Wikidata
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
Quora
Q&A platform with expert long-form answers.
Why: Strong organic search ranking and direct citation by AI answer engines.
Structured data
Google Knowledge Panel
The right-rail card on Google Search results.
Why: First impression for ~80% of branded searches. Powered by Wikipedia + Wikidata.
Q&A / AI answers
ChatGPT / Gemini / Perplexity
Generative AI answer engines.
Why: Where buyers increasingly research brands before clicking through to Google.
Media
Tier-1 & Tier-2 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
Simple English Wikipedia
Simpler editorial standards on the same Wikipedia infrastructure.
Why: Easier publication path that still inherits Wikipedia's domain authority.
Who we work with
Four client types, one shared problem
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.
B2B SaaS / AI companies
- Geo
- USA · UK · Germany · Israel
- Buyer
- Founder · CEO · CMO
- Trigger
- Fundraising prep · IPO / M&A · category-leader positioning
Healthcare · Pharma · Industrial
- Geo
- DACH · Netherlands · Belgium
- Buyer
- Head of Comms · Brand Director · Legal Counsel
- Trigger
- EU regulatory disclosure · cross-border M&A · multi-language expansion
Founders & public figures
- Geo
- MENA · UAE · Saudi Arabia · Israel
- Buyer
- Founder · Owner · Personal Reputation Manager
- Trigger
- Media event · negative-incident SERP cleanup · English-market expansion
PR / SEO / reputation agencies
- Geo
- Worldwide
- Buyer
- Agency Owner · Account Director · Strategy Director
- Trigger
- Client demand for Wiki work · expanding into reputation / AI visibility
Risk-first editorial approach
We assess notability before we publish
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 |
Frequently asked
A few of the questions that come up in every first call
How do you decide whether a company qualifies for Wikipedia?
Which subjects do you not take on?
What does a Wikipedia page cost?
Do you discount multi-language portfolios?
Do you guarantee that a page will be published?
What if a page is deleted after publication?
Why does Wikipedia matter for ChatGPT and AI search?
How is AI visibility different from SEO?
Ready to start? Let's run a source assessment first.
Share what you have — existing media, target languages, page URLs if any — and we'll come back with a realistic plan and price.