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Services
Each service starts with a source assessment — we only quote a publication path when the source base supports it.
How the catalogue is organised
Compliance is the precondition, not a footnote. Every service below sits on one of three layers — and we work them in order.
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.
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.
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.
Catalogue
Neutral, policy-compliant Wikipedia pages for companies, founders, and public figures.
Best for: Companies & startups · Founders & public figures · International brands
Learn more →Before you build: an evidence-based verdict on whether you qualify for Wikipedia — and the roadmap if you don't yet.
Best for: Companies unsure if they qualify · Founders before a first page attempt · Anyone burned by a deleted draft
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 →Recover a deleted page — or pick a realistic alternative.
Quoted per case
Best for: Pages with prior deletion discussion · Rejected drafts · Repeat-attempt situations
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 →Contextual references inside Wikipedia articles — the highest-trust links on the open web.
Best for: SEO programs building domain authority · Brands chasing AI citation density · Agencies extending client offerings
Learn more →Same Wikipedia infrastructure and domain, lighter editorial enforcement — a realistic route when the main edition won't pass.
Best for: Brands that lost or won't pass main-EnWiki notability review · Faster Knowledge-Graph footprint · Multi-edition strategies
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 →Open-source intelligence on Wikipedia activity around your brand.
Engagement-based pricing
Best for: Pages with suspicious edit history · Pre-publication intel for high-profile subjects · Legal & comms teams preparing disputes
Learn more →Executive personal-brand programs that humans and AI systems both read.
Best for: Founders building personal brand · Executives in B2B sales cycles · Fundraising CEOs · Public figures shaping AI-readable narrative
Learn more →White-label and referral models for PR, SEO and reputation agencies.
Tiered partner discounts
Best for: PR & reputation agencies · SEO & digital agencies · Legal firms supporting executives
Learn more →Real-time monitoring of Wikipedia edits with email and Telegram alerts within minutes.
Best for: Brands with active Wikipedia pages · PR & comms teams managing reputation risk · Public figures protecting their personal page · Agencies tracking many client pages from one dashboard
Learn more →A policy-compliant Wikipedia + Wikidata foundation built specifically for AI answer engines.
Best for: Brands invisible or misdescribed in AI answers · Companies preparing for AI-first search · Marketing teams that need a measurable AEO program
Learn more →Both community layers AI engines quote — one combined monthly retainer at a documented discount.
Best for: Brands building AI-retrievable community proof · Teams that want one strategy across both platforms · Buyers comparing the standalone Reddit and Quora retainers
Learn more →An encyclopedic page with professional editorial review — no mandatory media-coverage requirement.
Best for: Early-stage founders and niche B2B not yet passing WP:N · Regional brands building an encyclopedic record · Upgrade-path planning toward Wikipedia
Learn more →Your brand published across 7 high-authority wiki platforms — the sources Google ranks and AI assistants actually cite.
Best for: Founders, executives and public figures building a verifiable digital footprint · Brands that need to control what Google and AI assistants say about them · Anyone who wants each platform available separately, or the full pack at −20%
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.
Beyond the core grid
Focused pages that sit outside the main catalogue — specialist platforms, free tools and background on how we work.
Make AI search understand your brand — answer-engine optimization built on Wikipedia and Wikidata.
Learn more →Notability assessment, sourcing and a realistic publication path for company pages.
Learn more →Personal pages for founders, executives and experts — built on independent coverage.
Learn more →Both platforms under one retainer — the discussion threads AI engines cite most.
Learn more →An editor-reviewed wiki alternative when Wikipedia notability is not there yet.
Learn more →Free checkers, templates and guides if you want to assess and act on your own first.
Learn more →The full capability map — recovery, defense, translations and niche requests in one place.
Learn more →Who we work with and the recurring patterns behind pages that survive review.
Learn more →Community and research projects we run beyond client work.
Learn more →Share what you have — existing media, target languages, page URLs if any — and we'll come back with a realistic plan and price.