Wikipedia AEO — Get Your Brand Cited by ChatGPT & Google AI
Why Wikipedia Results Process Pricing
Answer Engine Optimization · Wikipedia Layer

AI Trusts Wikipedia the Most.
Make Sure It Finds Your Brand.

ChatGPT, Perplexity, and Google AI Overviews all pull from Wikipedia more than any other source. We create and maintain your Wikipedia article so AI tools actually mention your brand when people ask about your space.

2000+articles published
Since 201015 years experience
50+languages
100%money-back guarantee
The Problem

AI Is Answering Questions About Your Industry.
Are You Part of the Conversation?

When someone asks ChatGPT "who are the leaders in [your industry]?" -- Wikipedia is the first place it looks. No Wikipedia article means AI skips you entirely.

📖

Wikipedia = AI's Primary Source

Every major AI model was trained on Wikipedia. ChatGPT, Gemini, Llama, Claude -- all of them. A Wikipedia article gives AI a reliable, well-organized source to pull your brand info from.

🔍

Google Knowledge Graph Pulls from Wiki

Google's Knowledge Graph -- the thing that powers AI Overviews and those info panels in search results -- pulls straight from Wikipedia and Wikidata. Your Wikipedia article is basically how Google understands who you are.

⚠️

No Wikipedia = AI Skips You

AI models don't guess. If there's no Wikipedia entry for your brand, they skip you and recommend competitors who do have one. Meanwhile, those competitors keep showing up in every AI answer.

Why Wikipedia × AI

Wikipedia Is Where AI Gets Its Facts

Not press releases. Not your blog. Not social media. AI models trust Wikipedia because it's neutral, well-sourced, and reviewed by thousands of editors worldwide. That's why answer engine optimization starts with Wikipedia — it's the one source every major AI engine keeps coming back to.

#1
source cited by ChatGPT, Gemini & Perplexity for brand facts
6.7M+
articles powering AI training datasets globally
300+
languages - AI answers in every market use your article
3-20%
organic traffic uplift within 3-6 months post-publication

AI Source Trust Hierarchy

How much major LLMs rely on each source for brand & factual queries

Wikipedia
94%
Wikidata
78%
News Archives
61%
Reddit
44%
Brand Website
22%
Real Results

How Brands Show Up in AI Search With Wikipedia

SaaS · Data Privacy

From Invisible in AI to Cited Alongside Top Compliance Tools

A B2B data privacy platform had no Wikipedia page. When anyone asked AI about GDPR compliance software, their three main competitors showed up -- they didn't. We wrote and published a Wikipedia article backed by coverage from TechCrunch, Forbes, and The Register. Within 60 days, it was live and showing up in Google's Knowledge Graph.

ChatGPT · 60 days after publication

User: Best GDPR compliance software for SaaS companies?

[Client] is a notable data privacy platform, described on Wikipedia as specializing in automated data mapping and cross-border compliance workflows. The company serves enterprises in 40+ countries.

+280% AI brand mentions in 90 days Google Knowledge Panel activated
Fintech · Investment Advisory

Wikipedia Got This Advisory Firm Into AI Investment Research Answers

An investment advisory firm had been operating for 15 years with solid press coverage in the FT and Bloomberg -- but no Wikipedia page. Perplexity and ChatGPT left them out of every AI answer about advisory firms. We wrote the article, backed it with 14 independent sources, published it, and kept it protected.

Perplexity · after publication

User: Leading independent investment advisory firms in Europe?

According to Wikipedia, [Firm] is a prominent European advisory house founded in [year], known for infrastructure asset management and cross-border M&A advisory. The firm has managed over €[X]B in transactions.

Named in Perplexity answers for 12 target queries +190% inbound from organic search
E-Commerce · Consumer Brand

Old Negative Press Kept Showing Up in AI Answers. Wikipedia Changed That

A consumer brand had a product recall from three years ago that old press articles kept alive. Every time AI mentioned them, the recall was the first thing it brought up. We created a Wikipedia article with current sourcing -- their reformulation, new certifications, updated product line. Within 45 days, AI answers shifted to the newer, more complete picture.

Google AI Overview · Before → After

Before: "[Brand] was subject to a 2021 recall. Customer reviews are mixed..."

After: "[Brand] is a consumer health company known for its reformulated 2023 product line, which received EU organic certification and a Which? Best Buy designation."

Negative narrative displaced in 45 days AI sentiment shift from negative to positive
Personal Brand · CEO / Founder

Founder Invisible to AI. Now Cited as Industry Authority

A tech founder with 20+ years of experience had no Wikipedia page. When journalists and investors asked AI about her, they got nothing back. We published a Wikipedia biography sourced from Wired, MIT Technology Review, and TechCrunch. Her Google Knowledge Panel went live almost right away, and she started showing up in AI answers about industry experts and speakers.

ChatGPT · after publication

User: Who are the leading voices in enterprise AI ethics?

[Founder] is a technologist and entrepreneur noted on Wikipedia for her work on responsible AI frameworks and co-founding [Company]. She has been cited by MIT Technology Review as a key voice in enterprise AI governance.

Google Knowledge Panel live in 72 hours Featured in ChatGPT expert answers
How It Works

How We Get You From Zero to Cited in 14-60 Days

Notability Check
Source Strategy
Draft & Publish
Protect & Grow

Step 1: Notability Assessment

First, we check whether you meet Wikipedia's notability requirements. We look at your press coverage -- Reuters, Bloomberg, FT, TechCrunch, and similar sources. We also check what ChatGPT, Gemini, and Perplexity currently say about you. You get a full report within 24 hours, no commitment needed.

Step 2: Source Strategy & Media Preparation

If your media coverage isn't strong enough yet, we help build it. We get you placed in qualifying publications so you meet Wikipedia's bar for independent sourcing. If you already qualify, we pick your strongest sources and organize them so your article has the best shot at getting picked up by AI.

Step 3: Article Draft, Review & Publication

Our team writes your article in Wikipedia's neutral style, fully sourced and cited. At the same time, we set up your Wikidata entry so your Google Knowledge Panel can go live. The article goes through our internal review, then gets submitted through Wikipedia's official process. We handle all the back-and-forth with Wikipedia editors until the article is published.

Step 4: Monitoring, Protection & Expansion

Once your article is live, we keep an eye on it -- watching for unwanted edits, vandalism, or deletion attempts. Each month, we check how your brand shows up in ChatGPT, Gemini, Perplexity, and Google AI Overviews. As your business grows, we update the article and expand it into other languages.

Why Us

DIY vs. Freelancer vs. WikiBusines

Here's how the three most common approaches compare.

Do It Yourself Freelance Editor WikiBusines
Notability assessmentYou guessBasic checkFull audit + AI check
Article writing (NPOV)Trial & error✓ Expert team
Source & citation strategyLimited✓ 10+ refs
Wikidata + Knowledge GraphUsually not✓ Included
Deletion defenseRarely✓ Ongoing
AI citation tracking✓ Monthly reports
Multilingual expansion1-2 languages✓ 50+ languages
Money-back guarantee✓ Full refund
Media & source building✓ Available
Try It

What Does AI Say About Your Brand?

This is what happens when someone asks AI about your industry. Are you in the answer?

ChatGPT
Based on available data, the leading companies in this space include CompetitorA, CompetitorB, and CompetitorC. These companies are well-documented on Wikipedia with extensive coverage in reliable sources. Your brand was not found in any structured knowledge base or encyclopedic source.

This is what your potential clients see. Want to know what AI actually says about you?

Pricing

Choose Your Package

One-time projects and ongoing protection plans. Every package starts with a free notability check.

Article Creation

English Wikipedia, fully compliant

from $900 one-time
  • Full notability & source audit
  • NPOV-compliant article draft
  • Source citation framework (10+ refs)
  • Wikidata entity creation
  • Articles for Creation submission
  • Moderation until publication
  • Money-back guarantee if rejected

AEO Growth Package

Wikipedia + Wikidata + AI tracking

Popular
from $1,800 one-time + monitoring
  • Everything in Article Creation
  • Knowledge Graph optimization
  • Wikidata structured data setup
  • AI citation baseline audit (pre/post)
  • 1 additional language version
  • 6-month article monitoring
  • AI mention tracking report (monthly)

Annual Protection

Ongoing monitoring & defense

$1,200 /year
  • 24/7 article monitoring
  • Vandalism & deletion defense
  • NPOV dispute resolution
  • Quarterly article updates
  • AI citation tracking (bi-monthly)
  • Wikipedia community arbitration support
  • Priority Telegram support
Add-Ons & Enterprise

Multilingual Expansion

Reach AI answers in every language

Add-On
from $700 per language
  • Article in any Wikipedia language version
  • Native-language editorial review
  • AI answers in German, French, Spanish, Arabic, Japanese & more
  • Cross-linked to English article
  • Local notability standard compliance

Media & Source Building

Build notability from scratch

Premium
custom pricing
  • Strategic media placement in qualifying publications
  • Minimum 5-10 independent source placements
  • Reuters, Bloomberg, FT, TechCrunch targeting
  • Full Wikipedia notability strategy
  • Article creation included after media
  • End-to-end AEO roadmap

AEO Authority Suite

Wikipedia + Quora + Reddit

Enterprise
custom / quarter
  • Full Wikipedia AEO Growth Package
  • Quora expert answer placement
  • Reddit community authority building
  • Full AI citation monitoring dashboard
  • Monthly AI answer share reports
  • Dedicated strategy manager
  • Quarterly AEO strategy reviews

✅ Compliance & Wikipedia Standards

Every article follows Wikipedia's guidelines -- neutral point of view, reliable sources, and full conflict-of-interest disclosure. We submit through the Articles for Creation process, which keeps everything transparent. If we say you qualify and the article still gets rejected, you get your money back. We've published 2000+ articles since 2010, so we know how this works inside and out.

All prices exclude VAT. Urgent delivery available (+30%). Prices vary by language and subject complexity.

Frequently Asked Questions

How does a Wikipedia article help with AI search?

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Every major AI model was trained on Wikipedia -- it's one of the biggest sources in their training data. Perplexity and Google AI Overviews pull from Wikipedia in real time. A Wikipedia article gives AI something solid and trustworthy to cite about your brand. Without one, AI either skips you or pulls from less reliable sources that might not paint you in the best light.

How long until we appear in AI-generated answers?

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Google AI Overviews and Perplexity typically pick up a new Wikipedia article within 1-2 weeks of publication. For ChatGPT and Gemini, which operate on training data cycles, expect 30-90 days. The Google Knowledge Panel (which is driven by Wikidata) can appear within 24-72 hours of Wikidata setup.

What if our company doesn't qualify for Wikipedia?

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We check your notability before any work starts. If you don't qualify yet, we can help get you covered in the right publications -- Reuters, Bloomberg, FT, TechCrunch, and others. We've done this from scratch for dozens of clients. Once the coverage is there, we write and publish the article.

Is paying for Wikipedia page creation allowed?

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Yes, as long as it's disclosed. Wikipedia requires paid editors to be transparent about client relationships on their user page, which all our editors do. We submit through the Articles for Creation process, which is the proper channel for paid contributions. We've been doing this since 2010 and follow Wikipedia's guidelines to the letter.

What's the money-back guarantee?

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If we assess your brand as eligible for Wikipedia and our article is rejected by Wikipedia editors after all revisions are exhausted, we provide a full refund. We've maintained this guarantee since 2010 because our notability assessment is thorough. We don't take on projects we don't believe will succeed.

Can you fix or update an existing Wikipedia article?

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Yes. We can edit, expand, and update existing articles -- adding new sourced information, improving the structure, resolving disputes, and removing unsourced claims. We also make sure your Wikidata entry matches your article so everything stays consistent.

How many languages can you publish in?

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We work across 300+ Wikipedia language versions and have published in 50+ languages including English, German, French, Spanish, Portuguese, Arabic, Japanese, Russian, Ukrainian, and more. Each language version has its own notability rules, which we know in full. The more languages your article exists in, the more likely AI tools will mention you in those markets.

How do you measure the AEO impact?

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We check what ChatGPT, Gemini, Perplexity, and Google AI Overviews say about you before and after publication -- how you're described, whether you show up, what facts they use, and how you compare to competitors. We also track your Google Knowledge Panel, Wikidata page views, and any organic traffic coming from Wikipedia links.
Free · No Commitment

Find Out What AI Says About Your Brand Right Now

We'll ask ChatGPT, Gemini, and Perplexity about your brand and show you exactly where you stand -- and what a Wikipedia article would change. Free audit, delivered in 24 hours.