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Guide from the “Wikipedia 2026” series · updated 11.2026 · 13 min

Wikipedia’s AI ban: can you use ChatGPT to write your page in 2026?

Short answer: no, not on English Wikipedia. On 20 March 2026 a Request for Comment closed 44–2: generating or rewriting article text with large language models is prohibited. Two narrow exceptions remain, copyediting your own writing and machine translation from another language edition, both with human review.

// English Wikipedia rules as of 11.11.2026 · checked against the policy pages · other language editions have their own rules

en.wikipedia.org/wiki/Draft:Company_N
Draft: Company N

Company N is not just an innovative manufacturer but a true industry leader that stands as a testament to a pivotal moment in the evolution of sensing.[1] Despite the challenges, the company continues to inspire. I hope this helps!

1. ↑ Smith J. “Company N transforms sensing”. Industry Weekly, 2023. doi:10.1234/iw.0000
significance inflation“testament” cliché“Despite the challenges” formulaaddressing the usernon-existent source
G15speedy deletion
Draft: Company N

Company N is a manufacturer of industrial sensors, founded in 2014 in Munich.[1] In 2023 it opened a plant in Manchester.[2] As of 2025 it employs 310 people.[1]

1. ↑ Business magazine, 14.05.2025 · 2. ↑ Regional newspaper, 03.02.2023
neutral tonesourced factsourced factsource openssource opens
AfCup for review
auto
44–2RfC vote, 20.03.2026
2exceptions: copyediting and translation
3signs for G15 speedy deletion
5+language editions with their own rules

The news covered the vote and moved on. Nobody wrote the operating manual: what exactly a founder or PR manager should do with a half-finished ChatGPT draft. This is that manual: what the ban says, how reviewers apply it, how to recover a rejected draft, and how to spot an agency that quietly feeds your brief into a chatbot.

One honest remark up front: this ban is good news for clients. It kills the cheapest segment of the market, the $300 “page in 48 hours” offer that was always AI slop, and it confirms the one approach that has always worked in the long run: written by a human, sources first, disclosed.

01What changed

Wikipedia’s AI-text ban: what changed on 20 March 2026

The decision went through Wikipedia’s standard process: a Request for Comment on the guideline Wikipedia:Writing articles with large language models. It closed on 20 March 2026 with 44 votes in favour and 2 against. The wording is unambiguous:

“The use of LLMs to generate or rewrite article content is prohibited”Wikipedia:Writing articles with large language models · RfC, 20.03.2026
Until MarchThe guideline only discouraged creating articles from scratch with LLMs, leaving room for a “carefully edited AI draft”.
From 20.03.2026Generation is prohibited. Rewriting is prohibited. A model’s words do not belong in the encyclopedia, whether they arrive in a single paste or after ten edits.
Exception 1 · allowed with human review

Copyediting your own writing

Editors “are permitted to use LLMs to suggest basic copyedits to their own writing, and to incorporate some of them after human review, provided the LLM does not introduce content of its own”. The text must come from you; the model may suggest; a human reviews and accepts; nothing new is added.

Exception 2 · allowed with human review

Machine translation from another edition

If an article already exists, for example on German or Ukrainian Wikipedia, machine translation can help bring it into English, with human review. The content was already written and sourced by humans; the machine only carries it between languages.

The guideline itself explains why the exceptions are so narrow: models “can go beyond what you ask of them and change the meaning of the text such that it is not supported by the sources cited”. Everything else, drafting, expanding, “improving”, paraphrasing, turning sources into article text, is outside the rules.

Sources: RfC (en.wikipedia.org) · TechCrunch, 26.03.2026

02Timeline

How Wikipedia’s AI ban took shape from 2023

The March vote was not a panic reaction. It capped an escalation that began almost as soon as public chatbots appeared.

Volunteers

WikiProject AI Cleanup

When machine-written text began appearing in drafts and articles, editors organised WikiProject AI Cleanup to find, tag and fix it. The project catalogues characteristic chatbot tells, maintains the {{AI-generated}} template and the “Signs of AI writing” guide that reviewers use every day.

What this means for you: your draft will be read by someone who has seen hundreds of AI submissions. Project page ↗

Speedy deletion

Criterion G15: pages clearly generated by an LLM

English Wikipedia adopted the G15 speedy-deletion criterion. An administrator can delete a page on the spot, without the usual seven-day discussion, if at least one of three signs is present: addressing the user (“Here is your Wikipedia article…”, unfilled templates), non-existent or nonsensical references, or technical markers of the model.

Important: an “AI style” alone is not enough for G15; these signs are required. Criteria for speedy deletion ↗

First guideline

Do not create articles from scratch with LLMs

The community adopted a minimal guideline: new articles should not be created from scratch with large language models. Rewriting existing text did not yet fall under it; the March decision closed that gap.

What this means for you: an “AI draft edited by a human” was already in doubt then.

The ban

RfC: 44 for, 2 against

The ban was extended to rewriting: generating or rewriting article text with an LLM is prohibited, with two exceptions remaining. The discussion was closed on the basis of clear consensus.

What this means for you: AI text in an article is a guideline violation, not a matter of taste. RfC outcome ↗

Technical filters

AI-citation filter and paste check

Wikipedia added an edit filter for AI-generated citations and a check for text pasted from an LLM, first on English Wikipedia and later on other editions.

What this means for you: text pasted from a chatbot is now flagged before a reviewer even sees it. Overview on Wikipedia ↗

auto

03Allowed and prohibited

AI on Wikipedia in 2026: what is allowed and what is prohibited

Use caseVerdictBasis in the rulesWhat reviewers check
Writing an article with ChatGPTProhibitedRfC, March 2026; G15 for unreviewed outputAI text patterns; spot checks of citations; G15 signs
Rewriting or expanding existing text with an LLMProhibitedThe same RfC: generation or rewriting is prohibitedChanges that diverge from the cited sources
Copyediting text you wrote yourselfAllowed with human reviewCopyediting exception in the March 2026 decisionThat no new content entered the text
Machine translation of an article from another Wikipedia editionAllowed with human reviewTranslation exception in the same decisionFidelity of the translation; sources carried over unchanged
Sources suggested by AIHigh riskVerifiability rule; G15 sign “non-existent references”Whether every link exists and supports the claim
AI-generated imagesAvoid for companies and biographiesCommunity stance against AI images of real people, places and eventsWhether the image distorts a real subject

Two rows deserve a second look. “Sources suggested by AI” is not directly prohibited: no rule forbids asking a model where coverage might exist. But the moment an unverified, model-invented reference lands in a draft, you are in G15 territory. And the copyediting exception is narrower than most people want it to be: it covers your text, not an AI draft you pass off as your own.

04How it is detected

How Wikipedia reviewers detect AI text

Wikipedia has no “AI detector” that anyone takes on faith. There is a community-maintained guide, Signs of AI writing, which by its own description lists writing and formatting conventions typical of AI chatbots such as ChatGPT, with real examples from articles and drafts. The signs that most often give corporate drafts away:

A paragraph from a typical AI draft

Founded in 2014, Company N stands as a testament to a pivotal moment in the evolution of industrial sensing — not just as a manufacturer, but as a true engine of innovation. **Key Achievements:** Global Expansion — Sustainable Growth — Leadership. Despite the challenges, the company continues to inspire the industry.[1] Certainly — here is the revised version of your article!

1. ↑ “Sensing the future”. Global Tech Review, 2023. doi:10.0000/gtr.2023.0

What many operators miss: reviewers do not need to prove that you used AI. At Articles for Creation (AfC), the review queue where company and biography drafts are assessed, the burden is on the submission. A reviewer who sees a few stylistic flags and one reference that does not check out declines the draft, however the text was produced. For sanctions against an editor, on the other hand, an “AI style” alone is not enough; evidence is required.

05Hallucinated citations

Hallucinated citations: the fastest way to lose a draft

A language model asked to “write a Wikipedia article about X with references” will produce citations that look flawless: a real newspaper, a plausible journalist, a convincing headline, a date, and an article that was never published. Non-existent references are one of the three G15 signs. One fabricated source costs you the reviewer’s trust in every other reference, and usually the draft itself. If AI touched your research at any stage, check every reference:

  1. 1
    Open every link. Do not skim; open. A link you cannot open is a source you do not have.
  2. 2
    Check that the source says what the draft claims. Second-order hallucination: the article exists, but it never makes the claim attached to it.
  3. 3
    Check every DOI and ISBN. Invalid identifiers are a giveaway of AI, and checking takes seconds.
  4. 4
    Independently find the author, publication and date. Search for the headline on the publisher’s own site, not just in a search engine.
  5. 5
    Delete anything you cannot personally verify. A slimmer verified list beats a bloated one.

Draft source list · check

Business magazine, “Company N opens a plant”, 14.05.2025pending
Smith J. “Company N transforms sensing”, Industry Weekly, 2023pending
Regional newspaper, interview with the founder, 03.02.2023pending
doi:10.0000/gtr.2023.0pending

The baseline shows the risk: in a study of 1,009 AfC submissions, 68% were declined, and the most common reasons were sources and notability.

06Other language editions

AI rules in other Wikipedia language editions: not only English

The March decision is a rule of English Wikipedia. Each language edition adopts its own, and over the past year several large editions have introduced their own restrictions on LLM text.

Document
Guideline “Writing articles with large language models”
What is prohibited
Generation and rewriting of article text; exceptions: copyediting and translation
Speedy deletion
Criterion G15 (2025)
Document
Guideline “Künstliche Intelligenz”, 15.02.2026
What is prohibited
Generation and editing of the main namespace with LLMs; translation only with full review
Speedy deletion
Under the edition’s general rules
Document
Recommendation “Intelligence artificielle générative”, 14.09.2026
What is prohibited
Writing articles with generative AI, with exceptions
Speedy deletion
Criterion A13
Document
Rule of 29.01.2026
What is prohibited
Creating and expanding articles with LLMs, with no exceptions for copyediting or translation
Speedy deletion
Criterion G12
Document
Guideline of 05.07.2025
What is prohibited
Generating original text; LLM use must be disclosed in the edit summary
Speedy deletion
Criterion C3 (03.08.2025)
Document
Guideline “Написання статей з використанням LLM”
What is prohibited
Generation and rewriting, except copyediting and translation
Speedy deletion
Criterion for texts with clear signs of LLM use (30.07.2026)

Source: Meta-Wiki table “Artificial intelligence / Policies by project”, as of 11.11.2026. auto

The practical takeaway is the same: English Wikipedia is the strictest on corporate and biographical articles and sets the de facto standard for commercial work. And the translation exception turns a well-sourced page in your own language into an asset: it can be carried into another edition with human review.

07If rejected

Wikipedia draft rejected over AI: three steps to recovery

Suppose the bad news has already arrived: the draft was declined or deleted under G15. Recovery starts with an honest diagnosis, in this order.

Step 1

Read the reason for rejection, not just the verdict

A rejection for AI text or sources is a process failure, and it can be fixed. A rejection for lack of notability is a substantive one, and rewriting will not fix it: the same study found that 57% of rejections cited notability. If notability is the problem, read the 2026 Risk Report and order a notability audit.

Step 2

Do not “humanize” an AI draft

“AI humanizers” change the words and leave the skeleton: the same structure, the same significance inflation, the same unverified references. Reviewers recognise the skeleton in the second version, and a cosmetic resubmission burns trust you will need later.

Step 3

Rebuild from the sources, not from the draft

Set the AI text aside; collect and verify a real list of sources; build an outline only from what they support; write the new text by hand. The six rejection patterns are in the article why Wikipedia drafts get rejected. If a live page needs repair rather than re-creation, that is editing, with different rules.

A rejection can be fixed. A pattern of low-effort resubmissions is far less fixable. Recovering a deleted Wikipedia page →

08Vetting an agency

How to check whether an agency writes Wikipedia pages with AI: five questions

The March 2026 decision split the market into providers whose process was already human and source-first, and providers whose economics depend on a chatbot. The second group did not announce any change. Ask, and listen for specifics.

  1. 1“Who writes the draft, and can I see the writing history?”notes, outlines, versions“the system generates”
  2. 2“How do you verify citations?”we open every onehesitation
  3. 3“What changed for you after the March 2026 RfC?”a precise answerhadn’t heard
  4. 4“Do you disclose paid editing?”yes, in the agency’s name“it isn’t needed”
  5. 5“Will you show the source list before writing starts?”by defaultonly the final result
Answer to question 1“Our in-house AI pipeline generates the text in 24 hours, an editor polishes it.”
Price and timeline$300, page in 48 hours
Red flags: the described process is prohibited, and the timeline and price are below the cost of human work.
Answer to question 1“Here are the research notes, the source-based outline and the draft’s version history.”
Disclosure“We disclose payment on the user page and the talk page, in the agency’s name.”
Human process: sources first, disclosure, work artifacts.

The red flags predictably cluster together: delivery in 24–48 hours, prices around $300, an “in-house AI pipeline” as the selling point, reluctance to show anything before the finished draft. Human research and writing have a cost floor; what is sold below it is now literally a speedy-deletion criterion. More in the articles how to spot a fake agency and on disclosing paid editing.

09Process

A Wikipedia page without AI text: the 2026 workflow

What passes review in 2026 is the process that passed it in every previous year, now with its boundaries written into the rules.

  1. 1Notability firstIndependent, reliable, in-depth coverage exists. If not, the honest move is to wait.
  2. 2A human-verified source fileEvery source opened, read and assessed. AI may help with the search.
  3. 3An outline that follows the sourcesThe article contains what the coverage supports, nothing more.
  4. 4Human writingNeutral register, reference by reference. The step the rule reserves for people.
  5. 5Citation auditThe five-step reference check before submission.
  6. 6Conflict-of-interest disclosurePaid work declared under the Terms of Use; the draft goes through AfC.
  7. 7A human answers reviewersAfC questions are answered by a person who has read the sources.
AI is legitimate as a private research assistant: it finds coverage that you then verify by hand.
And as a grammar pass over text you wrote, with every suggestion reviewed, under the copyediting exception.

The text of the entry stays human. That is how our Wikipedia page creation service works: a human writes, we disclose payment in WikiBusines’ name, sources come first.

10FAQ

Wikipedia’s AI ban: frequently asked questions

Will Wikipedia find out that I used AI?

Often, yes. And the more honest answer: it does not matter. Detection is probabilistic; enforcement is not. Reviewers act on artifacts: stylistic patterns from the Signs of AI writing guide, references that fail verification, leftover chatbot phrases. A G15 deletion does not require proving which tool you used.

Do you disclose that you write Wikipedia pages for payment?

Yes. Disclosure of paid editing is mandatory under the Wikimedia Terms of Use. We make it in WikiBusines’ name, on the user page and on the article’s talk page.

Can AI help with research for a Wikipedia article?

Yes, under one rule: nothing a model says is true until a human checks it against the primary source. Brainstorming possible coverage, summarising an article that you then read yourself, organising notes: fine. Citing AI-suggested references without opening them is how hallucinated citations end up in drafts.

Does the AI ban apply to other language editions of Wikipedia?

The March decision is a rule of English Wikipedia. Each language edition adopts its own rules, and the German, French, Spanish, Italian and other editions already have their own restrictions on LLM text. The machine-translation exception works between editions: a human-written article can be translated into another edition with human review.

The AI ban did not make Wikipedia harder: it made the honest route official

If your page is important enough to exist, it is important enough to be built the way it holds up: written by a human, disclosed, sources first.