GTM AI Index

Index › Vendors › MediaWiki · September 2026 Edition

1 category · Named, not ranked

MediaWiki

8Judge labels

0First choices

7Negative labels

6 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. MediaWiki was named 2 times in Knowledge base, where Notion led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business74 of 82

under the label threshold

Mid-market79 of 96

under the label threshold

Enterprise93 of 94

under the label threshold

In knowledge base · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named MediaWiki for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Knowledge base and self-service	Customer	0%	79 of 96	50%	2	under 10 labels · led by Notion at 18%

Movement

This is the first edition on this tier, so no move can be computed for MediaWiki yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated MediaWiki across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	1	1
Kimi K2	0	0	0
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative1 labelNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative6 labelsNone

First choiceAlternativeMentionNegative8 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Avoid: MediaWiki (Wikipedia's engine)” Qwen 3.7 Flash · Knowledge base · negative prompt · hard negative

Named alongside

The products named in the same answers as MediaWiki, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MediaWiki was named but was not.

ProductSame answerTook the first choice insteadHead to head

Notion8 of 83Not in the top three

Confluence6 of 81Not in the top three

SharePoint5 of 80Not in the top three

Document3604 of 80Not in the top three

DokuWiki4 of 80Not in the top three

Slite4 of 80Not in the top three

XWiki4 of 80Not in the top three

BookStack3 of 81Not in the top three

Outline3 of 81Not in the top three

Slab3 of 81Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named MediaWiki. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 1 of the 8 answers that named MediaWiki and are not a share of its labels.

Domains cited

atlan.com1

atlasworkspace.ai1

bettermode.com1

capacity.com1

dev.to1

exoplatform.com1

ferndesk.com1

happysupport.ai1

helpjuice.com1

kminsider.com1

Ten of the ten domain citations in answers naming MediaWiki came from somebody else's page.

Pages cited

atlan.com/know/llm-knowledge-base-tools1

atlasworkspace.ai/blog/best-knowledge-management-software1

bettermode.com/blog/knowledge-base-software1

capacity.com/blog/enterprise-knowledge-management1

dev.to/chen115y/dont-build-that-rag-knowledge-base-seven-reasons-it-will-fail-and-what-to-1

exoplatform.com/blog/best-knowledge-management-software1

ferndesk.com/blog/open-source-knowledge-base-software1

happysupport.ai/en/blog/enterprise-knowledge-management-tools1

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when MediaWiki's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as MediaWiki, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at mediawiki.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.