Index › IT › Products › DokuWiki · November 2026 Edition
IT documentation · Named, not ranked

DokuWiki

–Too few to rank
9/14Models named it
1First choices
5Warnings
November 2026 Edition · all company sizes counted.
Ranked inIT documentation #82 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. DokuWiki has 7.

Why models recommend it

“Wiki.js and DokuWiki are also popular low-cost choices.”Muse Glimmer 30B · Budget-constrained question · alternative

What gives them pause

“Generic Wikis (Confluence, Notion, MediaWiki, Dokuwiki) - Why to avoid”GLM 4.7 FlashX · Negative question · warning
“Dead-end / Legacy Tools You Should Avoid - MediaWiki / DokuWiki”DeepSeek V4 Flash · Negative question · warning
“self-hosted wikis carry hidden operational costs”Gemini 3.5 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as DokuWiki, over the 16 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named DokuWiki came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 15 of the 16 answers that named DokuWiki and are not a share of its labels.

By model

How each model answered on DokuWiki across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00112
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00112
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001