Index › GTM › Products › DokuWiki · November 2026 Edition
Knowledge base and self-service · Named, not ranked

DokuWiki

–Too few to rank
8/14Models named it
0First choices
10Warnings
November 2026 Edition · all company sizes counted.
Ranked inKnowledge base and self-service #91 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 5.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Older versions of MediaWiki, DokuWiki, or TiddlyWiki (without active maintenance): Why cautious/avoid”Grok 4.20 · Negative question · warning
“BookStack, DokuWiki, and similar options may offer control, but your team becomes responsible for updates, backups, security, and recovery.”Perplexity Sonar · Negative question · warning

Also on the shortlist

The products named in the same answers as DokuWiki, over the 14 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 11 of the 14 answers that named DokuWiki and are not a share of its labels.

Domains cited

productlift.dev7
ones.com6
affine.pro5
herothemes.com4
blog.screensteps.com3
capterra.com3
eesel.ai3
helpdocs.io3
kminsider.com3
knowledge-base.software3

No domain is on file for DokuWiki, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

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 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00011
Grok 4.2000011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101