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

Wiki.js

–Too few to rank
8/14Models named it
1First choices
6Warnings
November 2026 Edition · all company sizes counted.
Ranked inKnowledge base and self-service #25 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. Wiki.js has 6.

Why models recommend it

“Alternatives: Modern, actively maintained forks like BookStack or Wiki.js with built-in security audits”Grok 4.20 · Negative question · alternative
“Best For: Tech-heavy teams looking for high performance, modern design, and advanced features.”Gemini 3.5 Flash · Budget-constrained question · alternative
“Technical teams | Wiki.js or Docmost | Developer-friendly, customizable”Kimi K2 · Budget-constrained question · alternative
“If your team is developer‑heavy and wants Git‑backed docs → Wiki.js”GLM 4.7 FlashX · Budget-constrained question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Wiki.js, 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 Wiki.js 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 Wiki.js and are not a share of its labels.

By model

How each model answered on Wiki.js 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 mini01001
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.2001001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001