Index › IT › Products › Wiki.js · November 2026 Edition
IT documentation · Ranked

Wiki.js

#15Best rank (mid-market)
9/14Models named it
0First choices
6Warnings
November 2026 Edition · all company sizes counted.
Ranked inIT documentation #15 mid-market

Why models recommend it

“Self-hosted solutions (BookStack, Wiki.js) — retain full control over your data”Kimi K2 · Negative question · alternative
“Choose BookStack or Wiki.js when self-hosting is a primary requirement.”Perplexity Sonar · Comparative question · alternative
“Choose an open-source option (BookStack, Wiki.js) if: You need self-hosting”GLM 4.7 FlashX · Comparative question · alternative
“Best for: Teams wanting a modern, highly customizable open-source wiki.”Gemini 3.5 Flash · Budget-constrained question · alternative

What gives them pause

“BookStack, Wiki.js, Docusaurus, and similar tools can provide control, but the organization must handle hosting, patching, backups”Perplexity Sonar · Negative question · warning
“Frequent major rewrites that strip functionality... Ongoing maintenance burden”MiniMax M2.5 · Negative question · warning

Also on the shortlist

The products named in the same answers as Wiki.js, over the 28 answers that named it, and how often each was the first choice instead.

What the models named instead of Wiki.js →

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 26 of the 28 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 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar01012
Grok 4.2001001
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K202002
GLM 4.7 FlashX01001
MiniMax M2.500011
GPT-6 Luna00000
Muse Glimmer 30B01001