Index › IT › Products › Read the Docs · November 2026 Edition
IT documentation · Named, not ranked

Read the Docs

–Too few to rank
2/14Models named it
0First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inIT documentation #47 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. Read the Docs has 1.

Why models recommend it

“For Developer/Engineering Docs: Mintlify, Docusaurus, Read the Docs”Qwen 3.7 Flash · Negative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Read the Docs, over the 2 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 Read the Docs 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 2 of the 2 answers that named Read the Docs and are not a share of its labels.

Domains cited

softwareadvice.com2
about.readthedocs.com1
aikeep.io1
aimultiple.com1
arxiv.org1
assets.applytosupply.digitalmarketplace.service.gov.uk1
atlassian.com1
capterra.com1
clickhelp.com1
crm.org1

No domain is on file for Read the Docs, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Read the Docs 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 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000