IT documentation · November 2026 Edition
Hudu vs Freshservice
Six of fourteen models named Hudu first on the direct prompt; zero named Freshservice. Hudu was named by fourteen of the fourteen models and Freshservice by twelve and Hudu carries 53 labels and Freshservice 18, so the shares are not directly comparable.
Named in one category this edition.
Named in ten categories this edition.
First-choice share29%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 15; printed, not drawn.
Labels5318A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Hudu reading right to left. Rank and label count are printed, not drawn.Confluence was named alongside these two in fourteen of the fourteen direct answers. Hudu vs Confluence · Hudu vs BookStack · Hudu vs IT Glue
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the IT documentation page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HuduFirst choices, of fourteen modelsFreshservice
Direct601 against Hudu
Paraphrase85
Comparative20
Budget-constrained001 against Hudu
Scale-constrained20
Negative402 against Hudu
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Hudu and Freshservice stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | |
Hudu Freshservice first choice named as an alternative argued againstblank: not namedEach cell is one answer, Hudu on the left and Freshservice on the right.The direct prompt
The plain question, one answer per model, grouped by where Hudu and Freshservice stood in it.
Hudu first, Freshservice an alternative
6 of 14 modelsFreshservice was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Confluence, Hudu alternatives: Document360, Tettra
Gemini 3.5 FlashHudu alternatives: Confluence, Document360, GitBook, IT Glue, Scribe, Tango
Perplexity SonarHudu alternatives: Confluence, Document360, Freshservice, SharePoint
DeepSeek V4 FlashConfluence, Hudu alternatives: Document360, Notion
Qwen 3.7 FlashHudu alternatives: Confluence, Guidde, Scribe
GPT-6 LunaHudu alternatives: Confluence, IT Glue, SharePoint
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.20Confluence alternatives: GitBook, Hudu, IT Glue, Notion
Mistral SmallConfluence, Document360 alternatives: Freshservice, GitBook, IT Glue, Mintlify
Llama 4 MaverickConfluence alternatives: Document360, Freshservice, GitBook
MiniMax M2.5Document360 alternatives: Confluence, Freshservice, GitBook, Hudu
Muse Glimmer 30BConfluence alternatives: Document360, Freshservice, Notion
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniConfluence alternatives: Document360, Guru, IT Glue
Kimi K2Confluence alternatives: Document360, Notion
GLM 4.7 FlashXDocument360 alternatives: Confluence, GitBook
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Hudu leads by twenty-seven points.
Hudu27%#1 of 14Freshservice0%#– of 14Mid-marketThe figures above
Enterprise
What the models said about Hudu
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Its external-sharing links reportedly lack automatic expiration and remain valid until manually revoked.” Perplexity Sonar · negative prompt · hard negative
“Also MSP-focused; good value for MSPs but unnecessary complexity for internal teams” Kimi K2 · direct prompt · hard negative
“Avoid IT Glue or Hudu unless you are an MSP” Perplexity Sonar · budget prompt · hard negative
“Go with Hudu if your internal IT team already has a ticketing system and specifically needs a secure IT knowledge base, asset map, and vault.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Highly recommended for mid-market internal IT. Fast, modern, offers both SaaS and self-hosted options, robust API, and strong asset relation modeling” Gemini 3.5 Flash · scale prompt · first choice
“Hudu (highly popular for its flexibility, self-hosting or cloud options, transparent pricing, and good data export options)” Gemini 3.5 Flash · negative prompt · first choice
What the models said about Freshservice
No label in this category carried a quote.
Also compared
Hudu vs ConfluenceHudu vs BookStackHudu vs IT GlueHudu vs Document360Hudu vs NotionHudu vs ONES WikiConfluence vs FreshserviceBookStack vs FreshserviceFreshservice vs IT GlueFreshservice vs Document360Freshservice vs NotionFreshservice vs ONES WikiAll twenty-eight head-to-head pages and the full IT documentation standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.