Knowledge base and self-service · September 2026 Edition
Zendesk vs Helpjuice
One of twelve models named Zendesk first on the direct prompt; one named Helpjuice. Zendesk was named by twelve of the twelve models and Helpjuice by eight and Zendesk carries 24 labels and Helpjuice 21, so the shares are not directly comparable.
San Francisco, United States, founded 2007. Named in eleven categories this edition.
Named in two categories this edition.
First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 16; printed, not drawn.
Labels2421A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Zendesk reading right to left. Rank and label count are printed, not drawn.Document360 was named alongside these two in nine of the twelve direct answers. Notion vs Zendesk · Notion vs Helpjuice · Document360 vs Zendesk
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 knowledge base and self-service page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ZendeskFirst choices, of twelve modelsHelpjuice
Direct11
Paraphrase211 against Zendesk
Comparative00
Budget-constrained001 against Zendesk · 1 against Helpjuice
Scale-constrained00
Negative012 against Helpjuice
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where Zendesk and Helpjuice 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 4.1 Fast | | | | |||
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | | | |
Zendesk Helpjuice first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zendesk on the left and Helpjuice on the right.The direct prompt
The plain question, one answer per model, grouped by where Zendesk and Helpjuice stood in it.
Zendesk first, Helpjuice not the choice
1 of 12 modelsHelpjuice was named in the answer but not as the choice, or not at all.GPT-5.4 miniZendesk alternatives: Confluence, Intercom
Helpjuice first, Zendesk not the choice
1 of 12 modelsZendesk was named in the answer but not as the choice, or not at all.Llama 4 MaverickHelpjuice alternatives: Document360, Freshdesk, Pylon
Neither was the first choice, one was named
7 of 12 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashDocument360, Guru alternatives: Confluence, Help Scout Docs, Helpjuice, Notion
Perplexity SonarDocument360 alternatives: Confluence, Helpjuice, Zendesk Guide
Grok 4.1 FastDocument360 alternatives: Confluence, Helpjuice, Notion, Slite, Zendesk Guide
DeepSeek V4 FlashDocument360 alternatives: Freshdesk, Guru, Help Scout, Helpjuice, Zendesk
Qwen 3.7 FlashGuru, Intercom alternatives: Atlassian Confluence, Document360, Zendesk
Kimi K2Confluence alternatives: Guru, Helpjuice, Notion, Slite, Zendesk Guide
MiniMax M2.5Document360 alternatives: Helpjuice, Zendesk Guide/Knowledge
Neither was named
3 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice alternatives: Bloomfire, Document360, Lore, Stonly, Zendesk Guide
Mistral SmallPlain alternatives: Confluence, Document360, Freshdesk, Guru, Slite
GLM 4.7 FlashXHelply alternatives: Confluence, Notion, Plain, Slite
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
Level: the same share of first choices.
Zendesk0%#14 of 16Helpjuice0%#16 of 16Mid-marketThe figures above
Enterprise
What the models said about Zendesk
No label in this category carried a quote.
What the models said about Helpjuice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“High-Risk Tools to Avoid ... Helpjuice ... Weak for customer-facing public help centers” Mistral Small · negative prompt · hard negative
“Steep pricing jumps between tiers (e.g., Helpjuice's $2,400/year jump for AI)” DeepSeek V4 Flash · negative prompt · soft negative
“Starting at: $120/month (up to 4 users) ... Cons: Monthly cost adds up” Mistral Small · budget prompt · soft negative
“I'd recommend Helpjuice if you want a dedicated, highly customizable, predictable-cost help center” DeepSeek V4 Flash · paraphrase prompt · first choice
“Helpjuice - Best for mid-market teams that want a fully managed, hand-customized knowledge base” Llama 4 Maverick · direct prompt · first choice
“Favor enterprise-grade like Document360 (audited versioning) or Helpjuice (governed theming)” Grok 4.1 Fast · negative prompt · first choice
Also compared
Notion vs ZendeskNotion vs HelpjuiceDocument360 vs ZendeskDocument360 vs HelpjuiceFreshdesk vs ZendeskFreshdesk vs HelpjuiceConfluence vs ZendeskConfluence vs HelpjuiceZendesk vs BookStackZendesk vs GuruBookStack vs HelpjuiceGuru vs HelpjuiceAll twenty-eight head-to-head pages and the full knowledge base 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.