HR AI assistants · November 2026 Edition
HiBob vs Workativ Assistant
Seven of fourteen models named HiBob first on the direct prompt; one named Workativ Assistant. HiBob was named by eleven of the fourteen models and Workativ Assistant by eleven and HiBob carries 12 labels and Workativ Assistant 19, so the shares are not directly comparable.
Named in twenty-two categories this edition.
Named in one category this edition.
First-choice share12%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 14; printed, not drawn.
Labels1219A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HiBob reading right to left. Rank and label count are printed, not drawn.Leena AI was named alongside these two in thirteen of the fourteen direct answers. MeBeBot vs HiBob · MeBeBot vs Workativ Assistant · Leena AI vs HiBob
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 HR AI assistants page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HiBobFirst choices, of fourteen modelsWorkativ Assistant
Direct71
Paraphrase00
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
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 HiBob and Workativ Assistant 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 | | | |
HiBob Workativ Assistant first choice named as an alternative argued againstblank: not namedEach cell is one answer, HiBob on the left and Workativ Assistant on the right.The direct prompt
The plain question, one answer per model, grouped by where HiBob and Workativ Assistant stood in it.
HiBob first, Workativ Assistant an alternative
7 of 14 modelsWorkativ Assistant was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashHiBob alternatives: Ask BambooHR, Lattice, Leena AI, Metaview, Moveworks, Paradox, Rippling, Workativ Assistant
Grok 4.20HiBob alternatives: Leena AI, Microsoft Copilot, Moveworks, Workativ Assistant
Qwen 3.7 FlashHiBob alternatives: Harmony, Leena AI, Rippling, eesel AI
Kimi K2HiBob alternatives: BambooHR with Bamboo AI, Leena AI, Paradox
GLM 4.7 FlashXHiBob, Wisq Harper alternatives: Leena AI, MeBeBot, Rippling
MiniMax M2.5HiBob, MeBeBot alternatives: Leena AI, Rippling, Workativ Assistant
Muse Glimmer 30BHiBob, MeBeBot alternatives: Atomicwork, Harmony, Leena AI, Paradox, Rippling, Workday Illuminate
Workativ Assistant first, HiBob not the choice
1 of 14 modelsHiBob was named in the answer but not as the choice, or not at all.GPT-6 LunaWorkativ Assistant alternatives: MeBeBot, Moveworks, Rippling
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.Claude Haiku 4.5Leena AI alternatives: ChatGPT, HiBob, Lattice, Workable
GPT-5.4 miniLeena AI, Zendesk Employee Service Suite alternatives: HiBob, Rippling
Perplexity SonarLeena AI alternatives: Ask BambooHR, Harmony, Lattice, Rippling, Workativ Assistant
Mistral SmallMeBeBot alternatives: Harmony, HiBob, Leena AI, Rippling, eesel AI
DeepSeek V4 FlashRippling alternatives: HiBob, Leena AI, MeBeBot
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Llama 4 MaverickMeBeBot alternatives: Atomicwork, Harmony, HiBob's Bob, Leena AI, Rippling, Wisq Harper
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
Workativ Assistant leads by three points.
Workativ Assistant3%#7 of 12HiBob0%#– of 12Mid-marketThe figures above
The order flips: HiBob leads at mid-market.
HiBob12%#3 of 14Workativ Assistant2%#8 of 14Enterprise
HiBob is not named for this buyer.
Workativ Assistant2%#6 of 7HiBob—not namedWhat the models said about HiBob
No label in this category carried a quote.
What the models said about Workativ Assistant
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“My default pick to pilot is Workativ” GPT-6 Luna · direct prompt · first choice
“Workativ – Rank 1 ... Combines AI Agents, AI Co-Workers, live system actions, human approvals, and cross-system orchestration.” Muse Glimmer 30B · comparative prompt · alternative
“Runner-Up Options to Consider ... Workativ ... Custom quote (likely more expensive than MeBeBot)” GLM 4.7 FlashX · paraphrase prompt · alternative
Also compared
MeBeBot vs HiBobMeBeBot vs Workativ AssistantLeena AI vs HiBobLeena AI vs Workativ AssistantHiBob vs ChatGPTHiBob vs ClaudeHiBob vs Ask BambooHRHiBob vs RipplingChatGPT vs Workativ AssistantClaude vs Workativ AssistantAsk BambooHR vs Workativ AssistantRippling vs Workativ AssistantAll twenty-eight head-to-head pages and the full HR AI assistants 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.