# Organimi vs OrgChart: which do AI models recommend for org charts, October 2026

HR AI Recommendation Index, October 2026 Edition, Org charts and org design. One of fourteen models named Organimi first on the direct prompt; one named OrgChart. Page: https://hr-ai-index.com/planning/org-charts-and-org-design/organimi-vs-orgchart/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Organimi | 9% | #2 of 13 | 5% | 43 | 14 of 14 |
| OrgChart | 6% | #5 of 13 | 15% | 26 | 11 of 14 |

## The direct prompt, model by model

- GPT-6 Luna: organimi first (first choices: Organimi) (alternatives: ChartHop, OrgChart)
- Perplexity Sonar: orgchart first (first choices: OrgChart) (alternatives: Lucidchart, OrgChartHub, Organimi)
- Claude Haiku 4.5: neither first, one named (first choices: OneDirectory) (alternatives: Lucidchart, OrgChart, Organimi)
- GPT-5.4 mini: neither first, one named (first choices: ChartHop) (alternatives: OrgChart, Pingboard)
- Gemini 3.5 Flash: neither first, one named (first choices: ChartHop) (alternatives: HiBob, Organimi, Rippling, Sift, TeamOhana)
- Grok 4.1 Fast: neither first, one named (first choices: Pingboard) (alternatives: Lucidchart, Organimi)
- Mistral Small: neither first, one named (first choices: OrgChartHub, Pingboard) (alternatives: Arbor, Ingentis org.manager, Organimi)
- DeepSeek V4 Flash: neither first, one named (first choices: ChartHop) (alternatives: Lucidchart, OrgChart, Pingboard, The Org)
- Kimi K2: neither first, one named (first choices: Pingboard) (alternatives: ChartHop, Lucidchart, Organimi)
- GLM 4.7 FlashX: neither first, one named (first choices: ChartHop) (alternatives: BambooHR, Organimi, Pingboard)
- MiniMax M2.5: neither first, one named (first choices: ChartHop) (alternatives: OneDirectory, OrgChart, Pingboard, Sift)
- Muse Glimmer 30B: neither first, one named (first choices: Pingboard) (alternatives: ChartHop, OneDirectory, OrgChartHub, Organimi)
- Llama 4 Maverick: neither named
- Qwen 3.7 Flash: neither named (first choices: Luminal) (alternatives: BambooHR, BetterU, Lucidchart, Rippling)

## What the models said about Organimi

- "Tools reliant on infrequent data syncs (e.g., import-only like some tiers of Organimi or Monday.com)" (Grok 4.1 Fast, negative prompt, soft negative)
- "Organimi has data integration issues and is not as scalable as other options" (Claude Haiku 4.5, negative prompt, soft negative)
- "Organimi at ~$20/mo for up to 150 employees is frequently cited as the affordable dedicated option" (Muse Glimmer 30B, budget prompt, first choice)
- "I'd start with Organimi Premium for a typical mid-market B2B company" (GPT-6 Luna, direct prompt, first choice)
- "Organimi is notable for being completely free for up to 25 users" (Perplexity Sonar, budget prompt, first choice)

## What the models said about OrgChart

- "Reviews mention steep learning curves, complexity, or clunky directory experiences in certain products. ([g2.com](https://www.g2.com/products/orgchart/reviews" (GPT-5.4 mini, negative prompt, soft negative)
- "Steep learning curve — users report feeling "overwhelmed by inconsistent training and complex features"" (Kimi K2, negative prompt, soft negative)
- "Interface is dated and not intuitive for average users ... Clunky administration for making changes" (MiniMax M2.5, negative prompt, soft negative)
- "I'd recommend OrgChart if your main need is a practical, easy-to-adopt organizational design and org-chart tool" (GPT-5.4 mini, paraphrase prompt, first choice)
- "described as a leading org chart automation and workforce planning solution built for HR professionals" (Muse Glimmer 30B, comparative prompt, first choice)
- "Org Chart Software (like Lucidchart, OrgChart, or Miro) - Best for visualizing hierarchy" (Claude Haiku 4.5, paraphrase prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.