| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Org charts and org design | Workforce planning and analytics | 2% | 12 of 81 | 25% | 12 | criticized challenger |
| Workforce planning | Workforce planning and analytics | 0% | 18 of 89 | 9% | 11 | accepted challenger |
| People analytics | Workforce planning and analytics | 0% | 37 of 99 | 0% | 2 | under 10 labels · led by HiBob at 15% |
| Succession planning | Performance and talent management | 0% | 77 of 99 | 0% | 1 | under 10 labels · led by Lattice at 31% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 2 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 1 | 2 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 0 | 3 |
| Perplexity Sonar | 1 | 2 | 1 | 0 | 4 |
| Grok 4.1 Fast | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 2 | 4 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 0 | 0 | 2 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 1 | 3 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend OrgVue if your main need is serious organizational design, scenario modeling, and workforce planning at scale.” Perplexity Sonar · Org charts · paraphrase prompt · first choice
“Orgvue is the gold standard for enterprise org modeling... Caveat: It has a steep learning curve, is expensive” Gemini 3.5 Flash · Org charts · paraphrase prompt · alternative
“Purpose‑built for org design and workforce planning; ideal for teams that need deep modeling” GLM 4.7 FlashX · Org charts · paraphrase prompt · alternative
“Choose Orgvue if you are focused on org redesign, restructuring, or role mapping.” Perplexity Sonar · Workforce planning · comparative prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Per-Profile (e.g., OrgVue): *Enterprise.* Very expensive, usually reserved for massive global corporations.” GLM 4.7 FlashX · Org charts · scale prompt · soft negative
“Powerful, enterprise-grade design & predictive modeling, but heavy, custom-quoted, and overkill for mid-size” DeepSeek V4 Flash · Org charts · paraphrase prompt · soft negative
“Orgvue is reserved for companies with dedicated workforce planning functions and heavy data complexity” DeepSeek V4 Flash · Workforce planning · direct prompt · soft negative
“more enterprise-oriented and may be more tool than a mid-sized company needs” GPT-5.4 mini · Org charts · paraphrase prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 57 of the 74 answers that named Orgvue and are not a share of its labels.
197 of the 197 domain citations in answers naming Orgvue came from somebody else's page.
Pages are listed as the models cited them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Orgvue's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Orgvue, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at orgvue.com is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.