Functionly vs OrgChart
Zero of fourteen models named Functionly first on the direct prompt; two named OrgChart. Functionly was named by eight of the fourteen models and OrgChart by twelve and Functionly carries 21 labels and OrgChart 24, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
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 org charts and org design page.
By framing
FunctionlyFirst choices, of fourteen modelsOrgChart
Across every category in the November 2026 Edition, Functionly and OrgChart were named in the same answer fourteen times, of the 39 answers naming Functionly and the 74 naming OrgChart. In those answers OrgChart took the first choice two times and Functionly two.
Every model, every framing
| 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 | |
Functionly OrgChart first choice named as an alternative argued againstblank: not namedEach cell is one answer, Functionly on the left and OrgChart on the right.The direct prompt
OrgChart first, Functionly an alternative
2 of 14 modelsFunctionly was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.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
Functionly0%#11 of 13OrgChart0%#13 of 13Functionly9%#4 of 15OrgChart9%#5 of 15What the models said about Functionly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For a mid-sized B2B company (typically ~150–1,500 employees), Functionly is the strongest fit for organizational design.” DeepSeek V4 Flash · paraphrase prompt · first choice
“Top Recommendation: Functionly (Collaborative Design) or Ingentis/orgChart (Chart & Analytics)” GLM 4.7 FlashX · paraphrase prompt · first choice
“I recommend Functionly as the top organizational design tool for a mid-sized B2B company” Grok 4.20 · paraphrase prompt · first choice
What the models said about OrgChart
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“I'd specifically avoid OrgChart (despite its decent ratings, the usability issues are a recurring theme)” DeepSeek V4 Flash · negative prompt · hard negative
“tools like ChartHop or OrgChart ... are often costly overkill for small-to-medium businesses” Gemini 3.5 Flash · negative prompt · soft negative
“Caution level: Medium-high if your team lacks technical expertise.” Grok 4.20 · negative prompt · soft negative
“Tools like OrgChart, ChartHop, or Pingboard (Workleap) are typically the right weight class for your size.” DeepSeek V4 Flash · scale prompt · first choice
“OrgChart and ChartHop are the top choices due to their automation, integration, and advanced features” Mistral Small · direct prompt · first choice
“Top Recommendation: Functionly (Collaborative Design) or Ingentis/orgChart (Chart & Analytics)” GLM 4.7 FlashX · paraphrase prompt · first choice
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.