Index › Finance › Equity and corporate › Board portals › OnBoard vs Boardable
Board portals · November 2026 Edition

OnBoard vs Boardable

Fourteen of fourteen models named OnBoard first on the direct prompt; zero named Boardable. OnBoard was named by fourteen of the fourteen models and Boardable by thirteen and OnBoard carries 61 labels and Boardable 37, so the shares are not directly comparable.

OnBoard

endorsed leader

Named in three categories this edition.

Boardable

accepted challenger

Named in two categories this edition.

First-choice share52%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 12; printed, not drawn.
Labels6137A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OnBoard reading right to left. Rank and label count are printed, not drawn.OnBoard vs BoardPro · OnBoard vs Nasdaq Boardvantage · OnBoard vs Easy Board

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 board portals page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
OnBoardFirst choices, of fourteen modelsBoardable
Direct1401 against Boardable
Paraphrase110
Comparative10
Budget-constrained063 against OnBoard
Scale-constrained30
Negative104 against OnBoard · 2 against Boardable
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.

Across every category in the November 2026 Edition, OnBoard and Boardable were named in the same answer 119 times, of the 286 answers naming OnBoard and the 191 naming Boardable. In those answers Boardable took the first choice nineteen times and OnBoard twelve.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where OnBoard and Boardable stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
OnBoard Boardable first choice named as an alternative argued againstblank: not namedEach cell is one answer, OnBoard on the left and Boardable on the right.

The direct prompt

The plain question, one answer per model, grouped by where OnBoard and Boardable stood in it.

OnBoard first, Boardable an alternative

14 of 14 modelsBoardable was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5OnBoard alternatives: Aprio Board Portal, BoardEffect, Govenda
GPT-5.4 miniOnBoard alternatives: BoardEffect, BoardPro, Diligent Boards, Nasdaq Boardvantage
Gemini 3.5 FlashOnBoard alternatives: Aprio Board Portal, Azeus Convene, Govenda
Perplexity SonarOnBoard alternatives: AppDeck, Boardable
Grok 4.20OnBoard alternatives: Aprio Board Portal, BoardPro
Mistral SmallNasdaq Boardvantage, OnBoard alternatives: Diligent Boards
DeepSeek V4 FlashOnBoard alternatives: Aprio Board Portal, BoardPro
Llama 4 MaverickOnBoard
Qwen 3.7 FlashOnBoard alternatives: BoardPro, Boardable
Kimi K2BoardPro, OnBoard alternatives: Aprio Board Portal
GLM 4.7 FlashXBoardPro, OnBoard alternatives: AppDeck
MiniMax M2.5OnBoard alternatives: AppDeck, BoardEffect, BoardMaps, BoardPro
GPT-6 LunaOnBoard alternatives: Diligent Boards, Nasdaq Boardvantage
Muse Glimmer 30BOnBoard, Zeck alternatives: AppDeck

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
Boardable leads by six points.
Boardable17%#2 of 9
OnBoard11%#3 of 9
The full small business standing →
Mid-marketThe figures above
The order flips: OnBoard leads at mid-market.
OnBoard52%#1 of 12
Boardable11%#3 of 12
The full mid-market standing →
Enterprise
OnBoard leads by twelve points.
OnBoard13%#2 of 9
Boardable2%#7 of 9
The full enterprise standing →

What the models said about OnBoard

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“What to Avoid - Diligent, OnBoard, and BoardEffect” DeepSeek V4 Flash · budget prompt · hard negative
“Mid-Market Leaders (Often the sweet spot for 500-person companies): OnBoard (Passageways): Highly rated for ease of use, intuitive design, and mid-market value.” Gemini 3.5 Flash · scale prompt · first choice
“OnBoard is frequently highlighted as the best overall balanced option for mid-market companies seeking modern functionality without enterprise pricing.” Claude Haiku 4.5 · paraphrase prompt · first choice

What the models said about Boardable

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“60% negative rate in AI analysis; criticized challenger status” Kimi K2 · negative prompt · hard negative
“SMB-focused tools (like Boardable) may lack the governance features, integrations, or compliance standards needed by mid-market B2B leadership” Gemini 3.5 Flash · direct prompt · soft negative
“Boardable requires 30 days’ notice of cancellation before your subscription runs out, so be wary.” Muse Glimmer 30B · negative prompt · soft negative
“The best board portal for a company with a limited budget is Boardable, which costs $20.99-$35.99 per user per month.” Llama 4 Maverick · budget prompt · first choice
Also compared

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.