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Index › Performance and talent management › Succession planning › Engagedly vs Leapsome
Succession planning · October 2026 Edition

Engagedly vs Leapsome

Six of fourteen models named Engagedly first on the direct prompt; zero named Leapsome. Engagedly was named by ten of the fourteen models and Leapsome by nine and Engagedly carries 17 labels and Leapsome 16, so the shares are not directly comparable.

Engagedly

accepted challenger

Named in ten categories this edition.

Leapsome

accepted challenger

Named in twelve categories this edition.

First-choice share11%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels1716A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Engagedly reading right to left. Rank and label count are printed, not drawn.Lattice was named alongside these two in eight of the fourteen direct answers. Lattice vs Engagedly · Lattice vs Leapsome · Engagedly vs SuccessionNow

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 succession planning page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
EngagedlyFirst choices, of fourteen modelsLeapsome
Direct60
Paraphrase02
Comparative00
Budget-constrained001 against Leapsome
Scale-constrained00
Negative002 against Leapsome
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 Engagedly and Leapsome stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Engagedly Leapsome first choice named as an alternative argued againstblank: not namedEach cell is one answer, Engagedly on the left and Leapsome on the right.

The direct prompt

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

Engagedly first, Leapsome not the choice

6 of 14 modelsLeapsome was named in the answer but not as the choice, or not at all.
Perplexity SonarEngagedly, Lattice alternatives: ADP Workforce Now, BambooHR, Dayforce, UKG Pro Succession Planning
Grok 4.1 FastEngagedly alternatives: BambooHR, Lattice, PerformYard, SuccessionNow
Mistral SmallEngagedly, Lattice alternatives: SuccessionNow, TalentGuard Succession Planning
Qwen 3.7 FlashEngagedly alternatives: BambooHR, Cornerstone Succession, Dayforce, SAP SuccessFactors Succession & Development
GLM 4.7 FlashXEngagedly alternatives: Cornerstone Succession, Dayforce, Lattice, PeopleFluent Succession Management, SuccessionNow, UKG Pro Succession Planning
Muse Glimmer 30BBambooHR, Engagedly alternatives: Lattice, Paylocity, SuccessionHR, UKG Pro Succession Planning

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Peoplebox alternatives: ChartHop, Engagedly, Lattice
Llama 4 MaverickSuccessionHR alternatives: Cornerstone, Engagedly

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniHiBob alternatives: BambooHR add-ons / partner ecosystem, ClearCompany, Cornerstone Talent Management / Talent Experience, UKG Pro Succession Planning, Workday Succession Planning
Gemini 3.5 FlashSuccessionStack alternatives: HiBob, Lattice, PerformYard, TalentGuard Succession Planning
DeepSeek V4 FlashSuccessionHR alternatives: BambooHR, Cornerstone Galaxy, PeopleFluent Succession Management
Kimi K2BambooHR, HiBob alternatives: Cornerstone Succession, Fuel50
MiniMax M2.5Lattice alternatives: Cornerstone Succession, Deel HR, Qooper, TalentGuard Succession Planning
GPT-6 Luna15Five alternatives: Cornerstone Succession, SAP SuccessFactors Succession & Development, Workday Succession Planning

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
Leapsome leads by four points.
Leapsome4%#9 of 11
Engagedly0%#– of 11
The full small business standing →
Mid-marketThe figures above
The order flips: Engagedly leads at mid-market.
Engagedly11%#2 of 13
Leapsome4%#7 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Engagedly0%#– of 10
Leapsome0%#– of 10
The full enterprise standing →

What the models said about Engagedly

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

“Engagedly and Lattice are the best overall choices due to their strong feature sets, ease of use, and mid-market focus.” Mistral Small · direct prompt · first choice
“if you want a single best default, Engagedly is the better fit for succession planning plus talent mobility” Perplexity Sonar · direct prompt · first choice

What the models said about Leapsome

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

“Lattice and Leapsome reach succession through performance tiers carrying $4,000 and $6,000 annual minimums.” Muse Glimmer 30B · negative prompt · soft negative
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.