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Internal talent marketplace · November 2026 Edition

Engagedly vs Gloat

Five of fourteen models named Engagedly first on the direct prompt; zero named Gloat. Engagedly was named by nine of the fourteen models and Gloat by fourteen and Engagedly carries 13 labels and Gloat 40, so the shares are not directly comparable.

Engagedly

accepted challenger

Named in eight categories this edition.

Gloat

criticized challenger

Named in six categories this edition.

First-choice share13%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%52%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 13; printed, not drawn.
Labels1340A 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.Fuel50 was named alongside these two in eleven of the fourteen direct answers. Fuel50 vs Engagedly · Fuel50 vs Gloat · Engagedly vs TalentGuard

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 internal talent marketplace 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 modelsGloat
Direct506 against Gloat
Paraphrase126 against Gloat
Comparative07
Budget-constrained006 against Gloat
Scale-constrained003 against Gloat
Negative00
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 Gloat 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
Engagedly Gloat first choice named as an alternative argued againstblank: not namedEach cell is one answer, Engagedly on the left and Gloat on the right.

The direct prompt

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

Engagedly first, Gloat not the choice

5 of 14 modelsGloat was named in the answer but not as the choice, or not at all.
Perplexity SonarEngagedly alternatives: 365Talents, Fuel50, Hitch Works, Workday Talent Marketplace
Mistral SmallEngagedly, Fuel50 alternatives: 365Talents, MentorcliQ
Llama 4 MaverickEngagedly
MiniMax M2.5Engagedly alternatives: Cornerstone OnDemand, Fuel50, HCM4ALL, Workday Talent Marketplace
Muse Glimmer 30BEngagedly alternatives: 365Talents, Fuel50, GoFIGR, HCM4ALL, MentorcliQ

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.
Grok 4.20Fuel50 alternatives: Eightfold AI, Engagedly, Gloat, Phenom, SAP SuccessFactors Opportunity Marketplace, Workday Talent Marketplace
DeepSeek V4 FlashGoFIGR alternatives: Engagedly
Kimi K2365Talents alternatives: Engagedly, Fuel50
GPT-6 LunaFuel50 alternatives: Eightfold AI, Gloat, Workday Talent Marketplace

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniFuel50 alternatives: 365Talents, Workday Talent Marketplace
Gemini 3.5 FlashNestor alternatives: Fuel50, HiBob, Lattice Grow / Talent, TalentGuard, Workday Talent Marketplace
Qwen 3.7 FlashGoFIGR alternatives: Fuel50, ServiceNow Workforce Transformation, Workday Prism, Workday Talent Marketplace
GLM 4.7 FlashXFuel50, GoFIGR alternatives: 365Talents, Workday Talent Optimization

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
Gloat leads by two points.
Gloat2%#8 of 16
Engagedly0%#– of 16
The full small business standing →
Mid-marketThe figures above
The order flips: Engagedly leads at mid-market.
Engagedly13%#2 of 13
Gloat4%#5 of 13
The full mid-market standing →
Enterprise
Engagedly is not named for this buyer.
Gloat61%#1 of 10
Engagedly—not named
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 Fuel50 are the top recommendations due to their strong features, mid-market focus” Mistral Small · direct prompt · first choice
“the market consensus in 2026 points to Engagedly for readiness-driven mobility” Muse Glimmer 30B · direct prompt · first choice

What the models said about Gloat

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

“Enterprise platforms to skip: Gloat, Fuel50, Eightfold AI, Workday Talent Marketplace, and SAP SuccessFactors” DeepSeek V4 Flash · budget prompt · hard negative
“Gloat helps enterprises build internal opportunity marketplaces that support full-time roles, projects, short-term gigs, mentorships, and learning-driven mobility.” Claude Haiku 4.5 · comparative prompt · first choice
“Most mature two-sided marketplace; matches employees to full-time roles, gigs, projects, mentorships; serves 1.5M+ employees at Fortune 500s” DeepSeek V4 Flash · comparative prompt · first choice
“Best overall enterprise talent marketplace for large organizations building AI-driven internal mobility and skills-based workforce systems.” Muse Glimmer 30B · comparative 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.