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AI recruiting assistants · September 2026 Edition

SeekOut vs Gem

One of twelve models named SeekOut first on the direct prompt; one named Gem. SeekOut was named by ten of the twelve models and Gem by eight and SeekOut carries 13 labels and Gem 10, so the shares are not directly comparable.

SeekOut

accepted challenger

Named in six categories this edition.

Gem

accepted challenger

Named in six categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 13; printed, not drawn.
Labels1310A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, SeekOut reading right to left. Rank and label count are printed, not drawn.Workable was named alongside these two in seven of the twelve direct answers. GoPerfect vs SeekOut · GoPerfect vs Gem · Workable vs SeekOut

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 AI recruiting assistants page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
SeekOutFirst choices, of twelve modelsGem
Direct11
Paraphrase00
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, SeekOut and Gem were named in the same answer 110 times, of the 193 answers naming SeekOut and the 197 naming Gem. In those answers Gem took the first choice twenty-three times and SeekOut ten.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where SeekOut and Gem 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
SeekOut Gem first choice named as an alternative argued againstblank: not namedEach cell is one answer, SeekOut on the left and Gem on the right.

The direct prompt

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

SeekOut first, Gem not the choice

1 of 12 modelsGem was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSeekOut alternatives: Paradox

Gem first, SeekOut not the choice

1 of 12 modelsSeekOut was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashGem alternatives: Ashby, Autonomy Recruit, Greenhouse, TheHireHub.AI

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashGreenhouse alternatives: Ashby, Gem, SmartRecruiters, Workable, hireEZ

Neither was named

9 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5GoPerfect alternatives: Juicebox, Workable
Gemini 3.5 FlashAshby alternatives: Findem, Humanly, Juicebox
Perplexity SonarGoPerfect alternatives: Autonomy Recruit, Workable
Grok 4.1 FastWorkable alternatives: Ashby, hireEZ
Mistral SmallAshby alternatives: Greenhouse, TheHireHub.AI, hireEZ
Llama 4 MaverickAutonomy Recruit alternatives: Humanly, Lever, TheHireHub.AI
Kimi K2Greenhouse alternatives: GoPerfect, Lever, Workable
GLM 4.7 FlashXTheHireHub.AI alternatives: Ashby, Autonomy Recruit, Greenhouse, Workable
MiniMax M2.5TheHireHub.AI alternatives: Ashby, Lever, Workable

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
Gem is not named for this buyer.
SeekOut0%#– of 9
Gemnot named
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
SeekOut2%#6 of 13
Gem2%#8 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
SeekOut2%#7 of 10
Gem2%#– of 10
The full enterprise standing →

What the models said about SeekOut

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

“the best choice is usually SeekOut if your main need is finding, sourcing, screening, and engaging professional/knowledge-worker candidates” GPT-5.4 mini · direct prompt · first choice

What the models said about Gem

No label in this category carried a quote.

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.