HR AI Index
Index Performance and talent management Talent intelligence › Gem vs SeekOut
Talent intelligence · September 2026 Edition

Gem vs SeekOut

Six of twelve models named Gem first on the direct prompt; two named SeekOut. Both were named by all twelve models and Gem carries 24 labels and SeekOut 31, so the shares are not directly comparable.

Gem

accepted challenger

Named in six categories this edition.

SeekOut

accepted challenger

Named in six categories this edition.

First-choice share15%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 17; printed, not drawn.
Labels2431A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Gem reading right to left. Rank and label count are printed, not drawn.hireEZ was named alongside these two in eight of the twelve direct answers. Pin vs Gem · Pin vs SeekOut · Gem vs Lessie AI

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 talent intelligence page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
GemFirst choices, of twelve modelsSeekOut
Direct622 against SeekOut
Paraphrase00
Comparative11
Budget-constrained00
Scale-constrained11
Negative002 against SeekOut
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, Gem and SeekOut were named in the same answer 110 times, of the 197 answers naming Gem and the 193 naming SeekOut. In those answers SeekOut took the first choice ten times and Gem twenty-three.

Every model, every framing

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

The direct prompt

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

Gem first, SeekOut an alternative

6 of 12 modelsSeekOut was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGem alternatives: Findem, SeekOut, hireEZ
Grok 4.1 FastGem alternatives: Loxo, Metaview, hireEZ
Mistral SmallGem, Metaview
DeepSeek V4 FlashGem alternatives: Lessie AI, Pin, SeekOut, hireEZ
Qwen 3.7 FlashGem alternatives: AmazingHiring, hireEZ, iCIMS Talent Cloud
Kimi K2Gem alternatives: Pin, SeekOut, hireEZ

SeekOut first, Gem not the choice

2 of 12 modelsGem was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSeekOut alternatives: Eightfold AI
MiniMax M2.5SeekOut, hireEZ alternatives: Greenhouse

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Llama 4 MaverickLessie AI alternatives: AmazingHiring, Gem, hireEZ
GLM 4.7 FlashXPin alternatives: Metaview, SeekOut, iCIMS Talent Cloud

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Bryq alternatives: GoPerfect, Skima AI, iCIMS Talent Cloud
Perplexity SonarhireEZ alternatives: Lightcast, Pin

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 leads by fourteen points.
Gem14%#2 of 16
SeekOut0%#11 of 16
The full small business standing →
Mid-marketThe figures above
Gem leads by eight points.
Gem15%#2 of 17
SeekOut6%#7 of 17
The full mid-market standing →
Enterprise
The order flips: SeekOut leads at enterprise.
SeekOut5%#2 of 10
Gem0%#– of 10
The full enterprise standing →

What the models said about Gem

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

“If you are hiring a high volume of Sales, Marketing, and Account Management roles alongside software developers, Gem is your best bet.” Gemini 3.5 Flash · direct prompt · first choice

What the models said about SeekOut

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

“Avoid Eightfold or SeekOut unless you are at the upper end of the mid-market” Qwen 3.7 Flash · direct prompt · hard negative
“Avoid enterprise heavies like Eightfold/SeekOut ($800+/seat, Fortune 500 focus)” Grok 4.1 Fast · direct prompt · hard negative
“Data Integrity & Stale Databases (e.g., SeekOut, hireEZ)... users frequently complain about "stale data"” Gemini 3.5 Flash · negative prompt · soft negative
“If you want one platform for a typical mid-market B2B company, I'd start with SeekOut for external talent intelligence and sourcing.” GPT-5.4 mini · direct prompt · first choice
“I'd recommend starting with SeekOut or hireEZ as they specifically position themselves as talent intelligence platforms” MiniMax M2.5 · direct 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.