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Talent intelligence · November 2026 Edition

SeekOut Recruit vs Pin

Eight of fourteen models named SeekOut Recruit first on the direct prompt; two named Pin. SeekOut Recruit was named by fourteen of the fourteen models and Pin by eleven and SeekOut Recruit carries 45 labels and Pin 15, so the shares are not directly comparable.

SeekOut Recruit

accepted challenger

Named in one category this edition.

Pin

accepted challenger

Named in five categories this edition.

First-choice share21%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 15; printed, not drawn.
Labels4515A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, SeekOut Recruit reading right to left. Rank and label count are printed, not drawn.SeekOut Recruit vs Lessie AI · SeekOut Recruit vs Eightfold AI · SeekOut Recruit vs hireEZ

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 talent intelligence page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SeekOut RecruitFirst choices, of fourteen modelsPin
Direct82
Paraphrase101 against SeekOut Recruit
Comparative00
Budget-constrained044 against SeekOut Recruit
Scale-constrained20
Negative003 against SeekOut Recruit
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 SeekOut Recruit and Pin stood in it.
ModelDirectSRParaphraseSRComparativeSRBudget-constrainedSRScale-constrainedSRNegativeSR
Claude Haiku 4.5
GPT-5.4 miniSRSR
Gemini 3.5 FlashSRSRSRSR
Perplexity SonarSRSRSR
Grok 4.20SRSRSRSRSRSR
Mistral SmallSRSRSRSR
DeepSeek V4 FlashSRSRSR
Llama 4 MaverickSR
Qwen 3.7 FlashSRSRSRSR
Kimi K2SRSR
GLM 4.7 FlashXSRSRSR
MiniMax M2.5SRSRSR
GPT-6 LunaSR
Muse Glimmer 30BSRSRSR
SR SeekOut Recruit PinSR first choiceSR named as an alternativeSR argued againstblank: not namedEach cell is one answer, SeekOut Recruit on the left and Pin on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Kimi K2Pin, SeekOut Recruit alternatives: Ashby, Greenhouse

SeekOut Recruit first, Pin not the choice

7 of 14 modelsPin was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSeekOut Recruit alternatives: Eightfold AI, hireEZ
Mistral SmallEightfold AI, SeekOut Recruit alternatives: Sapia.ai, iCIMS Talent Cloud
DeepSeek V4 FlashSeekOut Recruit alternatives: Gem, hireEZ
GLM 4.7 FlashXSeekOut Recruit alternatives: Ceipal, Talent.ai
MiniMax M2.5Greenhouse, SeekOut Recruit alternatives: Eightfold AI, hireEZ
GPT-6 LunaSeekOut Recruit alternatives: Lightcast
Muse Glimmer 30BSeekOut Recruit alternatives: Eightfold AI, Lessie AI, hireEZ

Pin first, SeekOut Recruit not the choice

1 of 14 modelsSeekOut Recruit was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Arya, Pin alternatives: 365Talents, Eightfold AI, Gem, Loxo, iCIMS Talent Cloud

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.
Gemini 3.5 FlashFindem alternatives: Gem, Loxo, SeekOut Recruit
Perplexity SonarhireEZ alternatives: Gem, SeekOut Recruit
Grok 4.20Loxo alternatives: Eightfold AI, Gem, SeekOut Recruit
Qwen 3.7 FlashLessie AI, hireEZ alternatives: Gem, SeekOut Recruit

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice

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
Pin leads by twelve points.
Pin14%#1 of 18
SeekOut Recruit2%#11 of 18
The full small business standing →
Mid-marketThe figures above
The order flips: SeekOut Recruit leads at mid-market.
SeekOut Recruit21%#1 of 15
Pin12%#3 of 15
The full mid-market standing →
Enterprise
SeekOut Recruit leads by four points.
SeekOut Recruit4%#3 of 11
Pin0%#– of 11
The full enterprise standing →

What the models said about SeekOut Recruit

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

“Avoid enterprise-heavy options like Eightfold AI, SeekOut, Beamery” Grok 4.20 · budget prompt · hard negative
“Many talent intelligence tools (e.g., those from SeekOut, Beamery, Phenom, Gloat, Censia, Findem, Visier, or LinkedIn Talent Insights) aggregate data from public sources” Grok 4.20 · negative prompt · soft negative
“SeekOut has notable limitations, such as inconsistent contact data quality and some profiles lacking usable emails” Mistral Small · negative prompt · soft negative
“SeekOut: Excellent for sourcing intelligence, diversity, and market mapping. Strong external data + ATS integration. Good for recruiting-heavy needs; often praised for mid-market pricing and ease.” Grok 4.20 · scale prompt · first choice
“I'd lean SeekOut—because mid-market companies often need the strongest balance of candidate discovery, team usability, and practical recruiting workflows” GPT-5.4 mini · direct prompt · first choice
“1. SeekOut - *Best Overall Value* ... Start with SeekOut if you're primarily focused on sourcing and talent discovery” GLM 4.7 FlashX · direct prompt · first choice

What the models said about Pin

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

“Pin with its free tier / $99-100/mo plans and Lessie AI as the "fast, affordable, action-oriented sourcing" pick are the consensus budget options in 2026.” Muse Glimmer 30B · budget prompt · first choice
“Start with SeekOut or Pin if your primary need is sourcing intelligence at a reasonable price point.” Kimi K2 · 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.