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Recruiting CRM and sourcing · September 2026 Edition

LinkedIn Recruiter vs SeekOut

Two of twelve models named LinkedIn Recruiter first on the direct prompt; one named SeekOut. Both were named by all twelve models and LinkedIn Recruiter carries 26 labels and SeekOut 34, so the shares are not directly comparable.

LinkedIn Recruiter

accepted challenger

Named in three categories this edition.

SeekOut

accepted challenger

Named in six categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%3%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 11; printed, not drawn.
Labels2634A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, LinkedIn Recruiter reading right to left. Rank and label count are printed, not drawn.Gem was named alongside these two in nine of the twelve direct answers. Lever vs LinkedIn Recruiter · Lever vs SeekOut · Gem vs LinkedIn Recruiter

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 Recruiting CRM and sourcing page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
LinkedIn RecruiterFirst choices, of twelve modelsSeekOut
Direct21
Paraphrase00
Comparative203 against LinkedIn Recruiter
Budget-constrained001 against LinkedIn Recruiter
Scale-constrained001 against LinkedIn Recruiter
Negative001 against LinkedIn Recruiter · 1 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, LinkedIn Recruiter and SeekOut were named in the same answer fifty-four times, of the 106 answers naming LinkedIn Recruiter and the 193 naming SeekOut. In those answers SeekOut took the first choice six times and LinkedIn Recruiter seven.

Every model, every framing

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

The direct prompt

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

LinkedIn Recruiter first, SeekOut an alternative

2 of 12 modelsSeekOut was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLinkedIn Recruiter alternatives: SeekOut, Workable, Zoho Recruit
Qwen 3.7 FlashLinkedIn Recruiter alternatives: Gem, Gorilla Search, SeekOut

SeekOut first, LinkedIn Recruiter not the choice

1 of 12 modelsLinkedIn Recruiter was named in the answer but not as the choice, or not at all.
MiniMax M2.5Lever, SeekOut alternatives: Findem, Gem, hireEZ

Neither was the first choice, one was named

8 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Gem, hireEZ alternatives: Jobvite, Loxo, SeekOut
Gemini 3.5 FlashGem alternatives: Fetcher, SeekOut, ZoomInfo Talent, hireEZ
Perplexity SonarGem alternatives: Fetcher, SeekOut, Workable, hireEZ
Grok 4.1 FastLever alternatives: LinkedIn Recruiter, Workable
Mistral SmallGem, Lever alternatives: Juicebox, SeekOut, hireEZ
DeepSeek V4 FlashGem alternatives: LinkedIn Recruiter, SeekOut, hireEZ
Kimi K2hireEZ alternatives: Gem, LinkedIn Recruiter
GLM 4.7 FlashXGem alternatives: Juicebox, Manatal, SeekOut, hireEZ

Neither was named

1 of 12 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
LinkedIn Recruiter leads by four points.
LinkedIn Recruiter4%#6 of 13
SeekOut0%#12 of 13
The full small business standing →
Mid-marketThe figures above
LinkedIn Recruiter leads by two points.
LinkedIn Recruiter5%#7 of 11
SeekOut2%#8 of 11
The full mid-market standing →
Enterprise
The order flips: SeekOut leads at enterprise.
SeekOut15%#2 of 6
LinkedIn Recruiter12%#3 of 6
The full enterprise standing →

What the models said about LinkedIn Recruiter

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

“Declining Boolean search tools (e.g., older LinkedIn Recruiter features): Reduced accuracy in regulated industries, leading to missed qualified candidates.” Grok 4.1 Fast · negative prompt · soft negative
“A market leader with advanced search... Best for general use but can be expensive, especially for larger teams.” Mistral Small · comparative prompt · soft negative
“remains the go‑to for LinkedIn‑only sourcing, but it's expensive and limited to one network” GLM 4.7 FlashX · comparative prompt · soft negative
“If you want the largest mainstream professional pool, start with LinkedIn Recruiter” GPT-5.4 mini · comparative prompt · first choice
“For many B2B companies, LinkedIn remains the gold standard due to its network effect.” Qwen 3.7 Flash · direct prompt · first choice
“the best candidate sourcing tool is usually LinkedIn Recruiter” GPT-5.4 mini · 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. One of one in this category shown.

“I'd recommend starting with Lever (if you want all-in-one) or SeekOut (for specialized technical sourcing)” 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.