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Recruiting CRM and sourcing · September 2026 Edition

Pin vs LinkedIn Recruiter

Zero of twelve models named Pin first on the direct prompt; two named LinkedIn Recruiter. Pin was named by six of the twelve models and LinkedIn Recruiter by twelve and Pin carries 11 labels and LinkedIn Recruiter 26, so the shares are not directly comparable.

Pin

accepted challenger

Named in seven categories this edition.

LinkedIn Recruiter

accepted challenger

Named in three categories this edition.

First-choice share7%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 11; printed, not drawn.
Labels1126A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pin reading right to left. Rank and label count are printed, not drawn.SeekOut was named alongside these two in nine of the twelve direct answers. Lever vs Pin · Lever vs LinkedIn Recruiter · Gem vs Pin

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.
PinFirst choices, of twelve modelsLinkedIn Recruiter
Direct02
Paraphrase00
Comparative023 against LinkedIn Recruiter
Budget-constrained301 against LinkedIn Recruiter
Scale-constrained001 against LinkedIn Recruiter
Negative001 against LinkedIn Recruiter
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.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Pin and LinkedIn Recruiter stood in it.
ModelDirectPIParaphrasePIComparativePIBudget-constrainedPIScale-constrainedPINegativePI
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 FlashPI
Perplexity SonarPI
Grok 4.1 Fast
Mistral Small
DeepSeek V4 FlashPI
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5PI
PI Pin LinkedIn RecruiterPI first choicePI named as an alternativePI argued againstblank: not namedEach cell is one answer, Pin on the left and LinkedIn Recruiter on the right.

The direct prompt

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

LinkedIn Recruiter first, Pin not the choice

2 of 12 modelsPin 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

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastLever alternatives: LinkedIn Recruiter, Workable
DeepSeek V4 FlashGem alternatives: LinkedIn Recruiter, SeekOut, hireEZ
Kimi K2hireEZ alternatives: Gem, LinkedIn Recruiter

Neither was named

7 of 12 modelsThe answer made no first choice from these two in this category.
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
Mistral SmallGem, Lever alternatives: Juicebox, SeekOut, hireEZ
Llama 4 Maverickno first choice
GLM 4.7 FlashXGem alternatives: Juicebox, Manatal, SeekOut, hireEZ
MiniMax M2.5Lever, SeekOut alternatives: Findem, Gem, hireEZ

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 nineteen points.
Pin23%#1 of 13
LinkedIn Recruiter4%#6 of 13
The full small business standing →
Mid-marketThe figures above
Pin leads by two points.
Pin7%#5 of 11
LinkedIn Recruiter5%#7 of 11
The full mid-market standing →
Enterprise
The order flips: LinkedIn Recruiter leads at enterprise.
LinkedIn Recruiter12%#3 of 6
Pin0%#– of 6
The full enterprise standing →

What the models said about Pin

No label in this category carried a quote.

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
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.