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Index › HR › Talent acquisition › Recruiting CRM › Gem vs Manatal
Recruiting CRM and sourcing · November 2026 Edition

Gem vs Manatal

Eight of fourteen models named Gem first on the direct prompt; zero named Manatal. Gem was named by thirteen of the fourteen models and Manatal by twelve and Gem carries 35 labels and Manatal 19, so the shares are not directly comparable.

Gem

accepted challenger

Named in eight categories this edition.

Manatal

accepted challenger

Named in nine categories this edition.

First-choice share20%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 13; printed, not drawn.
Labels3519A 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 twelve of the fourteen direct answers. Gem vs hireEZ · Gem vs Lever · Gem vs LinkedIn Recruiter

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 Recruiting CRM and sourcing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GemFirst choices, of fourteen modelsManatal
Direct80
Paraphrase201 against Gem
Comparative20
Budget-constrained04
Scale-constrained00
Negative00
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 Gem and Manatal stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Gem Manatal first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gem on the left and Manatal on the right.

The direct prompt

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

Gem first, Manatal an alternative

8 of 14 modelsManatal was named in the answer but not as the choice, or not at all.
GPT-5.4 miniGem alternatives: LinkedIn Recruiter, Loxo, SeekOut, hireEZ
Mistral SmallGem, hireEZ alternatives: Fetcher, Findem
Llama 4 MaverickFetcher, Findem, Gem, hireEZ
Qwen 3.7 FlashGem alternatives: ContactOut, Fetcher, Lusha, hireEZ
Kimi K2Gem alternatives: SeekOut, hireEZ
GLM 4.7 FlashXFetcher, Gem alternatives: hireEZ
MiniMax M2.5Gem, SeekOut alternatives: Fetcher, Juicebox, hireEZ
Muse Glimmer 30BGem, hireEZ alternatives: Fetcher, Findem, Humanly, Manatal, TheHireHub.AI

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarhireEZ alternatives: Gem, Lever, SeekOut, Workable
DeepSeek V4 FlashhireEZ alternatives: Fetcher, Gem, LinkedIn Recruiter, SeekOut
GPT-6 LunaLinkedIn Recruiter alternatives: Gem, SeekOut

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5LinkedIn Recruiter alternatives: Apollo.io, ZoomInfo
Gemini 3.5 FlashLinkedIn Recruiter alternatives: Fetcher, Findem, SeekOut, ZoomInfo Talent, hireEZ
Grok 4.20hireEZ alternatives: Findem, SeekOut

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
Manatal leads by twelve points.
Manatal12%#3 of 10
Gem0%#9 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Gem leads at mid-market.
Gem20%#1 of 13
Manatal8%#3 of 13
The full mid-market standing →
Enterprise
Gem leads by nine points.
Gem15%#2 of 13
Manatal6%#7 of 13
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. Four of four in this category shown.

“Excellent for outbound sourcing but is a point solution, not a full ATS+CRM” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Gem and Fetcher are widely considered the top choices... If you can only afford one advanced tool right now, start with Gem.” Qwen 3.7 Flash · direct prompt · first choice
“Gem (Top Recommendation) ... The gold standard if budget allows and outbound sourcing is a primary channel.” Gemini 3.5 Flash · paraphrase prompt · first choice
“SeekOut or Gem offer the best balance of functionality, pricing, and ease of use” MiniMax M2.5 · direct prompt · first choice

What the models said about Manatal

No label in this category carried a quote.

Also compared
Gem vs hireEZGem vs LeverGem vs LinkedIn RecruiterGem vs AshbyGem vs FetcherGem vs Zoho RecruithireEZ vs ManatalManatal vs LeverManatal vs LinkedIn RecruiterManatal vs AshbyManatal vs FetcherManatal vs Zoho RecruitAll twenty-eight head-to-head pages and the full Recruiting CRM standing

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.