6 categories · RankedGem
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Recruiting CRM and sourcing | Talent acquisition | 18% | 2 of 88 | 3% | 39 | accepted challenger |
| Talent intelligence | Performance and talent management | 15% | 2 of 77 | 0% | 24 | accepted challenger |
| Interview scheduling | Talent acquisition | 4% | 10 of 72 | 0% | 4 | under 10 labels · led by Calendly at 21% |
| AI recruiting assistants | Talent acquisition | 2% | 10 of 84 | 0% | 10 | accepted challenger |
| Recruitment marketing and career sites | Talent acquisition | 2% | 12 of 80 | 0% | 7 | under 10 labels · led by Teamtailor at 16% |
| Applicant tracking systems | Talent acquisition | 0% | 29 of 50 | 0% | 1 | under 10 labels · led by Greenhouse at 47% |
Movement
By model
How each model treated Gem across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 4 | 0 | 5 |
| GPT-5.4 mini | 0 | 1 | 2 | 0 | 3 |
| Gemini 3.5 Flash | 6 | 2 | 2 | 0 | 10 |
| Perplexity Sonar | 2 | 1 | 3 | 0 | 6 |
| Grok 4.1 Fast | 3 | 2 | 1 | 0 | 6 |
| Mistral Small | 3 | 0 | 4 | 0 | 7 |
| DeepSeek V4 Flash | 2 | 6 | 3 | 1 | 12 |
| Llama 4 Maverick | 0 | 1 | 5 | 0 | 6 |
| Qwen 3.7 Flash | 2 | 3 | 1 | 0 | 6 |
| Kimi K2 | 2 | 3 | 3 | 0 | 8 |
| GLM 4.7 FlashX | 1 | 3 | 4 | 0 | 8 |
| MiniMax M2.5 | 1 | 4 | 3 | 0 | 8 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“purchasing Gem to act as your recruitment marketing and sourcing engine is the highly popular "best-of-breed" stack for mid-market B2B” Gemini 3.5 Flash · Recruitment marketing · direct prompt · first choice
“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 · Talent intelligence · direct prompt · first choice
“The Best Standalone CRM: Gem ... Gem is the market standard for high-growth B2B companies with outbound-heavy sourcing models.” Gemini 3.5 Flash · Recruiting CRM · paraphrase prompt · first choice
“Outbound, high\u2011volume, want CRM + analytics | Gem | Best\u2011in\u2011class CRM + AI sourcing; strong reporting for ROI.” MiniMax M2.5 · Recruiting CRM · comparative prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Gem — widely praised for workflow, but users repeatedly report inaccurate/outdated email addresses and scraping issues” DeepSeek V4 Flash · Recruiting CRM · negative prompt · soft negative
Named alongside
The products named in the same answers as Gem, over the 197 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Gem was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 164 of the 197 answers that named Gem and are not a share of its labels.
Domains cited
592 of the 592 domain citations in answers naming Gem came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as Gem
Follow Gem
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Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Gem's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Gem, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Gem by email, built from the raw record of the edition. It shows:
- where Gem is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Gem, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at gem.com is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.
Badges
Wins only: a badge exists where Gem is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Gem is among the products AI models recommend first in Recruiting CRM and sourcing this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of September 2026.
Gem is among the products AI models recommend first in Talent intelligence this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of September 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.