6 categories · RankedFuel50
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Internal talent marketplace | Performance and talent management | 26% | 1 of 128 | 8% | 36 | accepted challenger |
| Talent intelligence | Performance and talent management | 4% | 9 of 77 | 0% | 7 | under 10 labels · led by Pin at 17% |
| Skills intelligence | Performance and talent management | 2% | 9 of 161 | 8% | 12 | accepted challenger |
| Succession planning | Performance and talent management | 0% | 43 of 99 | 0% | 2 | under 10 labels · led by Lattice at 31% |
| Learning experience platforms | Learning and development | 0% | 54 of 79 | 100% | 1 | under 10 labels · led by Learn Amp at 28% |
| People analytics | Workforce planning and analytics | 0% | 45 of 99 | 0% | 1 | under 10 labels · led by HiBob at 15% |
Movement
By model
How each model treated Fuel50 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 | 2 | 3 | 1 | 1 | 7 |
| GPT-5.4 mini | 3 | 1 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 1 | 5 | 1 | 0 | 7 |
| Perplexity Sonar | 1 | 2 | 1 | 1 | 5 |
| Grok 4.1 Fast | 0 | 4 | 2 | 1 | 7 |
| Mistral Small | 2 | 0 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 3 | 3 | 0 | 1 | 7 |
| Llama 4 Maverick | 0 | 1 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 0 | 3 | 0 | 1 | 4 |
| Kimi K2 | 1 | 4 | 1 | 0 | 6 |
| GLM 4.7 FlashX | 3 | 0 | 1 | 0 | 4 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Fuel50 or Phenom - Fuel50, Gloat, and Phenom are credible platforms with real capabilities. These are more approachable than the enterprise-grade options for mid-sized teams.” Claude Haiku 4.5 · Internal talent marketpl · paraphrase prompt · first choice
“Best overall for enterprise — maps employee skills, career paths, and internal mobility, with gap analysis tied to learning evidence.” DeepSeek V4 Flash · Skills intelligence · comparative prompt · first choice
“I'd shortlist TalentGuard ... and Fuel50 (if you want higher-fidelity skills intelligence with proven inference)” DeepSeek V4 Flash · Skills intelligence · direct prompt · first choice
“My top recommendation for a mid‑sized B2B company looking for both external hiring and internal mobility is Fuel50.” GLM 4.7 FlashX · Talent intelligence · paraphrase 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.
“Watch out for enterprise vendors like Gloat, Eightfold AI, Fuel50, and Workday” DeepSeek V4 Flash · Internal talent marketpl · budget prompt · hard negative
“Avoid for tight budgets: Enterprise tools like Gloat, Fuel50, or Workday” Grok 4.1 Fast · Internal talent marketpl · budget prompt · hard negative
“Fuel50 serves SMBs, mid-market, and enterprise businesses, though specific budget-friendly pricing isn't publicly listed.” Claude Haiku 4.5 · Internal talent marketpl · budget prompt · soft negative
“Quote-only enterprise LXPs such as ... Fuel50 ... these often do not publish pricing” Perplexity Sonar · Learning experience plat · negative prompt · soft negative
Named alongside
The products named in the same answers as Fuel50, over the 176 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Fuel50 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 152 of the 176 answers that named Fuel50 and are not a share of its labels.
Domains cited
470 of the 576 domain citations in answers naming Fuel50 came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as Fuel50
Follow Fuel50
Already following? Everything you follow, with a stop for each.
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 Fuel50'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 Fuel50, 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 Fuel50 by email, built from the raw record of the edition. It shows:
- where Fuel50 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 Fuel50, 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 fuel50.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 Fuel50 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
AI models recommend Fuel50 first in Internal talent marketplace 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.