HR AI Index
Index Vendors › Fuel50 · September 2026 Edition
6 categories · Ranked

Fuel50

176Judge labels
29First choices
35Negative labels
12 of 12Models named it
6Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
26% in Internal talent marketpl for mid-market buyers
Rank 1 of 129 in the mid-market standingaccepted challenger
4 of 12 models made it the first choice on the direct prompt; 8% of its 36 labels there were negative.
By buyer segmentStrongest at mid-market.
In internal talent marketpl · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Fuel50 for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Internal talent marketplacePerformance and talent management26%1 of 1298%36accepted challenger
Talent intelligencePerformance and talent management4%9 of 770%7under 10 labels · led by Pin at 17%
Skills intelligencePerformance and talent management2%9 of 1628%12accepted challenger
Succession planningPerformance and talent management0%43 of 990%2under 10 labels · led by Lattice at 31%
Learning experience platformsLearning and development0%55 of 80100%1under 10 labels · led by Learn Amp at 28%
People analyticsWorkforce planning and analytics0%45 of 990%1under 10 labels · led by HiBob at 15%

Movement

This is the first edition on this tier, so no move can be computed for Fuel50 yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

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.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.523117
GPT-5.4 mini31004
Gemini 3.5 Flash15107
Perplexity Sonar12115
Grok 4.1 Fast04217
Mistral Small20204
DeepSeek V4 Flash33017
Llama 4 Maverick01203
Qwen 3.7 Flash03014
Kimi K214106
GLM 4.7 FlashX30104
MiniMax M2.501001

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct41 labels13
Paraphrase37 labels11
Comparative41 labels5not counted in share
Budget-constrained24 labels5
Scale-constrained16 labelsNone
Negative17 labels2not counted in share
First choiceAlternativeMentionNegative176 labels in all, every segment counted; 29 of the 36 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the 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.
ProductSame answerTook the first choice insteadHead to head
Gloat138 of 17634Not in the top three
Eightfold AI130 of 17617Not in the top three
Phenom50 of 1760Not in the top three
TalentGuard37 of 17610Not in the top three
Beamery32 of 1760Not in the top three
Workday29 of 1760Not in the top three
Cornerstone OnDemand27 of 1760Not in the top three
Degreed24 of 1762Not in the top three
SAP SuccessFactors24 of 1762Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Fuel50. A fact about retrieval, not a lever on the model.

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

fuel50.comYour site106
gartner.com88
engagedly.com60
g2.com51
hrtechsaas.com49
docebo.com47
recruiterslineup.com46
sprad.io46
guideflow.com42
talentguard.com41

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

What the judge wrote, as written, with how often. The vendor table decides that these count as Fuel50; a claim can dispute any of them.
Fuel50 Ontology 1
Is this your product?

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.

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.