September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › HR › Compensation and total rewards › Compensation benchmarkin › Small business · September 2026 Edition

Compensation benchmarking data for small business buyers

Asked as “salary benchmarking data provider”, and as “compensation survey data”, on behalf of a small B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
32%
Contested · Salary.com CompAnalyst 9%
32Pave09Salary.com CompAnalyst06Bureau of Labor Statistics53others

32% of first choices, contested.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Pave32%0%27endorsed leader
02Salary.com CompAnalyst9%17%24accepted challenger
03Bureau of Labor Statistics6%0%10accepted challenger
04Payscale4%22%23accepted challenger
05Ravio2%0%25accepted challenger
06Comprehensive.io2%0%20accepted challenger
07Culpepper Compensation Surveys2%20%10accepted challenger
08Levels.fyi2%27%11criticized challenger
Show the three products at 0%, ordered by negative rate
11Radford0%83%12criticized challenger
10Mercer Total Remuneration Survey0%77%13criticized challenger
09Glassdoor0%40%10criticized challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All fifteen head-to-head pages: the top six products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
B03
04
05
06
07
08
09
10
R11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Pave32%
02Salary.com CompAnalyst9%
03Bureau of Labor Statistics6%
04Payscale4%
05Ravio2%
06Comprehensive.io2%
07Culpepper Compensation Surveys2%
08Levels.fyi2%
09Glassdoor0%
10Mercer Total Remuneration Survey0%
11Radford0%

What they warned about

One of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Radford
83%
10 of 12 labels negative · 6 of 12 models · 4 hard negative
“What to avoid on a tight budget - Mercer / Radford / Willis Towers Watson” DeepSeek V4 Flash, budget prompt
Mercer Total Remuneration Survey
77%
10 of 13 labels negative · 5 of 12 models · 3 hard negative
“Avoid Enterprise Platforms: Skip heavyweights like Mercer, Willis Towers Watson, or Radford” Qwen 3.7 Flash, budget prompt
Willis Towers Watson
80%
4 of 5 labels negative · 4 of 12 models · 3 hard negative
“Skip heavyweights like Mercer, Willis Towers Watson, or Radford unless you have an HRIS integration budget of $10k+ annually” Qwen 3.7 Flash, budget prompt
Payscale
22%
5 of 23 labels negative · 4 of 12 models · 2 hard negative
“Avoid: Large annual subscriptions from providers like PayScale (~$13,888+/year median for SMBs)” Kimi K2, paraphrase prompt

What they cite

Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.

Sites the answers cite

68 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 1013 links across 311 sites, every framing counted. Ranked by the number of answers carrying the site or page.

vendor site · Ravio43 answers · 110 citations · 11 models
vendor site · Comprehensive25 answers · 38 citations · 10 models
23 answers · 24 citations · 10 models
vendor site · Pin22 answers · 22 citations · 11 models
18 answers · 40 citations · 10 models
vendor site · Salary.com17 answers · 25 citations · 8 models
vendor site · Reddit14 answers · 24 citations · 7 models
vendor site · G213 answers · 21 citations · 9 models
12 answers · 30 citations · 10 models
11 answers · 20 citations · 8 models
vendor site · Pave11 answers · 16 citations · 6 models
vendor site · Payscale11 answers · 16 citations · 7 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “benchmarking providers”, “best salary benchmarking data provider”, “salary benchmarking data provider”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Pave pave.com
Pave 32%, Pave Market Data Lite 2%
34%19127,10028,4237,645$917
Salary.com CompAnalyst salary.com
Salary.com CompAnalyst 9%, Salary.com Compdata Surveys 2%
11%14826031,069,118$1,64270
Bureau of Labor Statistics6%110,000393
SHRM CompAnalyst Market Data shrm.org
SHRM Compensation Data Center 4%, SHRM CompAnalyst Market Data 2%
6%2
Payscale payscale.com4%2099,9002991,408,989$26333
Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics4%
Ravio ravio.com2%1191,9001818,4191
Comprehensive.io comprehensive.io2%605002,0213
BLS Occupational Employment Statistics2%
Carta Total Compensation carta.com2%926014506,905$2,83929

Google's top ten for the three searches hold 25 sites; 5 of them are among the sites the models cited here (comprehensive.io, g2.com, payscale.com, ravio.com, reddit.com). The first result for “benchmarking providers” is thehackettgroup.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best salary benchmarking data provider for a small B2B company?”Paraphrase“Which compensation survey data would you recommend to a small business that sells to other businesses?”Comparative“What are the top benchmarking providers for a small team and how do they differ?”Budget-constrained“What is the best salary benchmarking data provider for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a salary benchmarking data provider. What should we look at?”Negative“Which benchmarking providers should a small business avoid or be cautious about?”
Claude Haiku 4.5Pave
Three alternativesBLS Occupational Employment Statistics, Compease, Salary.com CompAnalyst
Bureau of Labor StatisticsChanged
Two alternativesCompAnalyst, RCReports
Payscale
One alternativeCompease
Pave
Three alternativesBLS Occupational Employment Statistics, Comprehensive.io, Ravio
no first choicenothing named
GPT-5.4 miniSalary.com CompAnalyst
Two alternativesPayscale Ascent, SalaryCube
SHRM Compensation Data CenterChanged
One alternativeBLS wage data
Payscale
One alternativeCarta Total Compensation
against: Option Impact, Radford
Salary.com Compdata Surveys
One alternativePayscale
no first choiceagainst: Benchmark My Plan LLC, BestMark
Gemini 3.5 FlashPave
Six alternativesCarta Total Compensation, Comprehensive.io, Figures, Pavilion GTM Benchmarks, Payscale, Ravio
against: Mercer Total Remuneration Survey, Radford
Carta Total Compensation, PaveChanged
Four alternativesCulpepper Compensation Surveys, Pavilion's GTM Compensation Benchmarks, Payscale, The Bridge Group
against: Mercer Total Remuneration Survey, Radford, Willis Towers Watson
Pave
Three alternativesCarta Total Compensation, Comprehensive.io, Ravio
Pave
Six alternativesBureau of Labor Statistics, Comptool, ERI, Figures, O*NET, Ravio
against: Glassdoor, Indeed, Mercer Total Remuneration Survey, Radford, Salary.com CompAnalyst
Pave
Six alternativesCarta Total Compensation, Comprehensive.io, Figures, Payscale, Ravio, Salary.com CompAnalyst
against: Forrester, Gartner, Glassdoor, Mercer Total Remuneration Survey, Radford, Salary.com CompAnalyst, The Hackett Group
Perplexity SonarPave, Ravio
Three alternativesBLS, Payscale, Salary.com CompAnalyst
Mercer Benchmark Database, SHRM CompAnalyst Market DataChanged
Two alternativesCulpepper’s Sales Compensation Survey, WTW salary surveys
Pave, Ravio
One alternativeMercer Total Remuneration Survey
Bureau of Labor Statistics
Two alternativesComprehensive.io, Pave
against: Payscale, Salary.com CompAnalyst
no first choicenothing named
Grok 4.20Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics, Salary.com CompAnalyst
Two alternativesComprehensive.io, Pave
against: Payscale, Radford, WTW
U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage StatisticsChanged
Five alternativesCompData Surveys, Culpepper Compensation Surveys, Payscale, SHRM Compensation Data Center, Salary.com Free Tools
Geckoboard, SimpleKPI
Three alternativesDatabox, Klipfolio, Zoho Analytics
against: Deloitte, Jellyfish, KPMG, Waydev
Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics
Two alternativesComprehensive.io, Pave Market Data Lite
against: Mercer Total Remuneration Survey
no first choiceagainst: Glassdooragainst: BCG, Bench Accounting, Birdeye, Deloitte, KPMG, McKinsey & Company, PwC, Trustpilot
Mistral SmallBrightmine, Salary.com CompAnalyst
Two alternativesBureau of Labor Statistics, Indeed
Culpepper Compensation Surveys, SHRM Compensation Data CenterChangedSalary.com CompAnalystBureau of Labor Statistics
Three alternativesComprehensive.io, Pave, SalaryExpert
no first choiceagainst: Benchmark / benchmark.co.com, Fortunebusinessinsights.com
DeepSeek V4 FlashComprehensive.io, Pave
Two alternativesBureau of Labor Statistics, Ravio
against: Levels.fyi, Salary.com CompAnalyst
BLS Occupational Employment & Wage StatisticsChanged
Five alternativesCompData Surveys, Culpepper Compensation Surveys, Glassdoor, Mercer MarketPricer, Option Impact
against: Payscale
Databox, Government Tools
Six alternativesCyfe, DX, Geckoboard, LivePlan, PlanGuru, Waydev
against: Jellyfish, Klipfolio, Similarweb
Pave
Five alternativesBureau of Labor Statistics, Comprehensive.io, Payfactors, Ravio, SalaryExpert
against: Levels.fyi, Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watson
Pave
Two alternativesBLS OEWS, Ravio
against: Culpepper Compensation Surveys, Glassdoor, Korn Ferry Pay, Levels.fyi, Mercer Total Remuneration Survey, Radford, WTW
against: Benchmark / benchmark.co.com, MarketResearch.com, ResearchandMarkets.com, Transparency Market Research
Llama 4 Maverickno first choiceno first choiceHeldno first choicePave
Four alternativesBLS OEWS, Comprehensive.io, Ravio, SalaryExpert
no first choicenothing named
Qwen 3.7 FlashLevels.fyi, Pave
Five alternativesCompensation-IQ, Payscale, Ravio, Robert Half Salary Guide, Salary.com CompAnalyst
against: Korn Ferry Pay, Mercer Total Remuneration Survey
Salary.com CompAnalystChanged
Three alternativesMercer MarketPricer, Payscale, U.S. Bureau of Labor Statistics
Databox
Three alternativesKlipfolio, PlanGuru, Whatagraph
Pave
Three alternativesBLS OEWS, Ravio, Salary.com CompAnalyst
against: Mercer Total Remuneration Survey, Radford, Willis Towers Watson
no first choice
Three alternativesMercer"s MarketPricer, Pave, Ravio
against: Dun & Bradstreet, Seek Capital, The Better Business Bureau
Kimi K2Payscale
Five alternativesBLS, Glassdoor, Mercer MarketPricer, Pave, Ravio
against: Culpepper Compensation Surveys, Mercer Total Remuneration Survey, Radford
Bureau of Labor Statistics (BLS) OEWSChanged
Four alternativesCompData Surveys, Culpepper Compensation Surveys, Glassdoor, Mercer MarketPricer
against: Korn Ferry Pay, Payscale, Willis Towers Watson
Databox
Three alternativesClientCues, Klipfolio, Semrush
Pave Market Data Lite
Three alternativesBLS Occupational Employment Statistics, Comprehensive.io, SalaryExpert
no first choiceagainst: BizMiner, IBISWorld, Sageworks
GLM 4.7 FlashXPave
Three alternativesComprehensive.io, LaborIQ, SalaryCube
SalesCookie, SyncGTMChanged
Six alternativesCompTool Salary Survey Marketplace, Mercer Salary Surveys, O*NET Online, Pave Market Data Lite, SHRM Compensation Data Center, Willis Towers Watson (WTW) Salary Surveys
against: Pearl Meyer Compensation Surveys
Pave, Salary.com CompAnalystBLS Occupational Employment Statistics, CheckSalary.us
Five alternativesPave, Payfactors, Playroll Salary Benchmarking Tool, Ravio, SalaryExpert
no first choiceagainst: 451 Research, Everest Group, Forrester, Gartner, IDC
MiniMax M2.5Pave, Payscale
Three alternativesBLS Occupational Employment Statistics, Figures, Salary.com CompAnalyst
Salary.com Industry Compensation DataChanged
Three alternativesMercer's Remuneration Survey for SMEs, NFIB (National Federation of Independent Business) Survey, WTW (Willis Towers Watson) Salary Surveys
Pave
Two alternativesRavio, Salary.com CompAnalyst
BLS OEWS
One alternativeGlassdoor
no first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 18:49yes179 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:10yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-17 19:11yes1019 s
Direct recommendationPerplexity Sonarsonar2026-09-17 20:13yes205 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 19:26yes3320 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-17 19:17yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 20:13yes1215 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:55yes55 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 21:30yes1544 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:23yes1425 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 21:03yes2721 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:32yes1728 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:43yes99 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:22yes26 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-17 18:29yes1926 s
ParaphrasePerplexity Sonarsonar2026-09-17 20:25yes206 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 20:39yes3618 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-17 21:23yes55 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 20:03yes911 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 20:04yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 20:44yes1565 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:08yes2751 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 18:18yes1870 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:04yes545 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 20:42yes1812 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:31no06 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-17 20:00yes1423 s
ComparativePerplexity Sonarsonar2026-09-17 20:33yes2010 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 20:09yes3121 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-17 19:08yes811 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 20:52yes2852 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:58yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:41yes945 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:28yes2026 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:08yes20100 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:24yes936 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 21:34yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 21:20yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 18:38yes1530 s
Budget constrainedPerplexity Sonarsonar2026-09-17 21:14yes206 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 18:40yes3417 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 21:42yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 18:18yes1716 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 21:25yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 18:25yes516 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 18:03yes917 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 21:41yes2850 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 19:14yes514 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 18:12no08 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 18:47no09 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 21:55yes1347 s
Scale constrainedPerplexity Sonarsonar2026-09-17 18:03yes208 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 19:54yes1412 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 21:46no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 18:00yes1318 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:28yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:51yes831 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 19:50yes1032 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:15yes1451 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:14yes1021 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 18:09yes2813 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:59yes47 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-17 18:49yes1020 s
Negative framingPerplexity Sonarsonar2026-09-17 20:41yes209 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 19:48yes3318 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-17 18:17yes107 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 20:12yes3025 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 20:42yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 18:13yes1044 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:18yes2446 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 20:54yes2885 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 19:01yes1936 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Carta Total Comp read as Carta Total Compensation
CompData read as CompData Surveys
Comprehensive read as Comprehensive.io
Culpepper read as Culpepper Compensation Surveys
Culpepper Surveys read as Culpepper Compensation Surveys
Korn Ferry read as Korn Ferry Pay
McKinsey read as McKinsey & Company
Mercer read as Mercer Total Remuneration Survey
Robert Half read as Robert Half Salary Guide
Salary.com read as Salary.com CompAnalyst
Salary.com (CompAnalyst) read as Salary.com CompAnalyst
Salary.com's Benchmark Pro read as Salary.com Compdata Surveys
Salary.com's CompAnalyst read as Salary.com CompAnalyst
Unresolved, counted raw
ATO small-business benchmarks
Allstacks
Altura Consulting Group
Australian Bureau of Statistics
BLS wage data
Bench Accounting (bench.co)
Benchmark My Plan LLC
BestMark
CheckSalary.us
ClientCues
Clutch
CompBenchmark
CompTool Salary Survey Marketplace
Culpepper’s Sales Compensation Survey
Cyfe
DealStats
Fortunebusinessinsights.com
Glassdoor for Employers
Government Tools (ATO, BDC, SizeUp)
IRS Statistics of Income
Indeed Salary Search
Indeed's Hiring Insights
Knowledgelib
Mercer Salary Surveys (imercer.com)
Mercer"s MarketPricer
Mercer's Remuneration Survey for SMEs
NFIB (National Federation of Independent Business) Survey
ONet
Pavilion's GTM Compensation Benchmarks (Annual Report)
Payscale free tools
Pearl Meyer Compensation Surveys
Playing
Playroll Salary Benchmarking Tool
Playroll's Free Salary Benchmarking Tool
ProfitCents / Fathom
RCReports
RMA (Risk Management Association)
RMA's Annual Statement Studies
RankedVendors
Ravio’s Buyer’s Guide
ReferenceUSA
SBA Size Standards & Industry Data
SHRM Benchmark Job Report
Sageworks (now part of Abrigo)
Salary.com Free Tools
Salary.com Industry Compensation Data
Salary.com Wizard
Seek Capital
Swarmia
SyncGTM
The Better Business Bureau (BBB)
Typo
WTW (Willis Towers Watson) Salary Surveys
WTW salary surveys
Whatagraph
Willis Towers Watson (WTW) Salary Surveys
ZipRecruiter Salary Calculator
Discontinued, still offered
No shut-down product was recommended here.
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