Finance AI Index
Index Spend and procurement Strategic sourcing › Small business September 2026 Edition

Strategic sourcing for small business buyers

Asked as “strategic sourcing software”, and as “e-sourcing and RFP tool”, on behalf of a small B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing
Clear leader
45% of first choices, clear leader.

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.

01The 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
01Tradogram45%0%31endorsed leader
02AuraVMS11%20%10accepted challenger
03oboloo9%0%11accepted challenger
04Procurify4%11%19accepted challenger
Show the eight products at 0%, ordered by negative rate
12SAP Ariba0%96%28criticized challenger
11Coupa0%88%17criticized challenger
10LinkedIn Recruiter0%80%10criticized challenger
05Precoro0%18%22accepted challenger
09Loxo0%10%10accepted challenger
08Gem0%9%11accepted challenger
07Manatal0%8%12accepted challenger
06Juicebox0%0%10accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

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
03
04
05
06
07
08
09
10
11
12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Tradogram45%
02AuraVMS11%
03oboloo9%
04Procurify4%
05Precoro0%
06Juicebox0%
07Manatal0%
08Gem0%
09Loxo0%
10LinkedIn Recruiter0%
11Coupa0%
12SAP Ariba0%

02What they warned about

Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and GLM 4.7 FlashX 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.
SAP Ariba
96%
27 of 28 labels negative · 11 of 12 models · 13 hard negative
“**What to Avoid:** Heavy ERP systems (like SAP Ariba, Oracle NetSuite, or Coupa) when you are still doing manual spreadsheets.” Qwen 3.7 Flash, negative prompt
Coupa
88%
15 of 17 labels negative · 9 of 12 models · 9 hard negative
“Enterprise tools like Coupa, GEP SMART, or Workday are powerful but start at $2,500+/month with long implementations—unsuitable for small B2B.” Grok 4.1 Fast, direct prompt
LinkedIn Recruiter
80%
8 of 10 labels negative · 5 of 12 models · 2 hard negative
“Tools like LinkedIn Recruiter Corporate ($10,800–$15,000 per seat annually) and hireEZ ... these are overkill and can drain resources” Mistral Small, negative prompt
Alibaba
100%
4 of 4 labels negative · 4 of 12 models · 1 hard negative
“Platforms/Tools to **Avoid or Be Highly Cautious With**: 1. **Alibaba.com (especially for beginners)**” Grok 4.1 Fast, negative prompt

03What they cite

Citations exist only for the models that return a source list: twelve of the twelve in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

63 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. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 824 links across 251 sites, every framing counted. Ranked by the number of answers carrying the site or page.

29 answers · 36 citations · 10 models
26 answers · 54 citations · 11 models
22 answers · 25 citations · 9 models
vendor site · Spendflo21 answers · 22 citations · 10 models
21 answers · 21 citations · 10 models
vendor site · AuraVMS18 answers · 28 citations · 8 models
17 answers · 19 citations · 10 models
15 answers · 18 citations · 9 models
vendor site · Tradogram15 answers · 18 citations · 7 models
12 answers · 17 citations · 7 models
12 answers · 15 citations · 8 models
12 answers · 12 citations · 10 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.

04How 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.
ModelDirect“What is the best strategic sourcing software for a small B2B company?”Paraphrase“Which e-sourcing and RFP tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top sourcing tools for a small team and how do they differ?”Budget-constrained“What is the best strategic sourcing software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a strategic sourcing software. What should we look at?”Negative“Which sourcing tools should a small business avoid or be cautious about?”
Claude Haiku 4.5no first choiceagainst: SAP AribaProkuria, SiftHubChanged
Five alternativesAutoRFP.ai, Breeze Docs, DeepRFP, Loopio, PowerRFP
Noon
Four alternativesGem, Humanly, Manatal, Pin
Tradogram
Three alternativesPrecoro, Procurify, SourceRFX
no first choicenothing named
GPT-5.4 miniProcurify
One alternativePrecoro
against: Corcentric, Coupa, GEP SMART, SAP Ariba
ResponsiveChangedagainst: Coupa, JaggaerJuicebox, Manatal
Six alternativesFetcher, Gem, Greenhouse, HireEZ, LinkedIn Recruiter Lite / Recruiter, SeekOut
Procurify
Two alternativesPrecoro, Sourcing Force
against: Ivalua, SAP Ariba
no first choicenothing named
Gemini 3.5 FlashAuraVMS
Four alternativesPrecoro, ProcFlow, Spendflo, Tradogram
against: Coupa, Jaggaer, Procurify, SAP Ariba
AuraVMSHeld
Three alternativesMarket Dojo, Procurify, SiftHub
against: Coupa, Loopio, SAP Ariba
no first choice
Six alternativesFetcher, Gem, HireEZ, Juicebox, LinkedIn Recruiter, Manatal
AuraVMS
Five alternativesAirtable, Market Dojo, Procuman, Softr, Tradogram
against: Coupa, GEP, Precoro, SAP Ariba
AuraVMS
Five alternativesLoopio, Precoro, Quotable AI, Responsive, Tradogram
against: Coupa, Ivalua, Jaggaer, SAP Ariba
against: Alibaba, Coupa, DHgate, Oracle Taleo, SAP Ariba, Workday Recruiting
Perplexity SonarTradogram
One alternativeProcurify
against: SAP Ariba
AuraVMSChanged
Three alternativesEC eSourcing, Market Dojo, oboloo
against: Procol
Pin
Five alternativesFetcher, HireEZ, Juicebox, Loxo, Manatal
against: LinkedIn Recruiter
Tradogram
One alternativeProcurementExpress.com
against: Zapro
no first choiceagainst: Apollo.io, Capital IQ, Coupa, LinkedIn Recruiter, PitchBook, SAP Ariba, SourceScrub, Workday P2P/T&E, ZoomInfo
Grok 4.1 FastTradogram
Two alternativesPrecoro, Procurify
against: AuraVMS, Coupa, GEP SMART, SAP Ariba, Workday
PandaDocChanged
Five alternatives1up, DeepRFP, Market Dojo, Proposify, Tradogram
against: Loopio, Responsive
Manatal
Four alternatives100Hires, ContactOut, Juicebox, Loxo
Tradogram
Two alternativesSourceRFX, oboloo
against: Precoro, Procurify, SAP Ariba
Tradogram
Two alternativesKodiak Hub, Precoro
against: SAP Ariba
against: 1688.com, AliExpress, Alibaba, DHgate, Global Sources, Made-in-China, SAP Ariba, Shein, Temu
Mistral SmallTradogram
One alternativeProcureDesk
against: SAP Ariba
TradogramHeld
Two alternativesDeepRFP, oboloo
Gem
Seven alternativesContactOut, HireEZ, Humanly, Juicebox, Loxo, Manatal, Zoho Recruit
against: LinkedIn Recruiter
Tradogram
Three alternativesProcol, ProcurePort, Zapro
no first choiceagainst: Coupa, HireEZ, LinkedIn Recruiter, SAP Ariba
DeepSeek V4 FlashTradogram
Two alternativesPrecoro, Procurify
against: Coupa, GEP SMART, Ivalua, Jaggaer, SAP Ariba
PandaDocChanged
Four alternativesBreeze Docs, DeepRFP, Market Dojo, Tradogram
against: AutoRFP.ai, Loopio, Responsive
Juicebox
Four alternativesGem, Loxo, SeekOut, Wellfound
against: LinkedIn Recruiter Lite / Recruiter, Manatal
Tradogram
Two alternativesPrecoro, Ramp
against: AuraVMS
no first choice
Two alternativesPrecoro, Procurify
against: Oracle, SAP Ariba
against: Coupa, Fetcher, Gem, LinkedIn Recruiter, Loxo, SAP Ariba
Llama 4 Maverickno first choiceTradogramChanged
One alternativeoboloo
no first choiceProcol, ProcurePort, Tradogram, Zaprono first choiceagainst: Underdog.io
Qwen 3.7 FlashKissflow Procurement
Two alternativesProcurify, Spendflo
against: SAP Ariba
LoopioChanged
Three alternativesPandaDoc, RFPO, Scanadu
100Hires
Four alternativesGem, Manatal, Pin, SeekOut
Spendwise
Three alternativesSourceRFX, Tradogram, Zoho Creator
DigiChain, Jaggaer, Scanbase, Zyleragainst: SAP Ariba, SAP Coupaagainst: Coupa, Fiverr Enterprise, Hunter.io, Oracle NetSuite, SAP Ariba, Upwork, ZoomEye
Kimi K2oboloo
One alternativePrecoro
against: Procol
TradogramChanged
Four alternativesAuraVMS, Bidara, PandaDoc, Prokuria
Loxo
Four alternativesContactOut, Fetcher, Juicebox, Manatal
Tradogram, oboloo
One alternativeProcurePort
against: Precoro
no first choiceagainst: SAP Aribaagainst: Alibaba, Coupa, Made-in-China, SAP Ariba
GLM 4.7 FlashXTradogram
Two alternativesCatapult, Precoro
against: SAP Ariba
obolooChanged
Six alternativesBidara, Breeze Docs, DeepRFP, Market Dojo, Nusii, PandaDoc
Gem, Loxo
Five alternativesJuicebox, Lusha, Manatal, MindHunt AI, SeekOut
Tradogram
Four alternativesPrecoro, ProcureDesk, Procurify, Ramp
against: ControlHub, ProcurementExpress.com, Spendwise
no first choiceagainst: HireEZ, LinkedIn Recruiter, SeekOut
MiniMax M2.5Tradogram
Two alternativesPrecoro, Procurify
TradogramHeld
Five alternativesLoopio, Market Dojo, Precoro, Responsive, oboloo
no first choiceagainst: Coupa, LinkedIn Recruiter, SAP AribaTradogram, oboloo
One alternativeVendorful
against: BuyingStation, Precoro
Tradogram
Three alternativesProcol, ProcurePort, SourceRFX
against: SAP Ariba
against: Alibaba, Global Sources, LinkedIn Recruiter, SAP SuccessFactors, Workday
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 17:54no05 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 19:33yes46 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-17 20:17yes1622 s
Direct recommendationPerplexity Sonarsonar2026-09-17 19:04yes207 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 20:55yes3318 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-17 18:19yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 19:53yes1619 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 20:52yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:15no028 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:49yes2328 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:25yes15104 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 21:08yes1031 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 18:46yes149 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:56yes39 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-17 21:56yes949 s
ParaphrasePerplexity Sonarsonar2026-09-17 20:18yes205 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 20:41yes3419 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-17 19:15yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 18:45yes916 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 20:24yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 20:52no026 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-17 19:57yes1423 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:18yes2789 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:57yes1051 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:26yes1810 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 19:23yes78 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-17 19:29yes919 s
ComparativePerplexity Sonarsonar2026-09-17 19:25yes188 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 19:49yes2214 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-17 18:51yes810 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 19:30yes2027 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:03yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 18:21yes535 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-17 18:10yes822 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 18:34yes1637 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:13yes2039 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:40yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 19:03yes26 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 21:53yes2421 s
Budget constrainedPerplexity Sonarsonar2026-09-17 19:39yes206 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 20:01yes3618 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 18:24yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 18:48yes1817 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:04yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 21:03yes1555 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 18:59yes2141 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:14yes1349 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:48yes920 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:24no07 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:48no08 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 18:39yes2025 s
Scale constrainedPerplexity Sonarsonar2026-09-17 19:13yes207 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 20:55yes1413 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 18:47no08 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 19:58yes1821 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 18:33yes54 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:04no035 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:43yes1427 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:13no06 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:50yes1429 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:05yes1811 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 20:12yes56 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-17 18:21yes1124 s
Negative framingPerplexity Sonarsonar2026-09-17 19:06yes206 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-17 20:36yes3917 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-17 20:53yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-17 19:55yes2247 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 18:54yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:56no032 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-17 19:02yes2753 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 19:53yes13113 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:31yes1341 s

Normalization in this category

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

Category-scoped readings
Alibaba.com read as Alibaba
Ariba read as SAP Ariba
Ariba (SAP) read as SAP Ariba
Made-in-China.com read as Made-in-China
Unresolved, counted raw
1up
1up.ai
AsiaInspection
BidSparq
BravoSolution
Breezy HR
BreezyHR
CJdropshipping
Catapult
Data Miner
DigiChain
DocuSign
EC eSourcing
Faire
Google X-Ray
Homerun
Hunter.io
JingSourcing
LinkedIn
LinkedIn Basic or Premium
LinkedIn Sales Navigator Lite
Nusii
Oracle Taleo
POCsheet
PitchBook
PowerRFP
ProcFlow
Proposify
Quotable AI
RFPO (Formerly RFPGO)
Recruiterflow
SAP Coupa
Scanadu
Scanbase
Shein
Snov.io
SourceScrub
Sourcing Force
SpendMap
SupplyMe
Syncee
Temu
Text Blaze
Underdog.io
Wellfound
Wholesale Central
Wonnda
Workable
Zoho Procurement
Zoho Recruit
ZoomEye
Zyler
Discontinued, still offered
No shut-down product was recommended here.
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