Index › Finance › Spend and procurement › Strategic sourcing › Small business · November 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. 64 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
17%
Contested · Precoro 16%
17Prokuria16Precoro12oboloo55others
17% of first choices, contested.
Since October 2026↗new leaderNew leader since October 2026: Prokuria (17%) replaces Tradogram (31% then, 8% now), 9 points clear, inside the 10-point floor.Prokuria leads at 17%, replacing Tradogram, which led at 31% and stands at 8% now: 9 points clear, inside the floor, so the swap reads as unsettled.
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.
Small business
Prokuria17%Contested↗new leaderNew leader since October 2026: Prokuria (17%) replaces Tradogram (31% then, 8% now), 9 points clear, inside the 10-point floor.This pageMid-market
oboloo14%Contested▼−1Since October 2026: 15% → 14%, −1 point. Inside the 10-point floor: within noise.Standing →Enterprise
Coupa31%Contested↗new leaderNew leader since October 2026: Coupa (31%) replaces SAP Ariba (36% then, 31% now), 0 points clear, inside the 10-point floor.Standing →
Prokuria17%Contested↗new leaderNew leader since October 2026: Prokuria (17%) replaces Tradogram (31% then, 8% now), 9 points clear, inside the 10-point floor.This pageMid-marketoboloo14%Contested▼−1Since October 2026: 15% → 14%, −1 point. Inside the 10-point floor: within noise.Standing →EnterpriseCoupa31%Contested↗new leaderNew leader since October 2026: Coupa (31%) replaces SAP Ariba (36% then, 31% now), 0 points clear, inside the 10-point floor.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Prokuria17%0%21accepted challenger▲+15Since October 2026: 2% → 17%, +15 points. Past the 10-point floor: movement.2% → 17%
Prokuria17%0%21accepted challenger▲+15Since October 2026: 2% → 17%, +15 points. Past the 10-point floor: movement.2% → 17%02
Precoro16%14%37accepted challenger▲+5Since October 2026: 11% → 16%, +5 points. Inside the 10-point floor: within noise.11% → 16%
Precoro16%14%37accepted challenger▲+5Since October 2026: 11% → 16%, +5 points. Inside the 10-point floor: within noise.11% → 16%03oboloo12%0%16accepted challenger▲+1Since October 2026: 11% → 12%, +1 point. Inside the 10-point floor: within noise.11% → 12%
oboloo12%0%16accepted challenger▲+1Since October 2026: 11% → 12%, +1 point. Inside the 10-point floor: within noise.11% → 12%04
Tradogram8%6%18accepted challenger▼−23Since October 2026: 31% → 8%, −23 points. Past the 10-point floor: movement.31% → 8%
Tradogram8%6%18accepted challenger▼−23Since October 2026: 31% → 8%, −23 points. Past the 10-point floor: movement.31% → 8%05
Market Dojo8%0%14accepted challenger▼−1Since October 2026: 9% → 8%, −1 point. Inside the 10-point floor: within noise.9% → 8%
Market Dojo8%0%14accepted challenger▼−1Since October 2026: 9% → 8%, −1 point. Inside the 10-point floor: within noise.9% → 8%06
AuraVMS3%0%14accepted challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 10-point floor: within noise.2% → 3%
AuraVMS3%0%14accepted challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 10-point floor: within noise.2% → 3%07
Procurify2%0%14accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 10-point floor: within noise.4% → 2%
Procurify2%0%14accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 10-point floor: within noise.4% → 2%Show the eleven products at 0%, ordered by negative rate
17Coupa0%89%28criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Coupa0%89%28criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%16
Jaggaer0%85%20criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Jaggaer0%85%20criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%18
SAP Ariba0%84%32criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SAP Ariba0%84%32criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%15
Ivalua0%80%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Ivalua0%80%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%14
GEP SMART0%79%14criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
GEP SMART0%79%14criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%13
LinkedIn Recruiter0%38%16criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
LinkedIn Recruiter0%38%16criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%12
HireEZ0%30%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
HireEZ0%30%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%09
SeekOut0%14%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SeekOut0%14%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%11
Gem0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Gem0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%10
Team Procure0%9%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Team Procure0%9%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%08
Juicebox0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Juicebox0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
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 twenty-eight head-to-head pages: the top eight products, each against each
oboloo vs Procurifyoboloo vs Ivaluaoboloo vs Precorooboloo vs CoupaProkuria vs Market DojoProkuria vs GEP SMARTProkuria vs ProcurifyProkuria vs IvaluaProkuria vs PrecoroProkuria vs CoupaMarket Dojo vs GEP SMARTMarket Dojo vs ProcurifyMarket Dojo vs IvaluaMarket Dojo vs PrecoroMarket Dojo vs CoupaGEP SMART vs ProcurifyGEP SMART vs IvaluaGEP SMART vs PrecoroGEP SMART vs CoupaProcurify vs IvaluaProcurify vs PrecoroProcurify vs CoupaIvalua vs PrecoroIvalua vs CoupaPrecoro vs Coupa
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 →
010203040506070809101112131415161718Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Prokuria17%
Prokuria17%02Precoro16%
Precoro16%03oboloo12%
oboloo12%04Tradogram8%
Tradogram8%05Market Dojo8%
Market Dojo8%06AuraVMS3%
AuraVMS3%07Procurify2%
Procurify2%08Juicebox0%
Juicebox0%09SeekOut0%
SeekOut0%10Team Procure0%
Team Procure0%11Gem0%
Gem0%12HireEZ0%
HireEZ0%13LinkedIn Recruiter0%
LinkedIn Recruiter0%14GEP SMART0%
GEP SMART0%15Ivalua0%
Ivalua0%16Jaggaer0%
Jaggaer0%17Coupa0%
Coupa0%18SAP Ariba0%
SAP Ariba0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B 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 Ariba84%
27 of 32 labels negative · 12 of 14 models · 18 hard negative
“Enterprise-level strategic sourcing and procure-to-pay (P2P) suites like SAP Ariba, Coupa, or GEP SMART, as they are complex and may be out of the question for small businesses.” Llama 4 Maverick, negative prompt
Coupa89%
25 of 28 labels negative · 12 of 14 models · 17 hard negative
“Legacy Enterprise Suites (Avoid for now): Solutions like *SAP Ariba*, *Coupa*, or *Jaggaer* are generally over-engineered, expensive, and overly complex” Gemini 3.5 Flash, scale prompt
Jaggaer85%
17 of 20 labels negative · 10 of 14 models · 14 hard negative
“Legacy Enterprise Suites (Avoid for now): Solutions like *SAP Ariba*, *Coupa*, or *Jaggaer* are generally over-engineered, expensive, and overly complex” Gemini 3.5 Flash, scale prompt
GEP SMART79%
11 of 14 labels negative · 8 of 14 models · 8 hard negative
“enterprise-level strategic sourcing and procure-to-pay (P2P) suites like SAP Ariba, Coupa, or GEP SMART are out of the question” Muse Glimmer 30B, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 778 links across 240 sites, every framing counted. Ranked by the number of answers carrying the site or page. 19 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
39 answers · 60 citations · 11 models
vendor site · G238 answers · 57 citations · 13 models
vendor site · Sourceforge35 answers · 57 citations · 10 models
25 answers · 26 citations · 11 models
vendor site · AuraVMS22 answers · 41 citations · 10 models
vendor site · GetApp22 answers · 29 citations · 10 models
publisher (Gane)11 answers · 16 citations · 8 models
vendor site · Precoro9 answers · 13 citations · 6 models
vendor site · Pin8 answers · 15 citations · 7 models
vendor site · Capterra8 answers · 11 citations · 4 models
vendor site · oboloo7 answers · 10 citations · 5 models
vendor site · Leonar7 answers · 7 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.
26 answers · 11 models
25 answers · 11 models
21 answers · 10 models
20 answers · 10 models
19 answers · 9 models
14 answers · 8 models
11 answers · 8 models
11 answers · 6 models
10 answers · 10 models
8 answers · 8 models
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 “best strategic sourcing software”, “sourcing tools”, “strategic sourcing software”. 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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days |
|---|---|---|---|---|---|---|---|
| Prokuria prokuria.com | 17% | 46 | |||||
| Precoro precoro.com | 16% | 341 | 1,000 | 3 | 82,966 | 86 | |
| oboloo oboloo.com | 12% | 50 | 20 | 0 | 11,787 | ||
| Tradogram tradogram.com | 8% | 124 | 880 | 4 | 208,129 | 1 | |
| Market Dojo marketdojo.com | 8% | 43 | 260 | 8 | 261 | $121 | 3 |
| Breeze Docs breezedocs.ai | 6% | 6 | |||||
| AuraVMS auravms.com | 3% | 29 | 10 | 0 | 206 | ||
| Responsive responsive.io | 3% | 15 | 12,100 | 210,141 | 37,620 | 16 | |
| Spendwise spendwise.com | 3% | 22 | 720 | 3 | 401 | 2 | |
| Procurify procurify.com | 2% | 278 | 4,400 | 43 | 62,225 | $282 | 14 |
Google's top ten for the three searches hold 20 sites; 1 of them are among the sites the models cited here (pin.com). The first result for “best strategic sourcing software” is procurementmag.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
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.
ShowHideModelDirect“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 4.5TradogramAutoRFP.ai, Inventive AIChangedPinagainst: WorkableSpendwise, oboloono first choiceagainst: Alibaba, Global Sources, Oracle Fusion Cloud Procurement
Two alternatives
Precoro, ProcolTwo alternatives
DeepRFP, PowerRFPThree alternatives
Fetcher, Loxo, ManatalThree alternatives
Fraxion, Procurify, SourceRFXGPT-5.4 miniPrecoroagainst: Coupa, Ivalua, SAP Ariba, StampliPrecoro, ResponsiveChangedLinkedIn RecruiterTradogramno first choicenothing named
One alternative
ProcurifyTwo alternatives
Loopio, Upland QvidianSix alternatives
100Hires, Ceipal, HireEZ, JazzHR, SeekOut, TeamtailorOne alternative
PrecoroGemini 3.5 FlashMarket Dojoagainst: Coupa, Jaggaer, SAP AribaMarket DojoHeldJuiceboxDeepStream, Market Dojoagainst: Coupa, GEP SMART, SAP Aribano first choiceagainst: Coupa, Jaggaer, SAP Aribaagainst: Alibaba, Beamery, Coupa, IndiaMART, Jaggaer, LinkedIn Recruiter, Made-in-China, Oberlo, SAP Ariba, SaleHoo, SeekOut, Worldwide Brands
Four alternatives
AuraVMS, Precoro, ProcurePort, TropicEight alternatives
Arphie, AuraVMS, AutoRFP.ai, Loopio, PandaDoc, Proposalify, Responsive, TradogramSix alternatives
ContactOut, HireEZ, LinkedIn Recruiter, Loxo, Lusha, SeekOutTwo alternatives
Precoro, TradogramFive alternatives
Airbase, Procurify, Tropic, Vendr, ZipPerplexity SonarPrecoroagainst: Coupa, Ivalua, SAP AribaBreeze DocsChangedJuiceboxMarket Dojoagainst: Coupa, Ivalua, Jaggaer, SAP Aribano first choiceagainst: Alibaba, Coupa, DHgate, GEP SMART, Jaggaer, Made-in-China, SAP Ariba, Supplier.io, ThomasNet
Three alternatives
Prokuria, Team Procure, TradogramTwo alternatives
PowerRFP, ProposifyEight alternatives
Fetcher, Gem, HireEZ, LinkedIn Recruiter, Loxo, Manatal, SeekOut, WorkableTwo alternatives
Prokuria, TYASuite ProcurementGrok 4.20Precoroagainst: Coupa, Jaggaer, SAP AribaobolooChangedJuicebox, Loxoobolooagainst: Coupa, SAP AribaProkuriaagainst: Coupa, Ivalua, Jaggaer, SAP Aribaagainst: Alibaba, Etsy, Global Sources, Made-in-China
Two alternatives
Market Dojo, ProcurifyFour alternatives
Acquirell, Breeze, Precoro, VendorfulFour alternatives
Gem, HireEZ, LinkedIn Recruiter, SeekOutFour alternatives
Acquirell, Prokuria, Sourcing Force, TradogramEight alternatives
Precoro, Procurify, Responsive, Spendflo, TYASuite, Team Procure, Tropic, obolooMistral SmallPrecoro, ProkuriaBreeze Docs, eBuyerAssist PlatformChangedno first choiceagainst: Indeed Smart Sourcing, LinkedIn RecruiterPrecoro, Prokuriano first choiceagainst: Coupa, Jaggaer, SAP Ariba
Two alternatives
SAP Ariba, Team ProcureTwo alternatives
AuraVMS, Better ProposalsSix alternatives
Gem, HireEZ, Manatal, SeekOut, Wellfound, WorkableTwo alternatives
P3Source, Team ProcureDeepSeek V4 FlashProkuriaagainst: Coupa, GEP SMART, Ivalua, Jaggaer, SAP AribaPandaDoc, Responsive, eBuyerAssistChangedJazzHRagainst: HireEZProkuriaagainst: Coupa, Ivalua, Jaggaer, Precoro, SAP Ariba, Team ProcureFairmarkit, Precoro, Tradogramagainst: Coupa, GEP SMART, Ivalua, Jaggaer, SAP Aribaagainst: Akeneo PIM, Alibaba, Coupa, GEP SMART, Gem, Global Sources, Greenhouse, Ivalua, Jaggaer, Lever, Made-in-China, OpenMage, Oracle Fusion Cloud Procurement, SAP Ariba, SeekOut, ZoomInfo, Zycus
Three alternatives
Market Dojo, Precoro, ProcurifyThree alternatives
AuraVMS, Loopio, PrecoroSix alternatives
Breezy HR, Fetcher, LinkedIn Recruiter, Manatal, SeekOut, WorkableThree alternatives
P3Source, SourceRFX, obolooThree alternatives
AuraVMS, Keelvar, ProcurifyLlama 4 Maverickno first choiceno first choiceHeld100Hiresno first choiceno first choiceagainst: Coupa, GEP SMART, Jaggaer, SAP Ariba
Two alternatives
CVViZ, ManatalQwen 3.7 FlashPrecoroagainst: SAP AribaAuraVMS, LoopioChangedagainst: ResponsiveNoon, PinTradogramagainst: Coupa, SAP Aribano first choiceagainst: Oracle Fusion Cloud Procurement, SAPagainst: Alibaba, Coupa, GEP SMART, Global Sources, Ivalua, Made-in-China, SAP Ariba
Three alternatives
LightSource, Procol, obolooTwo alternatives
Breeze Docs, Curtis FitchFour alternatives
Fetcher, Gem, HireEZ, LinkedIn RecruiterTwo alternatives
Precoro, ProkuriaKimi K2ProkuriaobolooChangedagainst: FairmarkitApollo.io, ContactOut, SeekOutagainst: HireEZ, LinkedIn RecruiterProkur.io, Prokuriaagainst: Coupa, Ivalua, Jaggaer, Precoro, SAP AribaAuraVMSagainst: Precoroagainst: AliExpress, Alibaba, Coupa, Oracle Fusion Cloud Procurement, SAP Ariba
Four alternatives
Precoro, Procol, Procurify, obolooThree alternatives
Breeze Docs, BusinessBid, eBuyerAssist PlatformThree alternatives
Fetcher, Gem, JuiceboxTwo alternatives
TYASuite Procurement, TradogramTwo alternatives
Prokuria, Team ProcureGLM 4.7 FlashXProkuria, TYASuite ProcurementTradogramChangedJuiceboxagainst: Indeed Smart Sourcing, Leoforce / Beamery, ManatalProkuria, SpendwiseProkuriaagainst: Oracle Fusion Cloud Procurement, SAP Aribaagainst: Alibaba, Coupa, GEP SMART, Global Sources, Jaggaer, Made‑in‑China, SAP Ariba
Two alternatives
Market Dojo, PrecoroFive alternatives
AuraVMS, Loopio, Market Dojo, Precoro, eBuyerAssist PlatformFive alternatives
100Hires, CVViZ, LinkedIn Recruiter, Pin, SeekOutTwo alternatives
InstaSupply, PrecoroThree alternatives
GEP SMART, TYASuite Procurement, TradogramMiniMax M2.5PrecoroBreeze Docs, obolooChangedJuicebox, LinkedIn Premiumobolooagainst: PrecoroProkuriaagainst: Coupa, GEP SMART, Ivaluaagainst: Coupa, GEP SMART, Ivalua, Jaggaer, LinkedIn Recruiter, SAP Ariba
Three alternatives
Procol, Procurify, obolooTwo alternatives
Loopio, PandaDocThree alternatives
ContactOut, Gem, HireEZOne alternative
Team ProcureTwo alternatives
Procurence, TYASuite ProcurementGPT-6 Lunaoboloo1upChangedJuicebox, LinkedIn RecruiterZoho Procurementagainst: Prokur, Tradogramno first choicenothing named
Two alternatives
Market Dojo, PrecoroTwo alternatives
Loopio, ResponsiveThree alternatives
Gem, Indeed Smart Sourcing, SeekOutMuse Glimmer 30BPrecoro, ProcurifyBreeze Docs, DeepRFPChangedPinagainst: HireEZ, LinkedIn RecruiterMarket Dojo, obolooagainst: PrecoroSourceRFXagainst: SAP Aribaagainst: Coupa, GEP SMART, Jaggaer, LinkedIn Recruiter, Oracle Fusion Procurement, SAP Ariba
Four alternatives
Market Dojo, Prokuria, Team Procure, TradogramThree alternatives
Loopio, PowerRFP, obolooFour alternatives
Gem, Juicebox, Manatal, SeekOutThree alternatives
AuraVMS, Team Procure, TradogramOne alternative
Intake CrewBold 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.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:13 | yes | 10 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:37 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:21 | yes | 15 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 10:55 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:26 | yes | 10 | 34 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:58 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:18 | yes | 16 | 18 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:57 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:28 | yes | 5 | 24 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:27 | yes | 13 | 37 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:02 | yes | 17 | 69 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:02 | yes | 8 | 41 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:41 | yes | 3 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:53 | yes | 9 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:14 | yes | 16 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:26 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:00 | yes | 11 | 20 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 11:18 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:23 | yes | 10 | 33 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:52 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:06 | yes | 21 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:13 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:18 | yes | 5 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:07 | yes | 17 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:38 | yes | 15 | 27 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:16 | yes | 10 | 42 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:51 | yes | 2 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:29 | yes | 14 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:05 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:43 | yes | 6 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:17 | yes | 8 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 11:21 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:11 | yes | 5 | 35 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:51 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:54 | yes | 25 | 30 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:08 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:19 | yes | 5 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:44 | yes | 17 | 39 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:04 | yes | 14 | 174 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:21 | yes | 9 | 35 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:16 | yes | 5 | 35 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:13 | yes | 13 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:19 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:01 | yes | 4 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:03 | yes | 8 | 15 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 09:27 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:24 | yes | 8 | 23 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:13 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:31 | yes | 20 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:00 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:06 | yes | 5 | 20 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:15 | yes | 9 | 54 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:04 | yes | 23 | 32 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:28 | yes | 5 | 28 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:49 | yes | 3 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:03 | yes | 12 | 25 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:56 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:12 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:29 | no | 0 | 19 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 09:37 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 12 | 33 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:47 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:40 | yes | 22 | 28 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:51 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:23 | no | 0 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:44 | yes | 11 | 20 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:28 | yes | 14 | 47 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:16 | yes | 5 | 27 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:38 | yes | 3 | 26 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:54 | yes | 14 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:16 | yes | 10 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:55 | no | 0 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:07 | yes | 7 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 11:48 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 5 | 29 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:13 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:29 | yes | 23 | 27 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:13 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:08 | yes | 5 | 38 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:00 | yes | 24 | 47 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:29 | yes | 23 | 80 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:11 | yes | 7 | 43 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:35 | yes | 2 | 10 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:45 | yes | 21 | 31 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Ariba read as SAP Ariba
Ariba (SAP) read as SAP Ariba
GEP read as GEP SMART
Oracle read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Oracle procurement read as Oracle Fusion Cloud Procurement
Unresolved, counted raw
1up
Akeneo PIM
Beyond Intranet
Bid Banana
Ceipal
ConWize
Cusoso
Etsy
Expedience Software
GitHub Search
Hunter.io
Intake Crew
Inventive AI
Jobin.cloud
Kompass
Leoforce
Leoforce / Beamery
Made‑in‑China
Oracle Fusion Procurement
Procurence
Prokur
Prokur.io
Proposalify
RFP360 (by Responsive)
Recruitee
Rival
Sage Supply Chain Intelligence
SignalHire
SmartDocs
Teamtailor
Underdog.io
Weekday
Worldwide Brands
Zendrop
aPriori Manufacturing Intelligence Platform
eBuyerAssist Platform
eSupplier
Discontinued, still offered
No shut-down product was recommended here.