CPQ
Asked as “CPQ software”, and as “configure, price, quote tool”, on behalf of a mid-market B2B software company. 24 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
54%
DealHubClear leader
54DealHub12Zoho CRM08HubSpot Commerce Hub25others
54% of first choices, clear leader.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
02
HubSpot Commerce Hub8%36%22criticized challengernewNew since September 2026: not ranked then, 8% now.
HubSpot Commerce Hub8%36%22criticized challengernewNew since September 2026: not ranked then, 8% now.04
Salesforce Revenue Cloud4%49%43criticized challengernewNew since September 2026: not ranked then, 4% now.
Salesforce Revenue Cloud4%49%43criticized challengernewNew since September 2026: not ranked then, 4% now.Show the four products at 0%, ordered by negative rate
The floor is 12 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. 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.
All six head-to-head pages: the top four products, each against each
One product takes 54% of first choices here, so the chart would put seven markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Six products carry a negative rate above 25% in this category.
What they warned about
Four of six models held their first choice under the paraphrase. Claude Opus 4.8 and GPT-6 Astra 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.
Salesforce Revenue Cloud49%
21 of 43 labels negative · 5 of 6 models · 9 hard negative
“Salesforce moved classic Salesforce CPQ to end-of-sale ... anyone on the legacy product faces real migration costs.” Claude Opus 5, scale prompt
Oracle CPQ44%
7 of 16 labels negative · 5 of 6 models · 3 hard negative
“Skip unless there's a specific reason: Oracle CPQ and SAP CPQ (enterprise ERP-anchored)” Claude Opus 5, paraphrase prompt
HubSpot Commerce Hub36%
8 of 22 labels negative · 5 of 6 models · 1 hard negative
“Avoid using document-centric apps as a replacement for a true CPQ if your product catalog contains highly configurable products” Gemini 3.1 Pro, negative prompt
PandaDoc29%
6 of 21 labels negative · 4 of 6 models · 2 hard negative
“Avoid using document-centric apps as a replacement for a true CPQ” Gemini 3.1 Pro, negative prompt
What they cite
Six of the six models returned a source list in this edition: six return the pages they cited.
Sites the answers cite
33 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 548 links across 192 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
13 answers · 18 citations · 4 models
vendor site · Monday.com13 answers · 17 citations · 3 models
vendor site · DealHub13 answers · 15 citations · 6 models
vendor site · Guideflow13 answers · 14 citations · 3 models
vendor site · Salesforce11 answers · 11 citations · 4 models
vendor site · PandaDoc10 answers · 11 citations · 5 models
9 answers · 18 citations · 4 models
vendor site · BetterCommerce9 answers · 9 citations · 3 models
vendor site · Cincom8 answers · 11 citations · 3 models
vendor site · Gartner8 answers · 11 citations · 5 models
vendor site · Experlogix8 answers · 10 citations · 3 models
vendor site · Capterra8 answers · 8 citations · 4 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.
13 answers · 3 models
12 answers · 3 models
7 answers · 3 models
7 answers · 3 models
7 answers · 4 models
6 answers · 3 models
6 answers · 4 models
5 answers · 2 models
5 answers · 2 models
5 answers · 4 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 cpq software”, “cpq 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 | Best Google position |
|---|---|---|---|---|---|---|---|---|
| DealHub dealhub.io | 54% | 172 | 1,900 | 83 | 319,299 | $372 | 62 | 1 |
| Zoho parent site Zoho CRM 12% | 12% | 331 | 49,500 | 660 | ||||
| HubSpot parent site HubSpot Commerce Hub 8% | 8% | 71 | 368,000 | 9,776 | ||||
| Nue | 4% | |||||||
| PandaDoc pandadoc.com | 4% | 538 | 60,500 | 510 | 425,196 | $42,516 | 119 | |
| QuoteWerks quotewerks.com | 4% | 66 | 1,300 | 22 | 3,244 | 27 | 5 | |
| Bitrix24 bitrix24.com | 4% | 49 | 5,400 | 90 | 69,160 | 104 | ||
| Proposify proposify.com | 4% | 259 | 3,600 | 28 | 38,103 | 27 | ||
| Salesforce parent site Salesforce Revenue Cloud 4% | 4% | 233 | 550,000 | 60,632 | ||||
| Conga CPQ conga.com | 0% | 133 | 320 | 19 | 46,363 | $224 | 120 |
Google's top ten for the two searches hold 15 sites; 6 of them are among the sites the models cited here (cincom.com, dealhub.io, g2.com, gartner.com, monday.com, salesforce.com). The first result for “best cpq software” is gartner.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 CPQ software for a mid-market B2B software company?”Paraphrase“Which configure, price, quote tool would you recommend to a mid-sized B2B software company?”Comparative“What are the top CPQ tools and how do they differ?”Budget-constrained“What is the best CPQ software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a CPQ software. What should we look at?”Negative“Which CPQ tools should I avoid or be cautious about?”
Claude Opus 5DealHubagainst: Salesforce Revenue CloudDealHubHeldagainst: Epicor CPQ, Experlogix, Oracle CPQ, PandaDoc, Proposify, Qwilr, SAP CPQ, Salesforce Revenue Cloud, Tactonno first choiceagainst: HubSpot Commerce Hub, SAP CPQ, Salesforce Revenue Cloud, ServiceNow CPQQuoteWerks, Zoho CRMagainst: Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, Revalize, Salesforce Revenue Cloud, Vendavono first choiceagainst: Salesforce Revenue Cloudagainst: Conga CPQ, HubSpot Commerce Hub, Oracle CPQ, PROS Smart CPQ, PandaDoc, Qwilr, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
HubSpot Commerce Hub, PandaDoc, Salesforce Revenue CloudSeven alternatives
Alguna, Cacheflow, HubSpot Commerce Hub, Nue, Salesforce Revenue Cloud, Subskribe, Zuora CPQTwelve alternatives
Configure One Cloud, Conga CPQ, DealHub, Epicor CPQ, Logik.io, Oracle CPQ, PROS Smart CPQ, PandaDoc, Salesforce Revenue Cloud, Subskribe, Tacton, VendavoFour alternatives
HubSpot Commerce Hub, Kickflip, PandaDoc, ZakekeClaude Opus 4.8DealHubagainst: Salesforce Revenue CloudDealHub, Salesforce Revenue CloudChangedno first choiceagainst: Salesforce Revenue CloudHubSpot Commerce Hub, PandaDocagainst: DealHubno first choiceagainst: Salesforce Revenue Cloud
Five alternatives
Conga CPQ, HubSpot Commerce Hub, Nue, PandaDoc, SubskribeThree alternatives
Conga CPQ, HubSpot Commerce Hub, PandaDocFive alternatives
Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQOne alternative
ConvertCalculatorGPT-6 AstraDealHub, Nueagainst: Salesforce Revenue CloudDealHubChangedagainst: Salesforce Revenue Cloudno first choiceagainst: PROS Smart CPQ, PandaDoc, Salesforce Revenue CloudZoho CRMno first choiceagainst: HubSpot Commerce Hub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Two alternatives
HubSpot Commerce Hub, Salesforce Revenue CloudThree alternatives
HubSpot Commerce Hub, Nue, Salesforce Revenue CloudOne alternative
QuoteWerks Web EssentialFive alternatives
HubSpot Commerce Hub, Nue, Oracle CPQ, Salesforce Revenue Cloud, TactonGPT-5.6 SolDealHubagainst: PandaDoc, QwilrDealHubHeldagainst: PandaDoc, Salesforce Revenue Cloudno first choiceagainst: Salesforce Revenue CloudZoho CRMagainst: HubSpot Commerce Hubno first choiceagainst: Conga CPQ, Epicor CPQ, HubSpot Commerce Hub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, Tacton
Three alternatives
HubSpot Commerce Hub, Nue, Salesforce Revenue CloudTwo alternatives
HubSpot Commerce Hub, NueNine alternatives
Conga CPQ, DealHub, Experlogix, Nue, Oracle CPQ, PandaDoc, SAP CPQ, Salesforce Revenue Cloud, TactonTwo alternatives
QuoteWerks, QwilrGemini 3.1 ProDealHubagainst: Zuora CPQDealHubHeldno first choiceBitrix24, HubSpot Commerce Hubagainst: Salesforce Revenue CloudDealHubagainst: HubSpot Commerce Hub, Salesforce Revenue Cloudagainst: HubSpot Commerce Hub, Oracle CPQ, PandaDoc, Proposify, Salesforce Revenue Cloud
Four alternatives
MonetizeNow, PandaDoc, Salesforce Revenue Cloud, TurnstileThree alternatives
HubSpot Commerce Hub, Salesforce Revenue Cloud, Zuora CPQSix alternatives
Catalystk, Kickflip, MRPeasy, Odoo, PandaDoc, SalesbricksFive alternatives
Cacheflow, Logik.io, Maxio, PandaDoc, Zuora CPQPerplexity Sonar ProDealHubagainst: HubSpot Commerce HubDealHubHeldno first choiceProposifyno first choiceagainst: Conga CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ
Two alternatives
Conga CPQ, Salesforce Revenue CloudTwo alternatives
PandaDoc, Salesforce Revenue CloudTwo alternatives
PandaDoc, QuoteWerksBold 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.
Thirty-six rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-09 19:28 | yes | 34 | 63 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 19:30 | yes | 30 | 47 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:32 | yes | 4 | 30 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:33 | yes | 4 | 35 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:23 | yes | 10 | 43 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-09 19:30 | yes | 20 | 6 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-09 19:35 | yes | 24 | 52 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 19:36 | no | 0 | 18 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:38 | yes | 5 | 26 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:39 | yes | 5 | 40 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:24 | yes | 2 | 48 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-09 19:37 | yes | 20 | 4 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-09 19:42 | yes | 39 | 76 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 19:46 | yes | 39 | 146 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:49 | yes | 12 | 57 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:51 | yes | 11 | 70 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:28 | yes | 8 | 108 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-09 19:46 | yes | 20 | 8 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 19:55 | yes | 32 | 155 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 19:57 | yes | 30 | 54 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:59 | yes | 5 | 25 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 20:00 | yes | 4 | 33 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:29 | yes | 8 | 30 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 19:58 | yes | 20 | 4 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 20:02 | yes | 24 | 53 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 20:03 | no | 0 | 23 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 20:05 | yes | 5 | 40 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 20:07 | yes | 3 | 47 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:30 | no | 0 | 27 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 20:04 | yes | 20 | 6 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-09 20:11 | yes | 37 | 63 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 20:17 | yes | 37 | 44 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-09 20:19 | yes | 4 | 28 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 20:21 | yes | 7 | 50 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 18:39 | yes | 5 | 37 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-09 20:18 | yes | 20 | 6 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
Conga read as Conga CPQ
Epicor read as Epicor CPQ
HubSpot read as HubSpot Commerce Hub
HubSpot (Commerce Hub / quotes) read as HubSpot Commerce Hub
Legacy Salesforce CPQ read as Salesforce Revenue Cloud
Oracle read as Oracle CPQ
PROS read as PROS Smart CPQ
PROS CPQ (Smart CPQ) read as PROS Smart CPQ
SAP read as SAP CPQ
Salesforce read as Salesforce Revenue Cloud
Salesforce CPQ read as Salesforce Revenue Cloud
Salesforce CPQ (Revenue Cloud / Agentforce) read as Salesforce Revenue Cloud
Salesforce CPQ (Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ / Revenue Cloud read as Salesforce Revenue Cloud
Salesforce CPQ — legacy managed package read as Salesforce Revenue Cloud
Salesforce CPQ/Revenue Cloud read as Salesforce Revenue Cloud
Zoho read as Zoho CRM
Zuora read as Zuora CPQ
legacy Salesforce CPQ read as Salesforce Revenue Cloud
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.