Revenue intelligence and forecasting
Asked as “revenue intelligence and forecasting platform”, and as “sales forecasting and pipeline analytics tool”, on behalf of a mid-market B2B software company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
28%
Contested · Gong 12%
28Clari Copilot12Gong12HubSpot Sales Hub48others
28% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Clari Copilot (28%) replaces Avoma (20% then, 12% now), 16 points clear, past the 12-point floor.Clari Copilot leads at 28%, replacing Avoma, which led at 20% and stands at 12% now: 16 points clear, past the floor.
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
01
Clari Copilot28%40%65criticized challenger▲+10Since September 2026: 18% → 28%, +10 points. Inside the 12-point floor: within noise. Read over the models both editions asked.18% → 28%
Clari Copilot28%40%65criticized challenger▲+10Since September 2026: 18% → 28%, +10 points. Inside the 12-point floor: within noise. Read over the models both editions asked.18% → 28%02
HubSpot Sales Hub12%10%39accepted challenger▼−5Since September 2026: 16% → 12%, −5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.16% → 12%
HubSpot Sales Hub12%10%39accepted challenger▼−5Since September 2026: 16% → 12%, −5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.16% → 12%03
Gong12%35%63criticized challenger▲+3Since September 2026: 9% → 12%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 12%
Gong12%35%63criticized challenger▲+3Since September 2026: 9% → 12%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 12%04
Avoma10%0%25accepted challenger▼−8Since September 2026: 20% → 12%, −8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 12%
Avoma10%0%25accepted challenger▼−8Since September 2026: 20% → 12%, −8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 12%05
Pipedrive4%0%14accepted challenger▲+1Since September 2026: 4% → 5%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 5%
Pipedrive4%0%14accepted challenger▲+1Since September 2026: 4% → 5%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 5%06
Revenue Grid4%0%15accepted challenger▲+1Since September 2026: 2% → 2%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
Revenue Grid4%0%15accepted challenger▲+1Since September 2026: 2% → 2%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%07
BoostUp2%0%10accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.7% → 2%
BoostUp2%0%10accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.7% → 2%08
Salesforce Revenue Intelligence2%29%21criticized challenger▲+1Since September 2026: 2% → 2%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
Salesforce Revenue Intelligence2%29%21criticized challenger▲+1Since September 2026: 2% → 2%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%Show the six products at 0%, ordered by negative rate
14
Chorus by ZoomInfo0%40%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Chorus by ZoomInfo0%40%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%10
Salesloft0%21%19accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%
Salesloft0%21%19accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%13
Outreach0%20%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Outreach0%20%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%12
Revenue.io0%15%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%
Revenue.io0%15%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%11
Aviso0%13%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Aviso0%13%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%09
People.ai0%12%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
People.ai0%12%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%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 is noise, and both are shown. 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 twenty-eight head-to-head pages: the top eight products, each against each
Clari Copilot vs SalesloftClari Copilot vs HubSpot Sales HubClari Copilot vs Salesforce Revenue IntelligenceClari Copilot vs AvisoGong vs BoostUpGong vs AvomaGong vs SalesloftGong vs HubSpot Sales HubGong vs Salesforce Revenue IntelligenceGong vs AvisoBoostUp vs AvomaBoostUp vs SalesloftBoostUp vs HubSpot Sales HubBoostUp vs Salesforce Revenue IntelligenceBoostUp vs AvisoAvoma vs SalesloftAvoma vs HubSpot Sales HubAvoma vs Salesforce Revenue IntelligenceAvoma vs AvisoSalesloft vs HubSpot Sales HubSalesloft vs Salesforce Revenue IntelligenceSalesloft vs AvisoHubSpot Sales Hub vs Salesforce Revenue IntelligenceHubSpot Sales Hub vs AvisoSalesforce Revenue Intelligence vs Aviso
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 →
0102030405060708091011121314Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Clari Copilot28%
Clari Copilot28%02HubSpot Sales Hub12%
HubSpot Sales Hub12%03Gong12%
Gong12%04Avoma10%
Avoma10%05Pipedrive4%
Pipedrive4%06Revenue Grid4%
Revenue Grid4%07BoostUp2%
BoostUp2%08Salesforce Revenue Intelligence2%
Salesforce Revenue Intelligence2%09People.ai0%
People.ai0%10Salesloft0%
Salesloft0%11Aviso0%
Aviso0%12Revenue.io0%
Revenue.io0%13Outreach0%
Outreach0%14Chorus by ZoomInfo0%
Chorus by ZoomInfo0%What they warned about
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.
Clari Copilot40%
26 of 65 labels negative · 14 of 6 models · 7 hard negative
“Avoid these enterprise forecasters unless you have already solved your CRM data hygiene issues” Gemini 3.5 Flash, negative prompt
Gong35%
22 of 63 labels negative · 12 of 6 models · 7 hard negative
“Avoid Gong if your team is under 15\u201320 reps or if you lack a dedicated Revenue Operations (RevOps) professional” Gemini 3.5 Flash, negative prompt
Chorus by ZoomInfo40%
6 of 15 labels negative · 6 of 6 models · 2 hard negative
“ZoomInfo contracts are notorious for **automatic multi-year renewals** ... do not sign until you get the exact exit, cancellation, and non-auto-renewal clauses in writing” Gemini 3.5 Flash, negative prompt
Salesforce Revenue Intelligence29%
6 of 21 labels negative · 6 of 6 models · 2 hard negative
“adding Salesforce Revenue Intelligence is often highly redundant and far less flexible” Gemini 3.5 Flash, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the six in this edition.
Sites the answers cite
80 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 1071 links across 219 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.
vendor site · ZoomInfo45 answers · 70 citations · 11 models
vendor site · Avoma38 answers · 55 citations · 12 models
vendor site · Demandbase35 answers · 35 citations · 12 models
31 answers · 41 citations · 10 models
vendor site · Salesmotion28 answers · 28 citations · 11 models
vendor site · Cleverly25 answers · 25 citations · 8 models
vendor site · Zapier21 answers · 21 citations · 12 models
vendor site · MarketBetter20 answers · 25 citations · 9 models
20 answers · 23 citations · 9 models
vendor site · Guideflow20 answers · 20 citations · 10 models
19 answers · 24 citations · 10 models
vendor site · Tellius19 answers · 20 citations · 8 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.
35 answers · 12 models
29 answers · 12 models
28 answers · 10 models
28 answers · 11 models
25 answers · 8 models
19 answers · 8 models
19 answers · 12 models
18 answers · 9 models
17 answers · 11 models
13 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 revenue intelligence and forecasting platform”, “revenue intelligence and forecasting platform”. 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 |
|---|---|---|---|---|---|---|---|---|
| Clari clari.com Clari Copilot 28%, Clari Forecast 2% | 30% | 276 | 1,000 | 6 | 444,225 company | |||
| HubSpot parent site HubSpot Sales Hub 12%, HubSpot CRM 2% | 14% | 693 | 368,000 | 9,776 | ||||
| Gong gong.io | 12% | 534 | 74,000 | 13,361 | 52,787 | $1,556 | 120 | 8 |
| Avoma avoma.com | 10% | 229 | 3,600 | 31 | 19,141 | 27 | ||
| Sybill sybill.ai | 8% | 38 | 2,900 | 5,864 | 17,438 | 8 | ||
| Pipedrive pipedrive.com Pipedrive 4%, Pipedrive CRM 2% | 6% | 370 | 49,500 | 598 | 418,149 | $55 | 97 | |
| Revenue.io revenue.io Revenue Grid 4%, Revenue.io 0% | 4% | 58 | 390 | 14 | 16,889 | 2 | ||
| Terret terret.ai | 4% | 12 | ||||||
| BoostUp boostup.ai | 2% | 14 | 1,000 | 11 | 76 | |||
| Salesforce parent site Salesforce Revenue Intelligence 2% | 2% | 71 | 550,000 | 60,632 |
Google's top ten for the two searches hold 17 sites; 4 of them are among the sites the models cited here (getmaxiq.com, guideflow.com, pipeline.zoominfo.com, zapier.com). The first result for “best revenue intelligence and forecasting platform” is moxo.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 revenue intelligence and forecasting platform for a mid-market B2B company?”Paraphrase“Which sales forecasting and pipeline analytics tool would you recommend to a mid-sized B2B company?”Comparative“What are the top revenue intelligence platforms and how do they differ?”Budget-constrained“What is the best revenue intelligence and forecasting platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a revenue intelligence and forecasting platform. What should we look at?”Negative“Which revenue intelligence platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno 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. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
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
HubSpot read as HubSpot Sales Hub
Salesforce read as Salesforce Revenue Intelligence
Unresolved, counted raw
Drivetrain
HubSpot Advanced Reporting
Level90
Proshort
Salesforce RI
Salesloft with Clari Forecast
Discontinued, still offered
No shut-down product was recommended here.