Small businessgoneNot named this edition; 2% in September 2026.
0%from 2% in September 2026
Inside the floor by 9 pointsNot ranked
1 category · RankedBoostUp
14Judge labels
1First choices
1Negative labels
11 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
2% in Revenue intel for mid-market buyers
Rank 9 of 76 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 0% of its 10 labels there were negative.
What the models named instead of BoostUp →By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market9 of 76
2%10 labels
accepted challenger
Enterprise26 of 73
0%4 labels
under the label threshold
In revenue intel · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named BoostUp for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Revenue intelligence and forecasting | Sales | 2% | 9 of 76 | 0% | 10 | accepted challenger | ▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, BoostUp held within the floor in its one category: no change cleared 11 points.
Best category · Revenue intel · by segment
Mid-market▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 7% in September 2026
Inside the floor by 6 pointsRank 5 → 9 of 68
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 14 → 47 of 66
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Revenue intel | 7% | 2% | ▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 9 of 76 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 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. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated BoostUp across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated BoostUp across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct3 labels1
Paraphrase1 labelNone
Comparative6 labelsNone
Budget-constrained1 labelNone
Scale-constrained2 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative14 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“BoostUp is currently the strongest specialist choice for the mid-market” Qwen 3.7 Flash · Revenue intel · direct prompt · first choice
“If you want AI-powered forecasting: BoostUp (now Terret) provides AI-powered forecasting with strong pipeline analytics and risk detection” Claude Haiku 4.5 · Revenue intel · paraphrase prompt · alternative
“Excellent, highly-rated mid-market alternatives to Clari” Gemini 3.5 Flash · Revenue intel · scale prompt · alternative
“also in the forecasting / pipeline intelligence lane” GPT-5.4 mini · Revenue intel · comparative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
No model argued against it.
Named alongside
The products named in the same answers as BoostUp, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and BoostUp was named but was not.ShowHide
Named alongside
The products named in the same answers as BoostUp, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and BoostUp was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named BoostUp. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 14 of the 14 answers that named BoostUp and are not a share of its labels.
Domains cited
avoma.com9
pipeline.zoominfo.com7
zapier.com7
demandbase.com5
optif.ai5
revenue.io5
gartner.com4
superagi.com4
tellius.com4
g2.com3
Fifty-three of the fifty-three domain citations in answers naming BoostUp came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
boostup.ai is not in Google's top ten for any of the category's searches. In the answers, BoostUp takes 2% of first choices and Clari Copilot takes 28%.ShowHide
Search and answers
boostup.ai is not in Google's top ten for any of the category's searches. In the answers, BoostUp takes 2% of first choices and Clari Copilot takes 28%.
ShowHideIn search
Google, US estimatesPosition for “revenue intelligence and forecasting platform”
–
not in the top ten
Position for “best revenue intelligence and forecasting platform”
–
not in the top ten
- Searches for its name, Google
- 1,000 a month (“boostup”)
- AI search demand for its name, est.
- 11 a month
- Organic visits to its site
- about 76 a month
- Searches its site ranks for
- 13 · 3 in the top three
- Sites linking to it
- 512
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
2%
rank 9 of 76 in revenue intel
Segment leader
28%
Clari Copilot
- First choices
- 1 across its categories
- Named in
- 14 answers
- Its own site cited
- in 14 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on boostup.ai
304
subdomains included
Content
203
counted in the table below
Documentation
4
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 174 | 3 | 2026-09-01 | CRM | |
| Glossary or explainer | 24 | 17 | 2026-09-01 | ||
| Comparison | 4 | 2 | 2026-07-08 | ||
| Webinar or virtual event | 1 | undated |
Most recent
- 2026-09-01Sales performance metrics blog
- 2026-09-01What is sales productivity glossary or explainer
- 2026-08-28What is a sales process glossary or explainer
- 2026-08-25What is sales forecasting glossary or explainer
- 2026-08-19What is sales forecast accuracy glossary or explainer
- 2026-08-17What is the difference between revenue intelligence and sales analytics glossary or explainer
How it is countedHide how it is counted
Every page boostup.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as BoostUp
What the judge wrote, as written, with how often. The vendor table decides that these count as BoostUp; a claim can dispute any of them.
BoostUp (now Terret) 2Boostup 1
Follow BoostUp
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when BoostUp's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as BoostUp, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for BoostUp by email, built from the raw record of the edition. It shows:
- where BoostUp is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name BoostUp, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.