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
Revenue intelligence and forecasting	Sales	7%	5 of 75	0%	17	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for BoostUp yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated BoostUp across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	2	1	3
GPT-5.4 mini	0	1	0	1
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	1	0	0	1
Grok 4.1 Fast	0	1	0	1
Mistral Small	0	2	0	2
DeepSeek V4 Flash	2	0	1	3
Llama 4 Maverick	0	0	1	1
Qwen 3.7 Flash	0	0	0	0
Kimi K2	1	1	1	3
GLM 4.7 FlashX	0	1	0	1
MiniMax M2.5	0	0	1	1

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

Direct10 labels1

Paraphrase6 labels3

Comparative6 labelsNone

Budget-constrained4 labelsNone

Scale-constrained4 labels1

Negative5 labelsNone

First choiceAlternativeMentionNegative35 labels in all, every segment counted; 5 of the 5 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.

“I'd recommend BoostUp if you want the best balance of pipeline analytics, AI forecasting, and mid-market fit” Perplexity Sonar · Revenue intel · paraphrase prompt · first choice

“Top Recommendation: BoostUp (now Terret.ai) — Best for Mid-Market” Kimi K2 · Revenue intel · paraphrase prompt · first choice

“BoostUp / Terret — Best overall for mid-market forecasting” DeepSeek V4 Flash · Revenue intel · direct prompt · first choice

“Top Recommendation: BoostUp (now rebranded Terret)” DeepSeek V4 Flash · Revenue intel · paraphrase prompt · first choice

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 35 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.

ProductSame answerTook the first choice insteadHead to head

Clari Copilot34 of 3511Not in the top three

Gong30 of 353Not in the top three

Revenue Grid18 of 351Not in the top three

Aviso14 of 352Not in the top three

People.ai13 of 350Not in the top three

Salesloft12 of 350Not in the top three

HubSpot Sales Hub11 of 352Not in the top three

Salesforce Revenue Intelligence11 of 350Not in the top three

Revenue.io10 of 350Not in the top three

Avoma9 of 353Not in the top three

A head-to-head page exists where both products are in a category's top three. 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, four of the twelve in this edition, so these counts come from 9 of the 35 answers that named BoostUp and are not a share of its labels.

Domains cited

pipeline.zoominfo.com6

forecastio.ai5

kayako.com5

sybill.ai4

zapier.com4

getmaxiq.com3

marketbetter.ai3

oliv.ai3

salesforce.com3

blog.sendspark.com2

Thirty-eight of the thirty-eight domain citations in answers naming BoostUp came from somebody else's page.

Pages cited

forecastio.ai/blog/best-revenue-intelligence-platforms4

kayako.com/blog/top-revenue-intelligence-platforms-b2b-sales4

pipeline.zoominfo.com/sales/sales-forecasting-software4

oliv.ai/blog/best-revenue-intelligence-software-platforms3

pipeline.zoominfo.com/sales/revenue-intelligence-platforms3

pipeline.zoominfo.com/sales/revenue-intelligence-tools3

sybill.ai/blogs/best-revenue-intelligence-platforms3

zapier.com/blog/revenue-intelligence-platform3

Pages are listed as the models cited them.

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) 3BoostUp (Terret) 1BoostUp (now Terret.ai) 1BoostUp (now rebranded Terret) 1BoostUp (rebranded as Terret) 1BoostUp.ai 1

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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at boostup.ai is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.