AI Indexes
GTM AI Index
Index › Products › SiftHub · October 2026 Edition
2 categories · Ranked

SiftHub

23Judge labels
0First choices
1Negative labels
11 / 14Models named it
2Categories
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
0% in RFP response for small business buyers
Rank 28 of 56 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 2 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In proposals · 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 SiftHub 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Proposal softwareRevenue operations0%28 of 560%2under 10 labels · led by PandaDoc at 65%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
RFP response softwareSales0%32 of 820%2under 10 labels · led by Loopio at 25%

Movement

Since September 2026, SiftHub held within the floor in all two categories: no change cleared 11 points.

Best category · Proposals · by segment

Small business=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 34 → 17 of 52
Mid-market=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 24 → 26 of 55
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 26 → 22 of 62

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Proposals0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 24 → 28 of 56
RFP response0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 32 of 82, unchanged

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 SiftHub across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00101
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.501001
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Direct6 labelsNone
Paraphrase1 labelNone
Comparative10 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labelsNone
Negative3 labels1not counted in share
First choiceAlternativeMentionNegative23 labels in all, every segment counted; 0 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.

“Pulls answers from live internal systems rather than a manually maintained Q&A library.” DeepSeek V4 Flash · RFP response · comparative prompt · alternative
“4. SiftHub (Newer Alternative)” MiniMax M2.5 · RFP response · direct 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 SiftHub, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SiftHub was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Loopio18 of 233Not among the top eight
Responsive16 of 234Not among the top eight
Proposify11 of 230Not among the top eight
PandaDoc10 of 234Not among the top eight
AutoRFP.ai9 of 233Not among the top eight
Upland Qvidian9 of 231Not among the top eight
DeepRFP6 of 233Not among the top eight
Better Proposals6 of 231Not among the top eight
Inventive AI6 of 231Not among the top eight
Arphie6 of 230Not among the top eight
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 SiftHub. 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 23 of the 23 answers that named SiftHub and are not a share of its labels.

Domains cited

sifthub.ioYour site22
inventive.ai14
responsive.io13
g2.com11
loopio.com10
learn.g2.com9
arphie.ai7
autogenai.com7
autorfp.ai7
bidsparq.com7

Eighty-five of the 107 domain citations in answers naming SiftHub came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

sifthub.io ranks 9 on Google for the category's searches. In the answers, SiftHub takes 0% of first choices and PandaDoc takes 65%.
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In search

Google, US estimates
Position for “proposal software”
9
Position for “best proposal software”
–
not in the top ten
Searches for its name, Google
260 a month (“sifthub”)
AI search demand for its name, est.
0 a month
Organic visits to its site
about 17,832 a month
Searches its site ranks for
2,835 · 103 in the top three
Sites linking to it
477
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
9 ads · 7 text, 2 image · 0 shown in the last 30 days

First shown September 2025, as SpeedUp Inc, verified. Ads started 2025-11 to 2026-10: 7 in the year, 2 before. 1 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 28 of 56 in proposals
Segment leader
65%
PandaDoc
First choices
0 across its categories
Named in
23 answers
Its own site cited
in 23 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

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Addresses on sifthub.io
650
subdomains included
Content
576
counted in the table below
Documentation
0
Product · Integration
23 · 16
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog317272026-08-20Proposals, BI & dashboards
Glossary or explainer17002026-05-11ABM
Comparison2752026-08-10
Podcast or video26undated
Conference or event1402025-11-06
Case study1202026-03-03
Template or tool602026-03-24
Report or ebook4undated

Most recent

How it is countedHide how it is counted

Every page sifthub.io 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.

Follow SiftHub

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.

The company

SiftHub is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
AI RFP software and deal orchestration platform
For
presales and revenue teams
Price stated
Custom pricing based on team size and usage. sifthub.io
Free plan or trial
Free trial available. sifthub.io
Integrations claimed
8 sifthub.io/features/sift-ai
Certifications
SOC 2 Type IIISO 27001:2022ISO CertifiedSOC2 CertifiedVAPT CertifiedISO 27001
Customers named
SirionRocketlaneAllegoZycusActivtrakSuperhumanWhatfixCongruent Solutions
Not stated on the pages read
Starting price, hosting

What SiftHub's own pages state, read October 5, 2026: sifthub.io, sifthub.io/pricing, trust.sifthub.io, sifthub.io/features/sift-ai, sifthub.io/customer-stories. A claimed page can correct any of them.

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 SiftHub'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 SiftHub, 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 SiftHub by email, built from the raw record of the edition. It shows:

  • where SiftHub 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 SiftHub, 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.
The subscriber app

A verification link goes to your work email; an address at sifthub.io is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.