# Upland Qvidian: how AI models rank it, October 2026

GTM AI Recommendation Index, October 2026 Edition. Named in 38 judge labels across 2 categories by 14 of 14 models. Page: https://gtm-ai-index.com/vendors/upland-qvidian/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| RFP response software | 0% | 17 | 21% | 33 |
| Proposal software | 0% | 44 | 40% | 5 |

## What the models said for it

- "Qvidian is the robust, traditional choice... Trade-off: It typically requires more implementation time and a higher budget" (Qwen 3.7 Flash, RFP response)
- "Deep Microsoft/Word integration. However, implementation can take 3–6 months, and the UI is often considered dated" (DeepSeek V4 Flash, RFP response)
- "Qvidian/Uplvand is best for Mid-to-large enterprises [100+ users] with global customers, complex tech stacks" (Muse Glimmer 30B, RFP response)
- "*RFPIO / Qualia (formerly Qvidian)*: Very powerful, heavy analytics, but steep learning curve." (Qwen 3.7 Flash, RFP response)

## And against it

- "described as having "uninspiring user interface, awkward workflows, and underdeveloped AI capabilities"" (Kimi K2, RFP response)
- "Avoid enterprise-heavy like Upland Qvidian unless you need deep proposal automation." (Grok 4.20, RFP response)
- "Established giants like Upland Qvidian, and historically older setups of Loopio or Responsive ... are powerful but require massive upkeep." (Gemini 3.5 Flash, RFP response)
- "Its AI features are flawed, with many users complaining about inaccurate content recommendations through its "Auto-Answer" technology." (Claude Haiku 4.5, RFP response)

## In its own words

What Upland Qvidian's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: AI-powered RFP response and proactive sales proposal creation software to win new business faster. (https://uplandsoftware.com/)
- Customers named: NetApp

## What it publishes

Every page uplandsoftware.com exposes, read 2026-09-29: 7609 addresses. By kind, pages and the last 90 days:

- blog: 3974 pages, 1 in the last 90 days, latest 2026-09-28
- case study: 434 pages, 2 in the last 90 days, latest 2026-09-23
- webinar or virtual event: 399 pages, 10 in the last 90 days, latest 2026-09-18
- conference or event: 160 pages, 1 in the last 90 days, latest 2026-07-08
- report or ebook: 367 pages, 4 in the last 90 days, latest 2026-09-25
- comparison: 74 pages, 1 in the last 90 days, latest 2026-09-14
- template or tool: 43 pages, 0 in the last 90 days, latest 2025-09-16
- glossary or explainer: 229 pages, 1 in the last 90 days, latest 2026-08-05
- podcast or video: 159 pages, 0 in the last 90 days, latest 2023-03-23
- news or press: 375 pages, 0 in the last 90 days, latest 2020-09-08
- Recent: 2026-09-28 blog: The ai knowledge maturity model is your knowledge ready https://uplandsoftware.com/rightanswers/resources/blog/the-ai-knowledge-maturity-model-is-your-knowledge-ready/
- Recent: 2026-09-25 report or ebook: Km business case checklist https://uplandsoftware.com/rightanswers/resources/ebook/km-business-case-checklist/
- Recent: 2026-09-24 report or ebook: Contest software ai feature enhancements https://uplandsoftware.com/secondstreet/resources/ebook/contest-software-ai-feature-enhancements
- Recent: 2026-09-23 case study: Comcast https://uplandsoftware.com/rightanswers/resources/success-story/comcast
- Recent: 2026-09-18 webinar or virtual event: 30in30 https://uplandsoftware.com/secondstreet/resources/webinar-on-demand/30in30
- Recent: 2026-09-17 webinar or virtual event: Audiences in action built for agencies https://uplandsoftware.com/adestra/resources/webinar-on-demand/audiences-in-action-built-for-agencies

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, October 2026 Edition, gtm-ai-index.com.