# Qualtrics: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 62 judge labels across 2 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/qualtrics/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Customer feedback and surveys | 5% | 6 | 44% | 50 |
| Customer intelligence and data science | 0% | 34 | 8% | 12 |

## What the models said for it

- "The best NPS and customer experience survey tools for mid-sized B2B companies include CustomerGauge, Qualtrics XM, Medallia, SAS Customer Experience, and GetFeedback." (Llama 4 Maverick, Feedback)
- "Choose Qualtrics or Medallia if you need enterprise-grade CX management, advanced analytics, and large-scale governance." (Perplexity Sonar, Feedback)
- "omnichannel feedback across the full customer journey warrants enterprise platforms like Qualtrics or Medallia" (MiniMax M2.5, Feedback)
- "If you need enterprise depth ($25K–$50K/year): Qualtrics, Medallia, or InMoment" (Kimi K2, Feedback)

## And against it

- "Major complaints: Extremely slow deployment (weeks or months), complex admin burden... Poor Trustpilot rating: ~1.2/5 with 67% one-star reviews" (MiniMax M2.5, Feedback)
- "Avoid for low budgets: ... Qualtrics, Medallia, and AskNicely \u2014 all skew enterprise-priced." (DeepSeek V4 Flash, Feedback)
- "Avoid unless you are a Fortune 500 or academic institution with a dedicated CX team and budget." (GLM 4.7 FlashX, Feedback)
- "Extremely high cost — Median $27,293/year; enterprise contracts up to $300K+" (Kimi K2, Feedback)

## The company

Qualtrics; https://www.qualtrics.com/; Provo, United States; founded 2002; public, XM on Nasdaq. From Wikidata, fetched 2026-09-14.

## 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, September 2026 Edition, gtm-ai-index.com.
