# Synup vs Uberall: which do AI models recommend for local listings, October 2026

GTM AI Recommendation Index, October 2026 Edition, Local listings management. Four of fourteen models named Synup first on the direct prompt; zero named Uberall. Page: https://gtm-ai-index.com/marketing/local-listings-management/synup-vs-uberall/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Synup | 10% | #3 of 10 | 5% | 37 | 12 of 14 |
| Uberall | 2% | #7 of 10 | 11% | 36 | 13 of 14 |

## The direct prompt, model by model

- Perplexity Sonar: synup first (first choices: Synup) (alternatives: BrightLocal, Semrush Listing Management, Uberall, Yext)
- Llama 4 Maverick: synup first (first choices: BrightLocal Track, Synup) (alternatives: Birdeye, Moz Local, Yext)
- Qwen 3.7 Flash: synup first (first choices: Synup) (alternatives: BrightLocal, Uberall)
- Muse Glimmer 30B: synup first (first choices: BrightLocal, Synup) (alternatives: Semrush Listing Management)
- Claude Haiku 4.5: neither first, one named (first choices: Yext) (alternatives: Birdeye, BrightLocal, SOCi, Synup)
- GPT-5.4 mini: neither first, one named (first choices: Yext) (alternatives: Uberall)
- Gemini 3.5 Flash: neither first, one named (first choices: Semrush Local) (alternatives: BrightLocal, Synup, Whitespark)
- Grok 4.1 Fast: neither first, one named (first choices: BrightLocal) (alternatives: Moz Local, Synup, Yext)
- Mistral Small: neither first, one named (first choices: Birdeye, Yext) (alternatives: Moz Local, Synup)
- DeepSeek V4 Flash: neither first, one named (first choices: BrightLocal) (alternatives: Semrush Local, Synup, Uberall)
- Kimi K2: neither first, one named (first choices: BrightLocal) (alternatives: SOCi, Semrush Listing Management, Synup)
- MiniMax M2.5: neither first, one named (first choices: BrightLocal) (alternatives: Synup, Yext)
- GLM 4.7 FlashX: neither named (first choices: BrightLocal) (alternatives: LocaliQ, Semrush Local, Yext)
- GPT-6 Luna: neither named (first choices: BrightLocal) (alternatives: Yext)

## What the models said about Synup

- "Pricing shown is agency‑oriented; may be higher than very small‑business budgets." (GLM 4.7 FlashX, budget prompt, soft negative)
- "described as powerful, but with a significant learning curve" (Perplexity Sonar, negative prompt, soft negative)
- "the strongest default choice is usually Synup if you need scalable multi-location control and centralized updates" (Perplexity Sonar, direct prompt, first choice)
- "If you want a dedicated, cost-effective listings + reputation stack with agency/white-label options: Synup" (Muse Glimmer 30B, direct prompt, first choice)
- "Moz Local and Synup are both highly recommended as affordable local listings management platforms" (Mistral Small, budget prompt, first choice)

## What the models said about Uberall

- "Uberall is positioned for "growth at scale" and uses request-based pricing for some plans ... but these are generally pricier" (GPT-5.4 mini, budget prompt, soft negative)
- "like Yext or Uberall) are designed for large enterprises and franchises. They are expensive" (Gemini 3.5 Flash, budget prompt, soft negative)
- "generally cost more and are better suited to larger budgets or multi-location enterprises" (Perplexity Sonar, budget prompt, soft negative)
- "Uberall is positioned as built for multi-location brands to control, optimize and protect listings across 150+ directories." (Muse Glimmer 30B, scale prompt, first choice)
- "Choose Yext or Uberall for enterprise‑grade automation, compliance, and direct publisher integrations." (GLM 4.7 FlashX, comparative prompt, first choice)
- "Best for distributing data to a vast number of obscure directories/APIs. | Interface can be complex; pricier than BrightLocal." (Qwen 3.7 Flash, paraphrase prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.