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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Moz Local | 20% | #2 of 10 | 17% | 48 | 13 of 14 |
| Synup | 10% | #3 of 10 | 5% | 37 | 12 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)
- 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)
- GPT-5.4 mini: neither named (first choices: Yext) (alternatives: Uberall)
- 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 Moz Local

- "Moz Local does not cover as many secondary directories as competitors... Acceptable for very simple needs, but insufficient for multi-location" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Outdated technology compared to direct-API solutions like Yext; lacks modern engagement features" (Qwen 3.7 Flash, comparative prompt, soft negative)
- "too simplistic for multi-location B2B needs (no deep rank tracking or competitor analysis)" (DeepSeek V4 Flash, paraphrase prompt, soft negative)
- "Moz Local is the strongest default choice because it is consistently described as one of the cheapest credible paid options" (Perplexity Sonar, budget prompt, first choice)
- "The best local listings management platform for a company with a limited budget is Moz Local, which starts at $14/month" (Llama 4 Maverick, budget prompt, first choice)
- "look for monthly, non-contract tools like BrightLocal or Moz Local, which are a fraction of the cost" (Gemini 3.5 Flash, negative prompt, first choice)

## 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)

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.