# Synup vs Semrush Local: 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; one named Semrush Local. Page: https://gtm-ai-index.com/marketing/local-listings-management/synup-vs-semrush-local/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Synup | 10% | #3 of 10 | 5% | 37 | 12 of 14 |
| Semrush Local | 4% | #5 of 10 | 13% | 31 | 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)
- Gemini 3.5 Flash: semrush local first (first choices: Semrush Local) (alternatives: BrightLocal, Synup, Whitespark)
- Claude Haiku 4.5: neither first, one named (first choices: Yext) (alternatives: Birdeye, BrightLocal, SOCi, Synup)
- 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)
- GLM 4.7 FlashX: neither first, one named (first choices: BrightLocal) (alternatives: LocaliQ, Semrush Local, Yext)
- MiniMax M2.5: neither first, one named (first choices: BrightLocal) (alternatives: Synup, Yext)
- GPT-5.4 mini: neither named (first choices: Yext) (alternatives: Uberall)
- 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 Semrush Local

- "Semrush Local Pro is another option, but it's listed at $60/month per location billed annually, so it costs more for listings management alone." (GPT-6 Luna, budget prompt, soft negative)
- "though it may lack some of the advanced enterprise workflow permissions of a standalone Yext/Uberall" (Gemini 3.5 Flash, scale prompt, soft negative)
- "Semrush Local starts at $30/mo per location billed annually ... but these are generally pricier" (GPT-5.4 mini, budget prompt, soft negative)
- "I'd most likely recommend Semrush Local as the default choice." (GPT-5.4 mini, paraphrase prompt, first choice)
- "adding Semrush Local is almost always the most efficient path" (Gemini 3.5 Flash, direct prompt, first choice)
- "The integration with your existing keyword and competitive research data reduces tool sprawl, though multi-location workflows aren't as robust" (Kimi K2, 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.