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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Moz Local | 20% | #2 of 10 | 17% | 48 | 13 of 14 |
| Semrush Local | 4% | #5 of 10 | 13% | 31 | 12 of 14 |

## The direct prompt, model by model

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

## 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- "Outdated technology compared to direct-API solutions like Yext; lacks modern engagement features" (Qwen 3.7 Flash, comparative prompt, soft negative)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 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.