# Moz Local vs Uberall: 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; zero named Uberall. Page: https://gtm-ai-index.com/marketing/local-listings-management/moz-local-vs-uberall/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Moz Local | 20% | #2 of 10 | 17% | 48 | 13 of 14 |
| Uberall | 2% | #7 of 10 | 11% | 36 | 13 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: neither first, one named (first choices: Yext) (alternatives: Uberall)
- Perplexity Sonar: neither first, one named (first choices: Synup) (alternatives: BrightLocal, Semrush Listing Management, Uberall, Yext)
- 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)
- Qwen 3.7 Flash: neither first, one named (first choices: Synup) (alternatives: BrightLocal, Uberall)
- Claude Haiku 4.5: neither named (first choices: Yext) (alternatives: Birdeye, BrightLocal, SOCi, Synup)
- Gemini 3.5 Flash: neither named (first choices: Semrush Local) (alternatives: BrightLocal, Synup, Whitespark)
- Kimi K2: neither named (first choices: BrightLocal) (alternatives: SOCi, Semrush Listing Management, Synup)
- GLM 4.7 FlashX: neither named (first choices: BrightLocal) (alternatives: LocaliQ, Semrush Local, Yext)
- 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- "Outdated technology compared to direct-API solutions like Yext; lacks modern engagement features" (Qwen 3.7 Flash, comparative prompt, soft negative)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 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.