Zero of fourteen models named Moz Local first on the direct prompt; zero named Uberall. Both were named by all fourteen models and Moz Local carries 50 labels and Uberall 48, so the shares are not directly comparable.
Named in three categories this edition.
Berlin, Germany, founded 2013. Named in four categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the local listings management page.
Across every category in the November 2026 Edition, Moz Local and Uberall were named in the same answer seventy-five times, of the 141 answers naming Moz Local and the 165 naming Uberall. In those answers Uberall took the first choice four times and Moz Local ten.
| Model | DirectML | ParaphraseML | ComparativeML | Budget-constrainedML | Scale-constrainedML | NegativeML |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ML | ML | ML | |||
| GPT-5.4 mini | ML | ML | ML | |||
| Gemini 3.5 Flash | ML | ML | ML | |||
| Perplexity Sonar | ML | ML | ML | |||
| Grok 4.20 | ML | ML | ML | ML | ML | |
| Mistral Small | ML | ML | ML | |||
| DeepSeek V4 Flash | ML | ML | ML | ML | ||
| Llama 4 Maverick | ML | ML | ||||
| Qwen 3.7 Flash | ML | ML | ||||
| Kimi K2 | ML | ML | ML | ML | ML | |
| GLM 4.7 FlashX | ML | ML | ML | ML | ||
| MiniMax M2.5 | ML | ML | ML | |||
| GPT-6 Luna | ML | |||||
| Muse Glimmer 30B | ML | ML | ML |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Why to avoid: - Email overload — Users report excessive, unmanageable notifications” GLM 4.7 FlashX · negative prompt · hard negative
“Who should avoid: Agencies, enterprises, or anyone needing fast syncing/automation.” Grok 4.20 · negative prompt · hard negative
“Other platforms like BrightLocal and Moz Local have also received some negative feedback, but they also offer useful features” Llama 4 Maverick · negative prompt · soft negative
“The best local listings management platform for a company with a limited budget is Moz Local, as it is the most affordable option” Llama 4 Maverick · budget prompt · first choice
“Moz Local is best for affordable automated listing distribution, offering the best entry price with solid core features.” Claude Haiku 4.5 · budget prompt · first choice
“For a single-location company on a tight budget, Moz Local at $16/month is the sweet spot” DeepSeek V4 Flash · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Requires a 25-location minimum, eliminates it for most small businesses.” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid enterprise platforms like Yext or Uberall.” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid Yext, Uberall, and Birdeye at this stage” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Yext and Uberall both position their products for multi-location brands, with bulk updates, publisher networks, duplicate suppression, and enterprise workflows.” GPT-5.4 mini · scale prompt · first choice
“Uberall — Better-rated for enterprise, real-time API sync (though pricey for small businesses).” DeepSeek V4 Flash · negative prompt · first choice
“Safer starting points: Look at Uberall (strong challenger with lower negatives)” Grok 4.20 · negative prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.