Zero of fourteen models named Moz Local first on the direct prompt; three named Yext. Moz Local was named by thirteen of the fourteen models and Yext by fourteen and Moz Local carries 48 labels and Yext 62, so the shares are not directly comparable.
Named in two categories this edition.
New York City, United States, founded 2006. Named in five 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 October 2026 Edition, Moz Local and Yext were named in the same answer 105 times, of the 133 answers naming Moz Local and the 270 naming Yext. In those answers Yext took the first choice twenty-three times and Moz Local sixteen.
| Model | DirectML | ParaphraseML | ComparativeML | Budget-constrainedML | Scale-constrainedML | NegativeML |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ML | ML | ||||
| GPT-5.4 mini | ML | ML | ||||
| Gemini 3.5 Flash | ML | ML | ML | |||
| Perplexity Sonar | ML | ML | ||||
| Grok 4.1 Fast | ML | ML | ML | ML | ML | |
| Mistral Small | ML | ML | ML | ML | ||
| DeepSeek V4 Flash | ML | ML | ML | ML | ||
| Llama 4 Maverick | ML | ML | ||||
| Qwen 3.7 Flash | ML | ML | ML | ML | ||
| Kimi K2 | ML | ML | ML | ML | ||
| GLM 4.7 FlashX | ML | ML | ML | |||
| MiniMax M2.5 | ML | ML | ML | ML | ||
| GPT-6 Luna | ||||||
| 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.
“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“Outdated technology compared to direct-API solutions like Yext; lacks modern engagement features” Qwen 3.7 Flash · comparative prompt · soft negative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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Why You Should Likely Avoid Yext (For Now) ... it is usually not recommended for a mid-sized B2B company.” Gemini 3.5 Flash · paraphrase prompt · hard negative
“High Caution: Yext ... Expensive pricing ... "Rented" listing model ... Trustpilot rating: Only 1.6/5 ("Bad")” Kimi K2 · negative prompt · hard negative
“One of the most established platforms, offering extensive directory coverage and real-time updates... Yext and Uberall are preferred for multi-location or enterprise businesses” Mistral Small · comparative prompt · first choice
“If you have hundreds of locations and need real-time data control: Choose Yext (or Uberall, its primary enterprise competitor).” Gemini 3.5 Flash · comparative prompt · first choice
“Yext: The enterprise gold standard. Highly powerful, robust API, excellent local pages product, but usually the most expensive.” Gemini 3.5 Flash · scale 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.