Zero of fourteen models named Moz Local first on the direct prompt; one named Semrush Local. Moz Local was named by thirteen of the fourteen models and Semrush Local by twelve and Moz Local carries 48 labels and Semrush Local 31, so the shares are not directly comparable.
Named in two categories this edition.
By Semrush, Boston, United States, founded 2008. Named in two 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 Semrush Local were named in the same answer forty-nine times, of the 133 answers naming Moz Local and the 76 naming Semrush Local. In those answers Semrush Local took the first choice one time and Moz Local ten.
| 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“Outdated technology compared to direct-API solutions like Yext; lacks modern engagement features” Qwen 3.7 Flash · comparative prompt · soft negative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. Six of eight in this category shown.
“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
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.