Moz Local vs Birdeye
Zero of fourteen models named Moz Local first on the direct prompt; one named Birdeye. Moz Local was named by thirteen of the fourteen models and Birdeye by fourteen and Moz Local carries 48 labels and Birdeye 34, so the shares are not directly comparable.
Moz Local
accepted challengerNamed in two categories this edition.
Named in eight 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.
By framing
Across every category in the October 2026 Edition, Moz Local and Birdeye were named in the same answer sixty-five times, of the 133 answers naming Moz Local and the 316 naming Birdeye. In those answers Birdeye took the first choice six times and Moz Local thirteen.
Every model, every framing
| 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 |
BirdeyeML first choiceML named as an alternativeML argued againstblank: not namedEach cell is one answer, Moz Local on the left and Birdeye on the right.The direct prompt
Birdeye first, Moz Local an alternative
1 of 14 modelsMoz Local was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Birdeye0%#7 of 9Birdeye2%#8 of 10Birdeye9%#3 of 9What the models said about Moz Local
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
What the models said about Birdeye
No label in this category carried a quote.
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.