Moz Local
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Local listings management | Marketing | 20% | 2 of 65 | 17% | 48 | accepted challenger | |
| Channel partner and local marketing | Partner and channel | 0% | 94 of 124 | 0% | 1 | under 10 labels · led by Channelscaler at 10% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
By model
How each model treated Moz Local across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 1 | 1 | 1 | 3 |
| Gemini 3.5 Flash | 1 | 2 | 0 | 0 | 3 |
| Perplexity Sonar | 1 | 0 | 0 | 1 | 2 |
| Grok 4.20 | 0 | 4 | 0 | 1 | 5 |
| Mistral Small | 2 | 2 | 0 | 0 | 4 |
| DeepSeek V4 Flash | 2 | 0 | 1 | 2 | 5 |
| Llama 4 Maverick | 1 | 1 | 1 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 1 | 1 | 2 | 5 |
| Kimi K2 | 1 | 3 | 0 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 3 | 1 | 0 | 4 |
| MiniMax M2.5 | 1 | 3 | 0 | 0 | 4 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 1 | 1 | 1 | 4 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Moz Local is the strongest default choice because it is consistently described as one of the cheapest credible paid options” Perplexity Sonar · Local listings · 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 · Local listings · 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 · Local listings · negative prompt · first choice
“Best Overall Value: Moz Local ... Lowest-cost paid option with automated distribution to major aggregators” Kimi K2 · Local listings · budget prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“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 · Local listings · negative prompt · soft negative
“Outdated technology compared to direct-API solutions like Yext; lacks modern engagement features” Qwen 3.7 Flash · Local listings · comparative prompt · soft negative
“too simplistic for multi-location B2B needs (no deep rank tracking or competitor analysis)” DeepSeek V4 Flash · Local listings · paraphrase prompt · soft negative
“Moz Local has a similar aggregator-fed reversion issue noted in comparisons” Muse Glimmer 30B · Local listings · negative prompt · soft negative
Named alongside
The products named in the same answers as Moz Local, over the 133 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Moz Local was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 127 of the 133 answers that named Moz Local and are not a share of its labels.
Domains cited
No domain is on file for Moz Local, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Moz Local stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 1,300 a month (“moz local”)
- AI search demand for its name, est.
- 76 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This edition- First choices
- 29 across its categories
- Named in
- 133 answers
- Its own site cited
- No site on file to match
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Follow Moz Local
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Moz Local's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Moz Local, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Moz Local by email, built from the raw record of the edition. It shows:
- where Moz Local is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Moz Local, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where Moz Local is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Moz Local is among the products AI models recommend first in Local listings management this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.