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Local listings management · November 2026 Edition

Moz Local vs Uberall

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.

Moz Local

accepted challenger

Named in three categories this edition.

Uberall

accepted challenger

Berlin, Germany, founded 2013. Named in four categories this edition.

First-choice share21%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%21%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 10; printed, not drawn.
Labels5048A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Moz Local reading right to left. Rank and label count are printed, not drawn.BrightLocal was named alongside these two in ten of the fourteen direct answers. BrightLocal vs Moz Local · BrightLocal vs Uberall · Moz Local vs Yext

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Moz LocalFirst choices, of fourteen modelsUberall
Direct002 against Moz Local · 2 against Uberall
Paraphrase002 against Moz Local · 2 against Uberall
Comparative10
Budget-constrained1103 against Uberall
Scale-constrained011 against Moz Local
Negative026 against Moz Local · 3 against Uberall
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Moz Local and Uberall stood in it.
ModelDirectMLParaphraseMLComparativeMLBudget-constrainedMLScale-constrainedMLNegativeML
Claude Haiku 4.5MLMLML
GPT-5.4 miniMLMLML
Gemini 3.5 FlashMLMLML
Perplexity SonarMLMLML
Grok 4.20MLMLMLMLML
Mistral SmallMLMLML
DeepSeek V4 FlashMLMLMLML
Llama 4 MaverickMLML
Qwen 3.7 FlashMLML
Kimi K2MLMLMLMLML
GLM 4.7 FlashXMLMLMLML
MiniMax M2.5MLMLML
GPT-6 LunaML
Muse Glimmer 30BMLMLML
ML Moz Local UberallML first choiceML named as an alternativeML argued againstblank: not namedEach cell is one answer, Moz Local on the left and Uberall on the right.

The direct prompt

The plain question, one answer per model, grouped by where Moz Local and Uberall stood in it.

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniYext alternatives: SOCi, Uberall
Gemini 3.5 FlashBrightLocal alternatives: Semrush Local, Uberall
Perplexity SonarYext alternatives: Birdeye, BrightLocal, Semrush Local, Uberall
Mistral SmallBrightLocal alternatives: GBPPromote, Moz Local, Yext
DeepSeek V4 FlashBirdeye, BrightLocal alternatives: Uberall
Qwen 3.7 FlashBrightLocal alternatives: Semrush Local, Uberall
Kimi K2BrightLocal alternatives: Moz Local, Semrush Local, Synup
GPT-6 LunaYext alternatives: BrightLocal, Uberall
Muse Glimmer 30BBrightLocal alternatives: Birdeye, Moz Local, Yext

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5BrightLocal, Semrush Local alternatives: Advice Local, Synup
Grok 4.20SOCi alternatives: Birdeye, Semrush Local, Yext
Llama 4 Maverickno first choice
GLM 4.7 FlashXBrightLocal alternatives: Birdeye, Semrush Local
MiniMax M2.5SOCi, Semrush Local alternatives: Birdeye, Yext

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Moz Local leads by twenty-seven points.
Moz Local29%#2 of 12
Uberall2%#7 of 12
The full small business standing →
Mid-marketThe figures above
Moz Local leads by nineteen points.
Moz Local21%#2 of 10
Uberall2%#6 of 10
The full mid-market standing →
Enterprise
The order flips: Uberall leads at enterprise.
Uberall14%#3 of 10
Moz Local0%#10 of 10
The full enterprise standing →

What 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.

“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

What the models said about Uberall

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
Also compared

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.