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Local listings management · November 2026 Edition

Moz Local vs Yext

Zero of fourteen models named Moz Local first on the direct prompt; three named Yext. Both were named by all fourteen models and Moz Local carries 50 labels and Yext 66, so the shares are not directly comparable.

Moz Local

accepted challenger

Named in three categories this edition.

Yext

criticized challenger

New York City, United States, founded 2006. Named in five categories this edition.

First-choice share21%15%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%47%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 10; printed, not drawn.
Labels5066A 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 Yext · Moz Local vs Semrush Local

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 modelsYext
Direct032 against Moz Local · 5 against Yext
Paraphrase012 against Moz Local · 7 against Yext
Comparative16
Budget-constrained1107 against Yext
Scale-constrained041 against Moz Local · 1 against Yext
Negative006 against Moz Local · 11 against Yext
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 Yext were named in the same answer 117 times, of the 141 answers naming Moz Local and the 295 naming Yext. In those answers Yext took the first choice twenty-one times and Moz Local twenty-four.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Moz Local and Yext 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 YextML first choiceML named as an alternativeML argued againstblank: not namedEach cell is one answer, Moz Local on the left and Yext on the right.

The direct prompt

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

Yext first, Moz Local not the choice

3 of 14 modelsMoz Local was named in the answer but not as the choice, or not at all.
GPT-5.4 miniYext alternatives: SOCi, Uberall
Perplexity SonarYext alternatives: Birdeye, BrightLocal, Semrush Local, Uberall
GPT-6 LunaYext alternatives: BrightLocal, Uberall

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20SOCi alternatives: Birdeye, Semrush Local, Yext
Mistral SmallBrightLocal alternatives: GBPPromote, Moz Local, Yext
Kimi K2BrightLocal alternatives: Moz Local, Semrush Local, Synup
MiniMax M2.5SOCi, Semrush Local alternatives: Birdeye, Yext
Muse Glimmer 30BBrightLocal alternatives: Birdeye, Moz Local, Yext

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5BrightLocal, Semrush Local alternatives: Advice Local, Synup
Gemini 3.5 FlashBrightLocal alternatives: Semrush Local, Uberall
DeepSeek V4 FlashBirdeye, BrightLocal alternatives: Uberall
Llama 4 Maverickno first choice
Qwen 3.7 FlashBrightLocal alternatives: Semrush Local, Uberall
GLM 4.7 FlashXBrightLocal alternatives: Birdeye, Semrush Local

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-nine points.
Moz Local29%#2 of 12
Yext0%#12 of 12
The full small business standing →
Mid-marketThe figures above
Moz Local leads by six points.
Moz Local21%#2 of 10
Yext15%#3 of 10
The full mid-market standing →
Enterprise
The order flips: Yext leads at enterprise.
Yext52%#1 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 Yext

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Yext: widely regarded as powerful but notoriously expensive and complex for smaller entities. Users frequently complain about high price hikes and poor support tiers” Qwen 3.7 Flash · negative prompt · hard negative
“Yext is one such platform that has received negative reviews and is not recommended for mid-sized B2B companies” Llama 4 Maverick · negative prompt · hard negative
“Yext – rental model / post-cancellation drift ... "You are renting your citations, not building an asset."” Muse Glimmer 30B · negative 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
“Yext | Enterprise brands, multi-location franchises | ~$16/month (per platform) | Centralized management, massive publisher network (200+)” GLM 4.7 FlashX · comparative prompt · first choice
“I'd usually recommend Yext if your top priority is centralized listings control, governance, and consistency across many locations” GPT-5.4 mini · paraphrase 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.