Yext vs Semrush Local
Three of fourteen models named Yext first on the direct prompt; two named Semrush Local. Both were named by all fourteen models and Yext carries 66 labels and Semrush Local 47, so the shares are not directly comparable.
New York City, United States, founded 2006. Named in five 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.
By framing
YextFirst choices, of fourteen modelsSemrush Local
Across every category in the November 2026 Edition, Yext and Semrush Local were named in the same answer 107 times, of the 295 answers naming Yext and the 122 naming Semrush Local. In those answers Semrush Local took the first choice three times and Yext twenty-eight.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | | |
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | | | |
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | | |
Yext Semrush Local first choice named as an alternative argued againstblank: not namedEach cell is one answer, Yext on the left and Semrush Local on the right.The direct prompt
Yext first, Semrush Local an alternative
3 of 14 modelsSemrush Local was named in the answer but not as the choice, or not at all.Semrush Local first, Yext an alternative
2 of 14 modelsYext was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Semrush Local2%#6 of 12Yext0%#12 of 12Yext15%#3 of 10Semrush Local4%#4 of 10What 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
What the models said about Semrush 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.
“more cost-effective, but usually better for smaller footprints or simpler needs than a typical mid-market B2B rollout” GPT-5.4 mini · direct prompt · soft negative
“generally more expensive or more enterprise-oriented, so usually not ideal for a limited budget” GPT-5.4 mini · budget prompt · soft negative
“the per-location cost can be difficult to justify if listings are your only requirement” Perplexity Sonar · negative prompt · soft negative
“BrightLocal and Semrush tend to offer the best balance of features, control, and affordability for mid-market companies.” Claude Haiku 4.5 · direct prompt · first choice
“I'd recommend starting with SOCi or SEMrush” MiniMax M2.5 · direct prompt · first choice
“Combines listings with broader SEO tools (rank tracking, audits). Great if your team already uses Semrush.” Grok 4.20 · scale 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.