Semrush Local vs Birdeye
Two of fourteen models named Semrush Local first on the direct prompt; one named Birdeye. Both were named by all fourteen models and Semrush Local carries 47 labels and Birdeye 39, so the shares are not directly comparable.
By Semrush, Boston, United States, founded 2008. Named in two categories this edition.
Named in nine 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
Semrush LocalFirst choices, of fourteen modelsBirdeye
Across every category in the November 2026 Edition, Semrush Local and Birdeye were named in the same answer seventy-one times, of the 122 answers naming Semrush Local and the 380 naming Birdeye. In those answers Birdeye took the first choice one time and Semrush Local four.
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 | | | |
Semrush Local Birdeye first choice named as an alternative argued againstblank: not namedEach cell is one answer, Semrush Local on the left and Birdeye on the right.The direct prompt
Semrush Local first, Birdeye an alternative
2 of 14 modelsBirdeye was named in the answer but not as the choice, or not at all.Birdeye first, Semrush Local not the choice
1 of 14 modelsSemrush Local 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
4 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 12Birdeye0%#11 of 12Semrush Local4%#4 of 10Birdeye2%#7 of 10Birdeye5%#4 of 10Semrush Local0%#7 of 10What 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
What the models said about Birdeye
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“113+ BBB complaints in the last three years... High cost per location (from $299/month).” Grok 4.20 · negative prompt · hard negative
“avoid Birdeye, Yext, Surefire Local, 411 Locals, and Thryv” DeepSeek V4 Flash · negative prompt · hard negative
“Avoid Yext, Uberall, and Birdeye at this stage” DeepSeek V4 Flash · paraphrase prompt · hard negative
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.