Uberall vs Birdeye
Zero of fourteen models named Uberall first on the direct prompt; one named Birdeye. Uberall was named by thirteen of the fourteen models and Birdeye by fourteen and Uberall carries 36 labels and Birdeye 34, so the shares are not directly comparable.
Berlin, Germany, founded 2013. Named in three categories this edition.
Named in eight 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
UberallFirst choices, of fourteen modelsBirdeye
Across every category in the October 2026 Edition, Uberall and Birdeye were named in the same answer seventy-seven times, of the 133 answers naming Uberall and the 316 naming Birdeye. In those answers Birdeye took the first choice three times and Uberall thirteen.
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 4.1 Fast | | | ||||
| 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 | | |
Uberall Birdeye first choice named as an alternative argued againstblank: not namedEach cell is one answer, Uberall on the left and Birdeye on the right.The direct prompt
Birdeye first, Uberall not the choice
1 of 14 modelsUberall was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Uberall0%#8 of 9Birdeye0%#7 of 9Uberall2%#7 of 10Birdeye2%#8 of 10What 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.
“Uberall is positioned for "growth at scale" and uses request-based pricing for some plans ... but these are generally pricier” GPT-5.4 mini · budget prompt · soft negative
“like Yext or Uberall) are designed for large enterprises and franchises. They are expensive” Gemini 3.5 Flash · budget prompt · soft negative
“generally cost more and are better suited to larger budgets or multi-location enterprises” Perplexity Sonar · budget prompt · soft negative
“Uberall is positioned as built for multi-location brands to control, optimize and protect listings across 150+ directories.” Muse Glimmer 30B · scale prompt · first choice
“Choose Yext or Uberall for enterprise‑grade automation, compliance, and direct publisher integrations.” GLM 4.7 FlashX · comparative prompt · first choice
“Best for distributing data to a vast number of obscure directories/APIs. | Interface can be complex; pricier than BrightLocal.” Qwen 3.7 Flash · paraphrase prompt · alternative
What the models said about Birdeye
No label in this category carried a quote.
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.