Zero of fourteen models named ReviewTrackers first on the direct prompt; zero named BrightLocal. ReviewTrackers was named by ten of the fourteen models and BrightLocal by eleven and ReviewTrackers carries 17 labels and BrightLocal 15, so the shares are not directly comparable.
Named in one category this edition.
Named in four 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 review and reputation management page.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Platforms like Birdeye, GatherUp, and ReviewTrackers are built for multi-location enterprise.” DeepSeek V4 Flash · scale prompt · first choice
“Legitimate, well-reviewed tools in the space include Birdeye, Podium, ReviewTrackers, GatherUp, Chatmeter, Widewail, Broadly, and Hootsuite.” DeepSeek V4 Flash · negative prompt · alternative
“Focuses on monitoring, alerts, and reporting across 200+ sites. Popular for sentiment analysis and enterprise compliance.” Grok 4.20 · scale prompt · alternative
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.