Six of twelve models named Site24x7 first on the direct prompt; three named New Relic. Site24x7 was named by ten of the twelve models and New Relic by twelve and Site24x7 carries 25 labels and New Relic 48, so the shares are not directly comparable.
Named in three categories this edition.
Named in five categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 infrastructure monitoring page.
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. Four of four in this category shown.
“often cited as being less scalable and more expensive for larger infrastructures” Mistral Small · negative prompt · soft negative
“1. Site24x7 Infrastructure Monitoring - a comprehensive monitoring platform that integrates server monitoring, website monitoring, application performance monitoring (APM)” Llama 4 Maverick · paraphrase prompt · first choice
“I recommend Cloud-native tools (CloudWatch/Azure Monitor/GCP Ops) as the foundation, with Site24x7 as a unified overlay for hybrid environments and ease of use” GLM 4.7 FlashX · paraphrase prompt · first choice
“I'd recommend Site24x7 if you want the best balance of easy deployment, unified infrastructure monitoring, and cost efficiency” Perplexity Sonar · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“If your B2B product is a modern SaaS application deployed on public cloud infrastructure ... New Relic is highly recommended.” Gemini 3.5 Flash · direct prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.