Two of twelve models named GoPerfect first on the direct prompt; zero named Manatal. GoPerfect was named by eight of the twelve models and Manatal by ten and GoPerfect carries 11 labels and Manatal 19, so the shares are not directly comparable.
Named in three categories this edition.
Named in seven 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 AI recruiting assistants 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. Three of three in this category shown.
“GoPerfect ranks first because it is the only platform that covers sourcing, screening, and outreach autonomously in a single agent” Claude Haiku 4.5 · direct prompt · first choice
“GoPerfect offers per-position pricing ($250/month per open role) that aligns costs with actual hiring activity” Llama 4 Maverick · budget prompt · first choice
“Best Overall Value (Pay-Per-Use): GoPerfect ... widely considered the most efficient choice for startups.” Qwen 3.7 Flash · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“built for SMBs that want one platform instead of a toolchain, though it's not as sophisticated as enterprise platforms” Claude Haiku 4.5 · comparative prompt · soft negative
“I'd suggest starting with Manatal at $19/user/month or Pin if you want to test before committing (free tier)” MiniMax M2.5 · budget prompt · first choice
“Manatal ($15/user/month) offers the best combination of AI features, affordability, and ease of use” DeepSeek V4 Flash · budget 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.