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OpinioAI의 대안 12개를 비교하세요. 디렉터리는 이 도구들을 월간 웹 트래픽 기준으로 순위를 매기고 가격, 성장률, 주요 시장을 보여줍니다.
| 1 | Perplexity | perplexity.ai | 8831.02만 | -339.5만 (-3.7%) | 무료+유료 | 미국 | 4.7 | 비교 |
| 2 | Airtable AI Assistant | airtable.com | 2491.79만 | -89.53만 (-3.5%) | 무료+유료, 무료 체험, 유료, 가격 문의 | 미국 | 4.6 | 비교 |
| 3 | Kimi AI | kimi.com | 1963.23만 | -598.38만 (-23.4%) | 무료 | 중국 | 4.7 | 비교 |
| 4 | Prolific | prolific.com | 1869.77만 | -35.2만 (-1.8%) | 유료 | 미국 | 4.6 | 비교 |
| 5 | Thomson Reuters | thomsonreuters.com | 1791.94만 | 93.38만 (+5.5%) | 가격 문의 | 미국 | 4.7 | 비교 |
| 6 | Semantic Scholar | semanticscholar.org | 819.87만 | 45.07만 (+5.8%) | 무료 | 미국 | 4.8 | 비교 |
| 7 | Runway | runwayml.com | 749.84만 | 108.61만 (+16.9%) | 무료+유료, 유료, 가격 문의 | 미국 | 4.6 | 비교 |
| 8 | Consensus | consensus.app | 601.44만 | -7.14만 (-1.2%) | 무료+유료 | 미국 | 4.7 | 비교 |
| 9 | Google Gemma 오픈 모델 | ai.google.dev | 490.09만 | -76.28만 (-13.5%) | 무료+유료, 유료 | 미국 | 4.8 | 비교 |
| 10 | SciSpace | scispace.com | 446.41만 | 35.54만 (+8.6%) | 무료+유료 | 미국 | 4.6 | 비교 |
| 11 | Branded | gobranded.com | 370.47만 | 22.9만 (+6.6%) | 가격 문의 | 미국 | 4.1 | 비교 |
| 12 | WolframAlpha | wolframalpha.com | 310.11만 | 16.34만 (+5.6%) | 무료+유료 | 미국 | 4.7 | 비교 |

Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.