I Compared Every Popular AI Literature Review Tool So You Don't Have To

Links and Codes: Consensus: https://get.consensus.app/andy25 (25% off with the code: andy25) Paperpal: https://paperpal.com/?linkId=lp_726731&sourceId=andy&tenantId=paperpal (PAP20 - 20% off) Thesify: https://thesify.ai?fpr=andy60 Thesis AI: https://www.thesisai.io/?via=andrew, ANDY20 - 20% off Elicit: https://elicit.com/?via=andrew UndetectableAI: https://undetectable.ai?fpr=andy SciSpace: https://scispace.com/?via=andy-stapletonai (ANDYS40: 40% off the annual plan, ANDYS20: 20% off the monthly plan) Jenni AI: https://jenni.ai/?via=andy-stapleton (Use codes: andy30, ANDY20) Julius AI: https://julius.ai/?via=andrew-stapleton (ANDY20 — offers 20% off) AnswerThis: https://answerthis.io?ref=andy49 (ANDY20 - 20% off) Anara AI: https://anara.com (ANDY20 - 20 % off) AI tools are now a normal part of academic work, but knowing how to use them well is what actually matters. In this video, I reflect on what it really means to use ai for research, especially when the task is complex, high-stakes, and central to a PhD or research career: the literature review. ▼ ▽ Sign up for my FREE newsletter Join 21,000+ email subscribers receiving the free tools and academic tips directly from me: https://academiainsider.com/newsletter/ ▼ ▽ MY TOP SELLING COURSE ▼ ▽ ▶ Become a Master Academic Writer With AI using my course: https://academy.academiainsider.com/courses/ai-writing-course A lot of people ask me how to do a literature review with ai, and the honest answer is that there is no single “best” tool or one-click solution. What matters is understanding what a good literature review is trying to achieve in the first place, and then deciding where AI genuinely helps and where it doesn’t. Using ai to help with literature review work should feel like building a strong foundation, not outsourcing your thinking. Throughout my own research and teaching, I’ve learned that how to write a literature review with AI is really about process. AI can help surface themes, identify debates, and point you toward relevant papers more quickly, but it still needs to be guided carefully. If you’re wondering how to use AI to do a literature review, the key is treating AI output as editable, provisional, and open to critique — not as something ready to submit. I also talk about the practical realities that researchers care about but that are often ignored: working with long documents, exporting content into tools like Word or LaTeX, refining language so it sounds like you, and avoiding overconfidence in AI-generated text. These details matter when deadlines are real and expectations are high. This video is aimed at PhD students, early-career researchers, and anyone planning a research degree who wants to use AI safely, ethically, and effectively. My goal is not to hype AI, but to show how it can fit into a serious academic workflow without replacing the judgment, reading, and writing that research actually requires. If you’re trying to figure out where AI belongs in your literature review process, and where it absolutely doesn’t, this video is designed to help you think more clearly about that. ................................................ ▼ ▽ TIMESTAMPS 00:00 Intro 01:37 Number of References 05:37 Length 08:41 Readability 11:15 Exportable 14:08 AI Detection 16:27 Outro