Share Deep Research is an AI research assistant built for the long, citation-heavy side of academic work. Instead of answering a question in a paragraph, it searches open academic repositories, evaluates which papers matter, synthesizes their findings and produces a structured report with a real reference list. The platform draws on major sources such as Semantic Scholar, CORE, CrossRef and arXiv, giving it a broad base of peer-reviewed literature to work from.
The tool separates output into two modes. Paper mode produces a focused document of roughly 3,000 words with introduction, literature review, methodology, results, discussion and conclusion. Thesis mode scales up to 10,000+ words with additional front matter such as a theoretical framework and abstract, which suits dissertations, systematic reviews and research proposals. Citations can be rendered in Harvard, APA, MLA, Chicago or IEEE style, and the generated text is editable so you can refine the argument before submitting or presenting it.
Access is straightforward: a free tier provides two research papers to try the workflow, and paid credit packs cover longer or additional projects. Because generation can take from a few minutes up to half an hour for a full thesis, it works best when you plan ahead rather than expecting an instant answer. It is a drafting and synthesis accelerator, not a replacement for your own critical reading.
