AnswerThis Full Guide: Research Assistant That Actually Supports You From Start To Finish

AnswerThis positions itself as an end-to-end research workspace that turns a single research question into a structured, citation-backed literature review, then carries that work through analysis, drafting, collaboration, and export.

The workflow starts with choosing how to answer: a “quick Q&A” mode for fast, citation-backed research-gap style questions, and a “full review” mode for longer outputs like literature reviews, research proposals, and outlines. From there, users can expand the review into up to 10 sections and add subsections, while also specifying which topics the review should cover. The system then tightens the evidence set using paper filters: minimum citation counts, journal quality thresholds (including a “Q1” option), publication types (journal articles, preprints, book chapters, or all), and research databases such as Semantic Scholar, Open Alex, and PubMed. Users can also include web searches, restrict to government or .edu sources, add patents, and set publication date ranges.

Once the search runs, AnswerThis generates a full literature review broken into sections, complete with tables and a bibliography. Citation formatting can be switched—such as to APA—while the underlying citations update accordingly. As readers move through the draft, they can highlight sentences, attach them to a notebook, and jump directly to the exact source citation (including metadata like citation count and publication date). The interface also supports saving selected papers to a library, exporting the review or extracted tables to formats like CSV, and reorganizing paper tables by citation counts, publication dates, keywords from abstracts, or alphabetical order.

A key step comes after filtering down to the most relevant papers: “next step” actions. Users can create a new table containing only the selected papers and then run biblometric analysis to generate trend visuals—publications by year, citations by year, combined publication/citation trends, and a citation impact view that helps identify when key papers appeared and who cites them. The system also surfaces top terms, top authors, and top authors by impact. For deeper synthesis, users can select multiple papers and “chat with papers” to ask questions like what research gaps exist, with answers that include citations. Clicking those citations takes users to the precise lines that support the claim.

AnswerThis also supports citation maps built from a DOI, showing how papers connect, and offering sorting by most cited, most connected, or top contributing authors. If the needed literature still isn’t found, users can search new papers using prompts or keywords while reapplying the same citation-quality, publication-type, and database filters.

Drafting and quality control happen in a notebook-style writing canvas. Saved notes can be exported to PDF, DOCX, Markdown, or LaTeX, and the system can import the generated literature review into the writing space with citations intact. It can reformat citations to different styles, expand highlighted text (“go deeper”), and add new sources. For compliance checks, an analysis panel can run plagiarism detection and AI detection—either for the entire document or selected text—flagging specific lines for revision.

Beyond literature review and writing, the platform includes a library manager for uploading PDFs or importing from tools like Zotero, Mendeley, and BibTeX, plus table-based extraction of structured fields such as research gaps and methodologies. It also offers diagram generation (flowcharts, mind maps, pie charts) and an “agent” builder that can create a custom research assistant trained on selected databases and user-provided PDFs, complete with a landing page and shareable invitations for teammates. The overall promise is a single system that carries research from question to publishable draft, with citations, analytics, and collaboration built in.