Cite This For Me
Cite This For Me is an AI-powered Research AI tool — AI bibliography and citation tool. Best for: Research AI. Pricing: Freemium (GateOnAI Score: 49/100).
AI bibliography and citation tool
Creates accurate citations and bibliographies from URLs, DOIs, ISBNs, or manual entries. Supports over 10,000 citation styles, including APA, MLA, Chicago, and Harvard. Pulls metadata automatically for books, journal articles, websites, and legal documents, reducing manual data entry. Generates in-text citations and full reference lists in a single click, and lets users edit any field before finalizing. Offers a browser extension that captures source details while you browse, then syncs them to your online account for later use. Provides a bibliography builder that arranges entries alphabetically or by order of appearance. Lets users save projects and reuse sources across multiple papers. Includes a citation style guide that explains formatting rules for each supported style. Offers export options to Word, Google Docs, plain text, and citation files such as BibTeX and RIS, preserving formatting. Enables collaboration by sharing project links with teammates, who can add or edit citations in real time. Mobile app lets students capture sources on the go and sync them back to the web dashboard. Auto‑updates citation numbers when entries are added or removed, keeping the reference list consistent. Designed for university students, researchers, and teachers who need quick, reliable references. Ideal for essay writing, journal submissions, grant proposals, and thesis drafts where citation accuracy matters. Free tier allows up to 20 citations per month and displays ads; paid plans remove ads, raise the limit to unlimited citations, and add premium export formats and priority support. Compared with open‑source managers like Zotero, it trades deep library features for a faster, web‑first workflow and built‑in style guidance. Pricing starts at $4.99 per month, with annual discounts and institutional licensing options for campuses.
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Works Well With
Tools that Cite This For Me genuinely connects with, based on real input/output compatibility data (not just shared category):
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