How to use ChatGPT for research
Blog post from Firecrawl
Firecrawl’s ChatGPT plugin is presented as a research tool that connects users to Firecrawl Alexandria, combining a research-paper index, structured Wikipedia articles, World Bank indicators, and PubMed or PMC records to produce checkable, source-linked briefs. It targets students, analysts, and writers by returning paper identifiers such as DOI, PMID, PMCID, or arXiv IDs, relevant paper passages and citation relationships, current encyclopedia content, and country statistics labeled with their year and indicator. The guidance recommends prompts that specify sources, date ranges, required identifiers, and instructions not to fill missing information, while allowing users to see tool prices before queries run. Research Index searches, passage reads, and related-paper searches are free, whereas Wikipedia calls cost one credit and World Bank and PubMed or PMC searches cost five credits per call. The material contrasts this workflow with unaided ChatGPT, citing risks including fabricated references, incomplete literature retrieval, training-data cutoffs, access barriers, and possible errors in deep research, while noting that Firecrawl’s coverage remains limited to indexed papers, exact Wikipedia titles, and sometimes modeled statistics.
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