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Homepage / Using AI tools for your literature review

Using AI tools for your literature review

27/07/2026

There are a proliferation of AI toolthat can help you organise your life, work and study. This post focuses on academic or scholarly tools that have been developed to enhance the literature searching process, whether for independent research, an assignment or thesis. Bear in mind that these predominantly relate to finding journal/research papers, and not technicalbusiness or trade sourcesuch as standardsmarket research, industry reports or financial data. So if you are looking for these types of technical, business or trade informationuse our specialist library databases. Library staff have published guidance on the tools available to support your studies, as well as key considerations when using AI. 

Using AI tools

See Figure 1 for the do’s and don’ts of using AI.

Image of a table of using AI do's and don'ts. Do not: Use AI to replace reading, writing or thinking; Input personal or sensitive information ; Use AI for systematic literature reviews, as outputs are not comprehensive or reproducible; Use AI as a substitute for your own judgement; Breach copyright law or publisher restrictions; Rely on AI-generated sources without evaluating their qualityDo: Verify all summaries and references against original sources; Acknowledge your use of AI tools appropriately; Follow assignment guidance for AI use; Follow rules on the use of generative AI; Consider bias, hallucinations, and sustainability; Use AI to help identify keywords, summarise a research area, plan and structure, give feedback; Consider quality of original sources and papers retrieved

Figure 1: Do’s and don’ts of using AI. Note: Image generated using ChatGPT 5.5. The image was generated in response to this prompt: ‘See the uploaded table covering do’s and don’ts of using AI. Please make it a more visually interesting image. Don’t change the text or meaning.’ Then uploading text in a table which the author had created in Word.

Always use AI as a tool, not an author.  Further guidance on these areas can be found in the AI and Generative AI section of the Library website. 

Examples of some AI research tools 

Research Rabbit – a free tool which maps out connected papers, allowing users to group research papers into shareable playlist-style collections for which the tool can then make recommendations.

  • Free to access – just create an account 
  • Quickly finds relevant papers from a single starting paper  
  • Visual maps show connections between studies  
  • Reveals research trends over time  
  • Helps organise your sources  
  • Allows collaboration with others 
  • Keeps you up to date with alerts  
  • Core data providers: Semantic Scholar, OpenAlex, Crossref 

 

SciSpace – a tool for exploring academic literature, offering chat-based interaction, summarisation, and insight generation. Can also support writing and research output development.  

SciSpace logo

  • Free version with restricted number of answers, uploads and reviews  
  • type a research question and receive a synthesised answer with citations. 
  • add papers to your library and run AI extraction columns that compare methodologies, conclusions, and limitations  
  • Chat with PDF function lets you interrogate individual documents in natural language, with citations 
  • Can convert research papers into AI-narrated video summaries 
  • Core data providers: Semantic Scholar, OpenAlex, Google Scholar 

 

Consensus – a tool that brings you a yes/no ‘consensus’ of the literature in your research area, or in response to a closed question.  Screenshot - Consensus

  • Free version with limited ‘pro’ questions allowed 
  • Ask a yes/no question or for research in a particular area 
  • Summarise research with links to source articles  
  • Create a dialogue about the research by asking follow-up questions 
  • Can draft tables, diagrams and literature reviews 
  • Integrate with ChatGPT, Claude 
  • Has a ‘medical mode’ for medical research 
  • Literature review support including search strategy using ‘deep search’ mode 

 

Keenious – a tool to help find literature, as well as get summaries of uploaded or selected articles, notes and an interactive chat.screenshot - keenious logo

  • Free version with limit to questions  
  • Upload an article, draft or notes to get a summary and find related content 
  • Ask follow-up questions in chat 
  • Doesn’t store uploaded files or train on your data making it a good option for copyright issues. 

For further AI research tools, see AI tools for research

If you decide to use one of these tools, remember to use them alongside the Library databases.  Only the Library databases have access to journal articles that are behind pay-walls.

And if you are undertaking a systematic literature review, these tools might help with preliminary research and idea generation, but should be used with care as they are often non-transparent and non-reproducible, making it difficult to demonstrate a rigorous, auditable methodology that meets systematic review standards.  We recommend you always check with your supervisor before using them.

Other useful links

Still got questions about using AI in your literature review?  Contact library@cranfield.ac.uk and we’ll be happy to help you.

 

Banner image by Brian Penny from Pixabay.

 

Helen Holmes and Angela Sparks

Written By: Helen Holmes

An Assistant Business Librarian since 2023, Helen provides support for business and management students and staff. Angela is an Academic Librarian leading on apprenticeships and study skills.

An Assistant Business Librarian since 2023, Helen provides support for SOM students and staff

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