Literature Review × AI
Part 4

Extra Tools

The four pillars in Part 2 cover most of what you'll need — but seven specialist tools earn a permanent spot in a researcher's stack. Bookmark the ones that fit your discipline.

AI search
Best for

Perplexity

Conversational search with inline citations.

  • Great for quick scoping queries with traceable sources.
  • Academic focus mode prioritises peer-reviewed work.
  • Spaces let you collect threads around a topic.
Fast, cited starting points
Visit Perplexity
Lit review
Best for

AnswerThis

AI literature review assistant built around your research question.

  • Auto-generates structured lit reviews from a question.
  • Pulls from millions of open-access papers.
  • Exports tables and references in BibTeX / Word.
End-to-end lit review drafts
Visit AnswerThis
Evidence
Best for

Consensus

Ask a yes/no research question, get the literature's verdict.

  • Aggregates findings across studies with a confidence meter.
  • Filters by study design, sample size, journal quality.
  • Excellent for medicine, psychology, social sciences.
Hypothesis testing across the field
Visit Consensus
Discovery
Best for

Semantic Scholar

AI-powered academic search engine from AI2.

  • TLDR summaries on every paper.
  • Citation graph visualisation.
  • Free, open API for systematic reviews.
Citation discovery & graphs
Visit Semantic Scholar
Discovery
Best for

Research Rabbit

Spotify-for-papers — visual citation exploration.

  • Visual network of related & citing papers.
  • Collections that update as new work appears.
  • Pairs beautifully with Zotero.
Snowballing & staying current
Visit Research Rabbit
Critique
Best for

Logically.app

AI critic that pressure-tests arguments and finds logical gaps.

  • Identifies fallacies, weak inferences, missing evidence.
  • Useful for self-review before submission.
  • Complements rather than replaces peer review.
Self-critique of your writing
Visit Logically.app
Reading
Best for

SciSpace

AI reading copilot for PDFs (formerly Typeset).

  • Plain-language explanations of dense passages.
  • Cross-paper Q&A across your library.
  • Author / journal discovery built in.
Reading & decoding hard papers
Visit SciSpace

A closing principle

No tool replaces reading. The best researchers in 2026 will be those who use AI to read more — not less. Pick two or three tools from this module, build the habit, and let the rest go.

Literature Review × AI

An interactive workshop module on AI-assisted literature review — mindset, tools, ethics and extras.

© 2026 Chuah Kee Man (PhD) - www.chuahkeeman.com