✦ Lit Mind Maps

AI literature review · Dual-model pipeline

AI literature review that searches real papers—then writes the structure

An AI literature review should not invent a bibliography. Lit Mind Maps couples frontier planning with Semantic Scholar search so Masters and PhD students get a grounded IMRaD draft, not a generic essay.

Create your AI literature review How the tool works
Pipeline in one line: research question → orchestrator plan (PICO & outlines) → Semantic Scholar funnel → mind map & conceptual diagram → IMRaD + APA 7 → Word/PDF.

Why “AI literature review” so often disappoints

Students paste a topic into a chatbot and receive confident prose with fake DOIs. Supervisors rightly reject that. A trustworthy AI literature review generator must (1) query a real scholarly index, (2) show how records were narrowed, and (3) keep synthesis at the level of evidence it actually read—usually titles and abstracts unless full text is supplied.

How Lit Mind Maps generates an AI literature review

  1. Orchestrator (frontier model) designs refined PICO, funnel queries, theoretical lenses, and section outlines.
  2. Worker (completion model) searches Semantic Scholar, builds exclusion counts, draws diagrams, and writes under the plan.
  3. Export packages Introduction, Methodology, Results, Discussion, Conclusion with references.

What you receive

Academic integrity note

Treat the output as a scoping starting package. Verify important claims in full text, follow your institution’s AI-use policy, and never present automated synthesis as unassisted original scholarship.

FAQ

Can AI write a literature review?
Yes—as a structured draft grounded in database search. Lit Mind Maps is built for that, with transparent limits.

Is it enough for a PhD chapter?
It accelerates mapping and drafting; full-text depth and critical argument remain your work.

How much does it cost?
First report from $5 / ₹500. See pricing.

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