Literature review generator ai
- Hours of extraction
- 15.1
- Cells in the matrix
- 252
- Cells done twice
- 50
Every figure on these worksheets is one you typed. Where a page states something outside your own review, it names the document it came from and the day it was read.
An AI literature review generator will produce paragraphs that read like a review, and none of them are the thing a review actually is. A literature review is a METHOD with a record behind it: these databases, searched this way, on this date, returning this many records, of which these were excluded for these reasons, leaving these that were read in full and extracted against these columns. A generator can help you read faster and draft around what you found. It cannot make the record, and the record is the part you will be asked for.
Open the Literature review matrix Free to use. No account, no card, no trial clock.
Keep the search, not just the results
The database, the exact string, the date it was run and the number of records it returned. Six months later nobody can reconstruct these from a folder of PDFs, and every count in a flow diagram is made of them.
Record a decision against every record
Include or exclude, with the reason, against your own written criteria. This is the single thing that separates a review somebody can audit from a pile of papers that happened to be convenient, and it is the field no reference manager has.
Extract the same columns from everything
Decide the columns before you start reading, pull them from every included source, and the synthesis becomes a reading across a table. Deciding them halfway through is how reviewers end up re-reading forty papers.
Will the Literature review generator ai hold how your review is run?
The worksheets need no account, so there is nothing to book a demo for. This form is for the questions they cannot answer: whether Pro holds a particular thing, how a review already half done would come across, or what is missing that you need.
What reviewers ask about the Literature review generator ai
Can an AI write my literature review?
It can produce text about your topic, and submitting that as your own work is misconduct at every institution we are aware of, so the honest answer is no. What AI genuinely helps with is speed inside the method: suggesting search terms, summarising a paper you have read, and flagging candidates at title and abstract stage for a human to decide on. The decision, and the record of it, stays yours.
What actually has to be recorded?
At minimum: every search with its database, string, date and yield; every record with an include or exclude decision and a reason; and the data extracted from what survived. The worked example on this site starts from 412 records returned, of which roughly a fifth were duplicates; about one in six survived title and abstract screening and about half of those survived full text, which lands on 28 included.
Is this only for systematic reviews?
No, but systematic reviews are where it is compulsory. A narrative review chapter benefits from the same record for a selfish reason: when a supervisor asks why a well-known paper is missing, having the exclusion reason on file is a two-minute answer instead of a fortnight of re-reading.