- AI research tools at a glance
- AI tools for finding, reading and citing research
- A research workflow that uses AI safely
- What UKRI says about generative AI
- Discovery tools or writing tools?
- Red flags when an AI tool cites research
- Keeping your references clean
- My advice on choosing AI tools for researchers
- Frequently asked questions
The best AI tools for researchers each handle one stage of the work: finding relevant papers, mapping how they connect, reading dense PDFs and drafting with citations. Use them to speed up discovery and reading, check every claim against the original paper, and never paste confidential or unpublished work in without checking your funder's rules.
AI research tools have changed how people start a literature search. Instead of trying keyword after keyword, you can ask a question in plain English and see which papers address it, or start from one good paper and map everything that cites it. The catch is that these tools summarise, and summaries can be wrong.
This list covers search, citation mapping, PDF reading and writing assistants. For the writing stage, see how AI tools help you write a research paper faster, and if you interview people for your research, here's my guide to interview transcription software for academics.
AI research tools at a glance
Here's what each tool is, what it's good for and whether its own site names a free plan, a trial or neither. The list is alphabetical and in no particular order.
| Tool | Type | Good for | Free plan |
|---|---|---|---|
| Consensus | Research search | Quick answers from studies | No |
| Elicit | Literature review | Systematic reviews and data extraction | No |
| Inciteful | Citation explorer | Finding papers you missed | No |
| Iris.ai | Research platform | Organisations analysing documents | No |
| Jenni | Academic writing | Drafting with citations | Trial only |
| Keenious | Paper recommendations | Finding sources while you write | Yes |
| Petal | Document analysis | Chatting with your own PDFs | Trial only |
| SciSpace | Paper reader | Understanding dense papers | Trial only |
| Scite | Citation context | Checking how a paper was cited | Trial only |
| Sourcely | Source finder | Backing up claims in essays | Trial only |
AI tools for finding, reading and citing research
Consensus
Best for: Anyone who wants to ask a research question in plain English and see what published studies say, with the papers listed.
Elicit
Best for: Researchers who want AI help at every stage, from a quick answer to a multi-month literature review they can check.
Inciteful
Best for: PhD students starting a new topic who want to see which papers cite each other and spot the important ones quickly.
Iris.ai
Best for: Research teams in companies who want AI to search, filter and summarise large sets of papers and technical documents.
Jenni
Best for: Students and academics drafting papers who want help with wording while keeping every claim traceable to its source.
Keenious
Best for: Writers working in Word or Google Docs who want relevant papers suggested from the text they've already drafted.
Petal
Best for: Researchers with folders of PDFs who want to ask questions across their own documents and keep notes in one place.
SciSpace
Best for: Students and early-career researchers reading papers outside their field who want explanations of dense sections in plain language.
Scite
Best for: Academics checking a key finding who want to know whether later papers supported or disputed it before they rely on it.
Sourcely
Best for: Essay writers who've finished a draft and want credible sources found for each claim, with citations ready to copy.
A research workflow that uses AI safely
- Start with a clear question and the key terms people in the field use.
- Use an AI search tool to find candidate papers, then read the abstracts yourself.
- Map citations from the two or three strongest papers to find the ones you missed.
- Use AI to explain dense sections, then check the explanation against the paper.
- Cite only sources you've opened and read, never a summary of a summary.
What UKRI says about generative AI
UK Research and Innovation says applicants must not use generative AI tools to generate an entire application, or sections of one, without human involvement. Its assessors must not use generative AI in assessment except for language refinement, and UKRI notes that the confidentiality of information entered into generative AI tools is not guaranteed.
That last point applies to everyone. Before you paste unpublished data, a draft paper or a grant proposal into any AI tool, check your funder's, publisher's and institution's rules, and read the tool's data policy. Confidentiality is the rule people break without noticing.
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Discovery tools or writing tools?
Discovery tools help you find and understand research: search, citation maps and PDF readers. Writing tools help you draft, paraphrase and cite. Discovery tools save hours of searching; writing tools carry more risk, because they can make your work sound fluent while hiding a weak or wrong claim.
If you're short on time, start with discovery. Better sources make better writing, with or without AI.
Red flags when an AI tool cites research
- A reference you can't find on the publisher's site or in a library search.
- A summary that sounds certain about a finding the paper calls preliminary.
- Quotes that don't appear anywhere in the original text.
- Sources that are all from one author or one journal.
- No way to see which passage a claim came from.
The last one matters most. Tools that link every claim to the passage it came from make checking quick; tools that don't leave you doing all the work yourself.
Keeping your references clean
Use a reference manager alongside AI tools, and add a paper to it only after you've opened it yourself. That one habit stops a summarised or invented reference from slipping into your bibliography.
Note which tool and which question led you to each source. If a reviewer asks how you searched, you'll have an answer, and you'll be able to repeat the search when your topic moves on.
Do you make AI tools for researchers? Tool makers can ask to be considered for a featured place on this list.
My advice on choosing AI tools for researchers
Pick one discovery tool and one reading tool, and learn them well, rather than signing up for everything. Most of the time savings come from getting fluent with a couple of tools, not from switching between ten.
And keep a human check at the end. Open every source you cite, confirm it says what the AI told you it says, and you'll get the speed without the embarrassment of a made-up reference.
Frequently asked questions
What are the best AI tools for researchers?
It depends on the stage of your work. Some tools find papers, some map citations, some explain PDFs and some help you draft with sources.
Can AI tools find research papers?
Yes. AI search tools let you ask a question in plain English and return relevant papers, though you should still read them yourself.
Is it safe to upload unpublished work to AI tools?
Check your funder's and institution's rules first. UKRI notes the confidentiality of information entered into generative AI tools isn't guaranteed.
Can I use AI to write a grant application?
UKRI says applicants must not use generative AI to generate an entire application, or sections of one, without human involvement.
Do AI research tools make mistakes?
Yes. Summaries can miss nuance or be wrong, so check every claim against the original paper before you rely on it.
