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Side-by-side comparison · Research & Search

Elicit vs Kagi vs NotebookLM

Everything that matters when choosing between them, in one place: our rating, what each can do, what they cost, and the trade-offs.

Elicit

3.8

From $49/user/mo

Kagi

4.3

From $5/mo

Best overall

NotebookLM

4.5

From $4.99/mo

Comparing 3 tools, the maximum.

At a glance

Pick it if: Researchers, students and analysts who need to review a lot of papers carefully.

Kagi4.3

Pick it if: People who search all day for work and are tired of ads and spammy results.

Best overallBest valueEasiest to use

Pick it if: Anyone who needs to understand or explain a set of documents they don't have time to read properly.

Overview

AttributeElicitKagiNotebookLM
In one lineFinds, screens and summarises research papers into a comparison table.A paid search engine with no ads or tracking, plus an AI assistant that cites sources.Upload your own documents and ask questions that only draw on those sources.
Pricing modelFreemiumPaidFreemium
Starting price$49/user/mo$5/mo$4.99/mo
Free plan Yes No Yes
Works with Claude Code No Yes No

Rating breakdown

Our scores out of 5. The higher bar in each row is highlighted.

AttributeElicitKagiNotebookLM
Overall rating3.84.34.5Winner
Ease of useHow quickly someone non-technical gets value from it.
3.5
4.5
5.0
FeaturesHow completely it covers its own job, and how well the pieces fit together.
4.5
4.5
4.5
Output qualityHow good the results are before you fix them.
4.5
4.5
4.0
Value for moneyWhat you get for the price, including the free plan.
3.0
3.5
5.0
Speed & reliabilityHow fast it is and how often it falls over.
3.5
4.5
4.0

Feature comparison

A tick means it does this today. A dash means we haven't checked.

AttributeElicitKagiNotebookLM
Access & platform
Free plan Yes No Yes
Mobile app No Yes Yes
Desktop app No No No
Browser extension No Yes Yes
API access Yes Yes–
Teams & business
Team workspace Yes Yes Yes
Enterprise plan or SSO Yes No Yes
Connects to other apps Yes Yes Yes
Open source or self-hosted No No No
AI abilities
Works with your files Yes Yes Yes
Understands images– Yes Yes
Makes images No No Yes
Makes video No No Yes
Writes code No Yes No
Runs agents or automations Yes No No
Learns your brand or style No– No
Works in many languages– Yes Yes
Capabilities score7/ 179/ 1711/ 17

Pricing

Plans as listed on each vendor's site when we last checked. Confirm before you buy.

AttributeElicitKagiNotebookLM
Plans

Basic

Free

Searching and reading a few papers.

Trial

Free

Seeing the difference.

FreeOur pick

Free

Almost everyone. Try this before paying for anything.

ProOur pick

$49/user/mo billed yearly

Anyone doing a real literature review.

Starter

$5/mo

Light searchers.

Google AI Plus

$4.99/mo

People who hit the free limits now and then.

Scale

$169/user/mo billed yearly

Teams running many reviews at once.

ProfessionalOur pick

$10/mo

Anyone who searches every day.

Google AI Pro

$19.99/mo

Heavy users who also want Gemini Pro and Deep Research.

Enterprise

Custom

Universities, pharma and large research groups.

Ultimate

$25/mo

Heavy AI users.

Google AI Ultra

From $99.99/mo

Power users who want the top of everything Google offers.

Duo and Family

Duo $14/mo, Family $20/mo

Couples and households.

Which plan to pickStay on Basic unless you have a review to run. When you do, Pro has everything one person needs, and the yearly commitment is the only way to get the quoted price. Scale is for teams, not for a solo researcher who wants more headroom.Use the free trial for a week, then take Professional. 300 searches on Starter goes in a couple of weeks for most people. Only pay for Ultimate if you'd otherwise pay for an AI chat subscription, since it bundles the top models. Yearly billing saves 10%.Stay on Free until it stops you doing something. If that happens, Google AI Pro is the sensible step because it also upgrades Gemini and Deep Research, which you will probably want anyway. AI Plus is a cheap middle step if NotebookLM is all you care about.

Key features

AttributeElicitKagiNotebookLM
Standout features
  • Research Reports
  • Extraction tables
  • Systematic Review workflow
  • Chat with papers
  • Routines
  • Library and sharing
  • Ad-free results
  • Personalised ranking
  • Lenses
  • Kagi Assistant
  • Summaries
  • API and MCP
  • Grounded answers
  • Many source types
  • Audio and Video Overviews
  • Studio outputs
  • Discover sources
  • Sharing

Pros and cons

AttributeElicitKagiNotebookLM
Pros
  • Extraction tables save days on a literature review
  • Every answer links back to the passage in the paper
  • Systematic review workflow records why papers were included or excluded
  • Routines keep a review current without you remembering to check
  • Free plan is useful for reading and summarising
  • No ads, sponsored results or tracking
  • You control which sites show up and where
  • AI assistant with a choice of top models
  • Fair pricing: unused months are credited back
  • Answers only from your sources and cites the exact passage
  • Free plan is big enough for most small businesses
  • Accepts PDFs, Docs, websites, YouTube and audio as sources
  • Audio Overviews are a clever way to get people to engage with research
  • Simple enough that you can hand it to anyone on the team
Cons
  • $49 a user a month is a lot for anyone outside research
  • Only academic papers; no business, news or grey literature (reports published outside journals)
  • Extractions still need spot-checking against the source
  • Reports and large screens take a while to run
  • Collaboration is locked to the $169 Scale plan
  • It costs money, and Starter's 300 searches run out fast
  • Top AI models only on the $25 Ultimate plan
  • Local results like maps and shops are weaker than Google's
  • API and MCP use is billed separately from the search plans
  • Will not research the open web unless you explicitly ask it to find sources
  • Answers can be surface-level on dense material; you still need to read the key parts
  • Audio Overviews take a few minutes and sound alike after a while
  • No way to script or automate it; everything happens in the browser

Who each one is for

AttributeElicitKagiNotebookLM
Best for
  • Literature reviews
  • Extracting data from papers
  • Screening papers by criteria
  • Comparing studies in a table
  • Everyday search without ads or tracking
  • Research where you want trustworthy sources
  • Hiding spammy or low-quality sites for good
  • Trying several AI models in one assistant
  • Summarising long reports
  • Questioning a set of PDFs
  • Turning research into a podcast
  • Study guides and briefings
You'll find it used by
  • Researchers
  • Analysts
  • Clinicians
  • Postgraduate students
  • Researchers
  • Developers
  • Writers
  • Privacy-minded professionals
  • Consultants
  • Marketers
  • Students
  • Small business owners

Questions people ask

Which is better, Elicit, Kagi or NotebookLM?

NotebookLM scores highest overall in our ratings (Elicit 3.8/5, Kagi 4.3/5 and NotebookLM 4.5/5). Elicit is best for literature reviews and extracting data from papers. Kagi is best for everyday search without ads or tracking and research where you want trustworthy sources. NotebookLM is best for summarising long reports and questioning a set of PDFs.

Which is cheaper, Elicit, Kagi or NotebookLM?

Elicit: There's a free plan, and paid plans start at $49/user/mo. Kagi: There's no free plan. Paid plans start at $5/mo. NotebookLM: There's a free plan, and paid plans start at $4.99/mo.

Which is easier to use, Elicit, Kagi or NotebookLM?

NotebookLM rates highest for ease of use in our scores. Anyone who needs to understand or explain a set of documents they don't have time to read properly.

How we compare

Ratings are our own, from using each tool, across ease of use, features, output quality, value for money, speed & reliability.

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