Search & Research

Glean vs NotebookLM.

Both sit in Search & Research, scored on the same six pillars from the same published methodology. Here is where they actually differ.

The short answer

Glean scores higher — 86.3 against 83.2, a margin of 3.1 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.

Glean leads on integrations & ecosystem, maturity & reliability and security & compliance; NotebookLM leads on value for money.

Glean

Glean

86.3

Excellent

Enterprise AI search and assistant across all your company's apps.

From
Custom enterprise pricing
Pricing
Enterprise
Maturity
Mature
Founded
2019

83.2

Excellent

Source-grounded research assistant with Audio Overviews.

From
Free / Plus $7.99 / Pro $19.99 (via Google AI plans)
Pricing
Freemium
Maturity
Established
Founded
2023

Pillar by pillar

The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.

Capability

Level

Glean87
NotebookLM85

Value for Money

NotebookLM by 16

Glean74
NotebookLM90

Security & Compliance

Glean by 9

Glean93
NotebookLM84

Integrations & Ecosystem

Glean by 18

Glean92
NotebookLM74

Maturity & Reliability

Glean by 12

Glean88
NotebookLM76

Momentum

Level

Glean84
NotebookLM86

Which one, and when

Pick Glean if

  • it has to fit the stack you already run — it leads Integrations & Ecosystem by 18 points.
  • it has to hold up in production from day one — it leads Maturity & Reliability by 12 points.
  • compliance and data control decide it — it leads Security & Compliance by 9 points.
  • Enterprise knowledge discovery
  • Grounded internal AI assistants
  • Large orgs with scattered tools

The catch

  • Enterprise-only pricing and rollout
  • Value depends on connector coverage
Full Glean profile →

Pick NotebookLM if

  • cost per unit of output is the binding constraint — it leads Value for Money by 16 points.
  • Studying document sets
  • Onboarding onto a knowledge base
  • Turning reports into audio or video

The catch

  • Per-notebook source limits constrain very large corpora
  • No public API yet for workflow integration
Full NotebookLM profile →

What each is good at

Glean

  • Permissions-aware search across 100+ apps
  • Enterprise-grade security and governance
  • Agents grounded in company knowledge

NotebookLM

  • Answers grounded strictly in your uploaded sources with citations
  • Audio and Video Overviews turn any corpus into a podcast or narrated summary
  • Interactive Mode lets you interrupt an Audio Overview to ask questions mid-listen

Other comparisons in Search & Research

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