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How much does Google NotebookLM earn?

iOS app from Google · Productivity

ML forecast ★ 4.9 · 39K +7747.0% MoM Paid

~20.3K/mo

ML revenue forecast. Calibrated against 2218 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

Google NotebookLM's revenue trajectory

Forecast revenue from snapshot history. Last 8 months.

Where Google NotebookLM sits in Productivity

Revenue distribution of 2218 comparable apps. Google NotebookLM highlighted.

Google NotebookLM vs comparable apps

Revenue trajectory side-by-side. Bold = Google NotebookLM, ghosted = peers.

App spec

Version
1.38.7
Last update
May 08, 2026
Launched
May 19, 2025
Min OS
17.0
Rating
12+
Price
Free
Monetization
Paid
Languages
AF, SQ, AM, AR +60

What Google NotebookLM actually does (from App Store listing)

Turn complexity into clarity with NotebookLM, your brain’s new best friend. Join the millions of students, creators, researchers, professionals, CEOs, and more who are saving time, getting stuff done, and learning in new ways. “NotebookLM Blew Our Mind” – Hard Fork “One of the most compelling and completely flabbergasting demonstrations of AI’s potential yet.” – The Wall Street Journal Now, with the NotebookLM app, you can create and access notebooks, ask questions whenever you think of them, …
Read full description →

🆕 What's new · v1.38.7

Bug fixes and performance improvements Download You can remove the already downloaded audio overviews

Comparable iOS apps

The five apps in Productivity with the closest revenue to Google NotebookLM. Click any to see its detail page.

AppRevenueRatingRatings
KI-Chatbot-Assistent: AskEasy icon KI-Chatbot-Assistent: AskEasy 20.2K ★ 4.7 32K
Shared Family Calendar: FamCal icon Shared Family Calendar: FamCal 20.1K ★ 4.9 27K
Windscribe VPN icon Windscribe VPN 20.4K ★ 4.6 33K
Carly OBD2 Scanner icon Carly OBD2 Scanner 20.6K ★ 4.7 10K
NIIMBOT icon NIIMBOT 20.7K ★ 4.7 32K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Google NotebookLM's tracker page for current rating, reviews and snapshot timeline.

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