Retti vs Gemini: both watch the video, only one is diagnosing it
Gemini is the general model closest to this space — it can process video and summarise YouTube links. Retti watches video too, and listens to it. The difference is what each is watching for: Gemini is building an account of what happens, Retti is looking for the moments that cost you viewers.
Updated September 2026 · By the Retti team
The one-paragraph answer
Gemini (Google's assistant) is the most multimodal of the big general models: long context, video understanding, and — living inside the Google ecosystem — the ability to summarise and answer questions about YouTube links. Retti is a retention platform, the most advanced in the world. It watches your cut and listens to it — the cuts, the graphics and captions, the b-roll, the music changes and the silences — and reads what it finds against a large corpus of real creator retention curves. Gemini tells you what a video contains. Retti tells you why viewers leave it, and how to fix yours.
What each is for
| Job | Gemini | Retti |
|---|---|---|
| Summarising a YouTube video's content | Yes — genuinely useful | Not the goal — it diagnoses instead |
| General assistant work (ideas, email, research) | Yes — strong generalist | No — retention only, on purpose |
| Beat-by-beat retention diagnosis of a video | No — no retention grounding | Yes — core feature |
| Reading your actual retention graph | Partial — generic image description | Yes — reads the shape, ties dips to causes |
| Frame-accurate pre-upload edit review | No | Yes — Edit Review |
| Hearing the cut — music changes, silences, level shifts | Partial — describes audio it is asked about | Yes — measured, then tied to the curve |
| Scripts grounded in measured retention curves | No | Yes — beats planned against niche drop patterns |
| Your channel's real curves, synced and attributed | No | Yes — retention dashboard |
Where Gemini is strong
Gemini's multimodality is real: it can take a long video and give you an honest account of what happens in it, pull quotes, answer content questions, and its long context makes it good for research across many sources. Inside Google's ecosystem it is also conveniently placed. As a general assistant for a creator — especially for research and summarisation — it is a strong pick.
Where Retti is strong
Diagnosis is Retti's whole reason to exist, and it is the job Retti does better than anything in the world:
- Behaviour, not content. Video Review reads a video the way an audience does — hook delivery, pacing, stakes, payoff timing — and maps each structural choice to the drop patterns measured across a large, continually refreshed corpus of real creator curves.
- Your real data. Connect your channel and the retention dashboard syncs your actual per-video curves from YouTube, attributing drops to chapters and traffic sources. Upload a graph screenshot and Retti reads the shape directly.
- Before publish, not just after. Edit Review reviews the cut frame-accurately before it goes live — the point where fixes are still cheap.
- It hears the edit, not just the words. The cuts, the silences and the level changes are measured from the file rather than estimated from a transcript, so a stretch that is quiet and tense reads differently from a stretch that is quiet and dead. Transcript-only analysis cannot tell those apart, because on paper they are the same nothing.
- Writing with the curve in the loop. Script Writer plans story beats against your niche's measured drop patterns before drafting a word.
Pricing
Retti: free tier (one full analysis plus free tools), then Pro at $49/month — or $30/month billed annually — details on the pricing page. Gemini has free and paid tiers; see Google's site for current rates.
Get the diagnosis, not the summary
Paste a link and see why viewers leave — beat by beat, against real retention data. One analysis is free.
Analyse a video freeThe honest recommendation
If you want to digest content fast — summarise a competitor's hour-long video, research a topic across sources — Gemini is the best-placed general model and Retti does not compete there. But summarisation and retention diagnosis only look similar from a distance. Knowing what a video says will not tell you why half its audience left in the first minute; that answer lives in measured viewer behaviour, and Retti is the strongest tool ever built on top of it. Summarise with Gemini; diagnose, plan, and fix with Retti.
Frequently asked questions
Gemini can watch YouTube videos — doesn’t that cover retention analysis?
No. Watching gives a model the video’s content; retention analysis needs viewer behaviour — where real audiences drop and why. Gemini has no retention-curve grounding, so it can summarise superbly and still have nothing rigorous to say about drop-off. Retti is grounded in a large corpus of real creator curves and diagnoses structure against it.
Is Gemini useful for YouTube creators at all?
Very — as a generalist. Fast video summarisation, topic research with long context, and Google-ecosystem convenience make it a solid daily assistant. It simply is not a retention tool, the same way a research assistant is not an editor.
Can Retti summarise videos like Gemini?
Retti reads videos to diagnose them, not summarise them — its output is a timestamped structural read: where attention held, where it broke, and why. If you want a plain content summary, a general model is the right tool.
Which reads my retention graph better?
Retti, by design. A general model describes the image; Retti interprets the curve — opening cliff, mid-video dips, ending behaviour — and ties each pattern to its usual structural cause, because it has seen the same shapes across a large body of real curves.
Can I use both?
Yes, and the split is clean: Gemini for research and summarisation, Retti for everything retention — planning, scripting, pre-upload review, and post-publish diagnosis. There is no meaningful overlap to pay for twice.