How PreAlgo predicts views before you post

Most "AI content tools" tell you to optimize your hook. They don't tell you what your video will actually do. PreAlgo does.

Here's how the prediction works, in four plain-English steps.

Step 1: Gemini watches the video

When you upload, the file streams to Google's Gemini model. It watches the full video and rates the components on a 1-5 scale: hook strength, value clarity, x-factor (the share-trigger), format quality, execution. These ratings become your quality composite, a single number out of 100.

Step 2: We pull real comparable videos

We search a database of 10,000+ real posted videos with actual view counts. The search uses embedding similarity, which means it finds videos that are about the same thing as yours, not just videos with similar tags. Three different lenses:

This gives the validator a complete picture: floor, ceiling, and what's working now.

Step 3: Anchor on creator history if available

If your prealgo account is linked to The Content Labs (or matches by email), the algorithm also pulls your own posting history. Your median post, your top 10%, your historical max. A creator whose past videos hit 1.7M shouldn't get predicted at the niche median of 30K.

This is the difference between "what happens if a typical creator posts this" and "what happens if you post this".

Step 4: Compute three predictions per platform

Output isn't a single number. It's a 3×3 grid:

The typical column anchors on niche median. The your account column anchors on your historical distribution. The best case column anchors on the topic's ceiling. You see all three so you can size the upside without losing the realistic baseline.

What it doesn't do

PreAlgo won't predict 9M views on a video that nobody could have predicted. View distributions are heavy-tailed; the very long upper tail is genuinely hard to forecast in advance. What we will reliably tell you is whether the video's quality and creator-fit are good enough that it could break out, given the topical and platform context.

Why this beats keyword-driven tools

Most "creator AI" tools optimize for SEO inside a video (titles, captions, hashtags). That's table stakes. The harder question is does the video's structure work — hook strength, retention curve, x-factor presence. PreAlgo grades those before you publish, so you can fix them before the algorithm sees them.