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Samant C.
Samant C.

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How I Built My YouTube Title Generator (from Idea to AI Tool)

For years, I’ve worked behind the scenes with creators — designing thumbnails, optimizing titles, and studying what actually makes a video click-worthy. After more than 3,000 thumbnails and hundreds of YouTube channels, I noticed something creators struggle with daily:

“What is the perfect title?”

Titles take time. They need:

A strong emotional hook

SEO structure

Keyword diversity

Curiosity

And to be short enough to avoid truncation

Most creators guess. Some copy competitors. Very few use data.

That’s when I decided to build a tool that would help creators generate high-CTR titles instantly, using everything I learned from real client results, plus actual AI language models.

This became the PackaPop YouTube Title Generator — my first fully automated creator tool.

Step 1 — Studying What Makes a Title Perform

Before writing a single line of logic, I collected patterns from:

My own client titles

10,000+ viral videos

Creator interviews

YouTube’s own “Top CTR Principles”

The strongest titles had similar traits:

Emotion (shock, curiosity, conflict, desire)

Contrast (“before vs after”, “mistake vs fix”)

Numbers & specifics

A problem + a promise

The “information gap” effect

I turned these observations into a Title Formula Map — basically a cheat sheet of title structures used by the biggest channels.

This is what the generator would later automate.

Step 2 — Designing a System That Thinks Like a YouTube Strategist

I wanted the generator to produce titles that feel:

Original

Emotionally strong

SEO-aware

Not robotic

So I created a multi-step process that happens behind the scenes:

✔ 1. Keyword Extraction

The tool identifies the strongest words from the user’s video topic.

✔ 2. Emotion & Curiosity Mapping

Each keyword is classified into “emotional categories”:

Fear

Surprise

Desire

Authority

Urgency

These categories guide the tone of the title.

✔ 3. Title Formula Matching

The system chooses from more than 50 proven title structures:

“The Truth About X”

“I Tried X So You Don’t Have To”

“X Mistakes Everyone Makes”

“The Secret Behind X”

“Before & After X”

✔ 4. AI Polishing Layer

Finally, an LLM (OpenAI) rewrites the title to make it natural, punchy, and clickable.
Step 3 — Building the Tool Itself

The tool lives on my website as a simple, fast interface.
The stack:

Next.js for quick UI

TailwindCSS for styling

OpenAI API for natural language refinement

Custom scoring logic to select the best title

Caching system so users get fast results

The biggest challenge was making the tool produce varied, non-repetitive titles. AI models love to fall back into the same patterns, so I created randomization layers and penalty rules to avoid monotony.

Now it generates:

Emotion-based titles

SEO-friendly titles

Clickbait alternatives

Short versions for Shorts

All in seconds.

Step 4 — Adding a Scoring System

Creators love feedback.
So I added a title score system that evaluates:

Emotional strength

Keyword placement

Curiosity factor

Readability

Length optimization

CTR probability patterns

It doesn’t claim to be perfect — but it’s extremely helpful for beginners who want guidance.

Launching It for Creators

When I published the tool, I didn’t expect much.

Then YouTubers started messaging me:

“This saves me so much time.”

“Your emotional hooks are better than mine.”

“Now I generate 20 titles in 1 minute.”

That’s when I realized this wasn’t just a small side project.
It became a core part of PackaPop — my ecosystem of tools for creators.

If you want to try it:
YouTube Title Generator

What I Learned While Building It

  1. Creators don’t need more tools — they need clarity

People wasting 30 minutes on a title don’t want complexity. They want guidance.

  1. Emotion is more important than keywords

The best titles spark feeling, not SEO.

  1. Small tools can solve big problems

This started as a simple script. Now thousands use it weekly.

  1. AI is powerful, but human strategy matters more

The quality comes from the formulas — not from the AI itself.What’s Next?

I’m already working on:

Multi-language titles (Spanish, French, Arabic)

Personalized title recommendations based on your niche

A creator dashboard

A full Title A/B testing system

A “thumbnail hook generator” inside the same tool

My long-term goal:
Build the simplest, smartest set of tools for YouTubers who want to grow without burnout.

If You’re a Creator…

I’d love feedback.
What title formats work best in your niche?
What should I add to the next version?

Let me know in the comments.

Thanks for reading!

If you want to explore the tool I mentioned, here it is again:
AI-powered YouTube title tool

Feel free to use it, test it, and tell me what to improve.

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