Building Morphlook: Combining AI Hairstyle Previews with SEO-Driven Distribution

I’ve been building an AI hairstyle preview tool called Morphlook.

The original idea was surprisingly simple:

People spend a lot of time browsing hairstyle inspiration photos online, but still have no idea whether a hairstyle will actually look good on them.

Pinterest, Instagram, TikTok — endless inspiration.
But almost no personalization.

So I started building a browser-based AI tool that lets users:

• upload a selfie

• choose a hairstyle

• preview the result with AI

The interesting part is that I’m not trying to build “another AI photo app”.

I’m trying to build an appearance decision platform.

That means combining:

• AI hairstyle previews

• face-shape recommendations

• hairstyle SEO pages

• before/after comparisons

• shareable result pages

Current stack:

• Next.js

• Supabase

• Replicate

• Vercel

• Creem

One thing I’ve learned:
AI products without distribution are fragile.

So I’ve been thinking a lot about:

• SEO-driven product design

• Pinterest traffic

• long-tail keyword pages

• programmatic content

• shareable AI result pages

For example:
Instead of only having a “generate” page, I’m building pages like:

• /hairstyles/bob

• /face-shapes/oval-face/women

Then connecting those pages directly into the AI try-on flow.

The goal is:
search intent → hairstyle discovery → AI preview → conversion

Still very early stage, but I’m learning a lot about combining:
AI + SEO + consumer psychology + lightweight SaaS execution.

Would love feedback from other indie hackers building AI consumer products.