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Chris King
Chris King

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OpenOkara

Opensourcing AI CMO, Built on Backboard.io

I built an open source AI CMO that audits your site, maps competitors, and finds your brand voice in 60 seconds

Hiring a CMO is expensive.

Hiring a good one is really expensive.

And if all you need is:

  • a site audit
  • competitor intel
  • brand voice extraction
  • SEO fixes
  • and a way to ask follow-up questions

…you probably don’t need a $200k/year exec and a 3-month ramp.

So I built OpenOkara: an open source AI CMO that turns a URL into a marketing brief in about a minute.

Drop in a website. It spins up multiple AI agents in parallel and gives you:

  • Website audit

    Performance, SEO, accessibility, and best-practice checks

  • Competitor analysis

    Direct and adjacent competitors, positioning, and pricing signals

  • Brand voice profile

    A usable summary of how your company actually sounds

  • SEO fix queue

    Ranked issues with step-by-step remediation guidance

  • AI chat

    Ask follow-up questions without starting over

No prompt engineering. No mystery workflow. Just a URL.

Why I built it

A lot of “AI for marketing” products are just:

  • expensive wrappers
  • vague outputs
  • pretty dashboards hiding weak execution
  • and black-box workflows you can’t inspect or customize

I wanted the opposite:

  • open source
  • fast
  • inspectable
  • hackable
  • and actually useful

So OpenOkara shows its work while it runs.

Instead of a spinner, you see a live terminal stream as agents:

  • summarize the site
  • search for competitors
  • infer brand voice
  • run the audit
  • and assemble the final brief

That visibility matters. It makes the system feel less like magic and more like software.

How it works

The app uses a simple orchestrator pipeline:

  1. Content agent → reads the website and summarizes content
  2. Competitor agent → searches the web for rivals and pricing context
  3. Brand agent → extracts voice, tone, and positioning cues
  4. Audit agent → scores the site and generates prioritized fixes

Backend is FastAPI, frontend is Next.js, and the agents run on Backboard.

Stack

  • Python 3.11+
  • FastAPI
  • Next.js 15
  • Pydantic v2
  • Tailwind CSS
  • Backboard.io
  • SSE streaming for live run output

What I like most about it

The best part is that it’s not trying to be “AI magic.”

It’s trying to be useful.

You type in a URL and get something a founder, marketer, or agency can actually use today:

  • what’s broken
  • who you’re up against
  • how your brand sounds
  • what to fix first

That’s a lot more valuable than a chatbot saying “your website should be more engaging.”

Open source because the category needs pressure

There are already paid tools aiming at this space.

Some are good.

Some are wildly overpriced.

And honestly, this category needs a little open source pressure.

If a product is charging serious money for “paste URL, get marketing insights,” then the output needs to be really good, the workflow needs to be really polished, and the time savings need to be obvious.

Otherwise, OSS is coming for that margin.

Repo

If you want to try it, fork it, or improve it:

GitHub: https://github.com/Backboard-io/openokara

If you build on top of it, I’d love to see what you make.

Final thought

Open source isn’t just catching up on developer tools anymore.

It’s starting to put real pressure on expensive AI SaaS in categories that used to feel safely premium.

This is one of those categories.

And that makes it fun.

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