Agencies advise. We ship.
Alt F Awesome exists to close the gap between AI hype and working software. Most weeks that means client builds: websites, automations, dashboards, prototypes live in days instead of quarters.
But there is a second lane we care about just as much: products we build for ourselves. Not slide decks about what AI could do. Tools we actually use, sell, and improve in public.
Bad Popcorn is the latest example. A Dutch GEO and AEO platform that tracks whether brands show up in ChatGPT, Perplexity, Gemini and Claude, and what to fix when they do not.
Discovery changed. We noticed before our clients did.
For more than a decade, Google defined how people found things online. That is still true in part. What changed is where the journey starts.
Search is fragmenting. People ask ChatGPT for product shortlists. They trust Reddit threads and YouTube reviews. They compare on marketplaces before they ever hit a brand website. AI answers the question before the click happens.
The best answer still wins, but "best" is now decided across more surfaces than Search Console can see. Rankings can look fine while your brand never makes the AI shortlist. That is not an SEO failure. It is a measurement gap.
Humans are still searching for answers. They are just using AI to find them faster.
Why we built a product instead of another service deck
We could have packaged this as a consulting line item. Discovery workshop. AI visibility audit. Quarterly retainer. Clients would have bought it.
We chose to build instead. Three reasons:
- The problem is continuous. AI citation behavior changes weekly. A one-off audit goes stale before the invoice is paid.
- Measurement needs software. Tracking share of voice, positioning quality, and prompt journeys by hand does not scale for us or for the brands we work with.
- We wanted proof, not claims. Bad Popcorn is live at badpopcorn.ai. You can run a free GEO/AEO test on your URL in minutes. That is the kind of credibility we expect from ourselves before we recommend anything to a client.
What Bad Popcorn actually does
In plain terms: Bad Popcorn shows how AI systems talk about your brand when real customers ask real questions.
- Visibility score and share of voice across major LLMs
- Prompt analysis: the questions that drive recommendations in your category
- Content and technical optimizations structured for machine comprehension
- Live monitoring so you see movement, not a static PDF from last quarter
We built it for digital retailers and brands who felt the shift in their traffic but could not see the cause. Fewer clicks, more branded searches, competitors showing up in AI answers they were absent from. Sound familiar? That is the pattern Bad Popcorn was designed to make visible.
What this means if you work with Alt F Awesome
Bad Popcorn is not a pivot away from client work. It is evidence of how we think.
When we say AI-first, we mean we use the same stack, speed and product mindset on your project that we used to ship our own platform. We prototype before we present. We measure before we claim. And when we see a problem repeat across clients, we are more likely to build a tool than write a fifty-page strategy.
That is the difference between an agency that talks about innovation and one that ships it for clients and for itself.
Try it yourself
If discovery for your brand already happens inside AI answers, you should know where you stand.
Visit badpopcorn.ai and run a free visibility test. Or get in touch if you want Alt F Awesome to build something similar: a product, a platform, or an automation that turns insight into something your team can actually use.
