Hey Product Hunt — I’m Lav, co-founder and CEO of Skayle.
I’ll be honest: We didn’t plan to launch today. We’ve been building Scale as a full-fledged Bootstrap team, working around the clock for months while also running our own development agency. We had a full sprint mapped out — new onboarding, UX improvements, explainer videos, and a collection of free tools we’re working on. None of that was lost when Product Hunt announced the YC partnership tonight. But the product was alive and working. So we made a call: launch now, improve in the open.
The problem we keep seeing:
We run a development agency. We’ve spent years helping companies rank in Google — content strategy, keyword research, publishing, optimization.
About a year ago, something changed that we couldn’t ignore. Our clients’ buyers were getting answers from AI before they even landed on a website: ChatGPT, Gemini, Perplexity, Google AI Review. These are no longer special tools. Google AI reviews have now arrived alone. 2 billion users per monthand Pew Research found that when abstract AI appears, only 8% of users click on a traditional search result..
We will look at two companies in the same industry with the same content quality. One was being cited and constantly recommended in AI engines. The second AI was completely absent from the responses. Same industry. Same standard. Wildly different results. The difference wasn’t just about publishing more content. It was really about being properly structured, positioned, and visible for the AI to reference you.
Why we scaled:
We couldn’t find a tool that explained why this was happening, let alone one that could fix it. So we started working by hand: querying each AI engine, figuring out who was mentioned, studying what the cited sources had in common, and creating content to bridge those gaps.
It worked. But it took an entire team and a lot of hours per client to maintain.
Scale is that manual work flow has turned into a system.
What the scale does:
It tracks how ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mods refer to, mention, suggest, or ignore your brand. It shows you where competitors are beating you and why. This indicates the specific visibility gap where the material will actually move the needle.
It then creates research-backed content, written using your brand voice, your positioning, and your rules, all stored in a persistent contextual library built to rank in Google and sourced by AI engines. When content is created, it’s published directly to your CMS.
This is not a dashboard you check once a week. It’s a loop: find the gap, create content, publish, measure what’s changed, go again. Many tools in this space stop at tracking or writing. Scale combines the two.
Where we are now:
We know there are rough edges. Onboarding is not where we want to be right now. The free tools we have planned are not live. Some UX polish is still in progress. We are starting early and improving every week.
We want to make it with you, not just for you.
Give it a try, and come back here with the clearest feedback you have. What’s broken, what’s confusing, and what will make it indispensable for your team all go directly into what we ship next.
If you want to spin it, use the code. PRODHUNT30 30% off your first month on any plan.
My team and I will be in the comments all day.