We Rebuilt Wovly Around What Users Actually Wanted

We launched Wovly with a dozen features. Research, experiments, hypothesis tracking, lead finding, idea roasting, blurb generation, document creation, SEO keywords, news feeds, and more. It did a lot. Maybe too much.

Over the past two months we talked to every active user. We read every support message. We watched session recordings. The feedback was consistent and clear. Users did not want more features. They wanted fewer features that worked together.

Three things came up in nearly every conversation. Users wanted to know what their competitors were doing. They wanted to track whether AI search engines mentioned them. And they wanted to publish original blogs that would improve their rankings in both Google and AI engines.

Everything else was noise. So we cut it.

What Users Told Us

One founder told us he opened Wovly every morning to check his competitor radar. He had set up alerts for four competitors and wanted to know when they changed pricing, launched features, or published content. He did not use the idea roaster. He did not use the blurb generator. He used the dashboard and nothing else for three straight weeks.

Another founder, a solo marketing lead at a Series A startup, said her biggest problem was content. She could write blog posts with ChatGPT in minutes. But they read like everything else on the internet. They ranked on page 3 and stayed there. She needed content grounded in real data that said something original. She had tried our deep blog feature once, published the result, and watched it reach page 1 in two weeks. Then she asked why the rest of the product existed.

A third user put it plainly. He said: “I love the dashboard and the blogs. I ignore everything else. Just make those two things better.”

The Pattern We Saw

When we mapped feature usage across all active users, the data matched the conversations. Three features accounted for over 80% of all activity.

The Market Intelligence Dashboard was the most-used feature by a wide margin. Users checked it daily. They set up monitoring alerts and responded when competitors moved. The dashboard became their morning briefing.

AI Visibility was the second most used. Founders wanted to know what ChatGPT, Claude, and Gemini said about their company. They tracked their score over time. When it went down, they asked what to publish to fix it. When it went up, they wanted to know why.

Blog generation was third. But not the basic SEO keyword blog. Users gravitated toward deep blogs, the multi-step research pipeline that crawls real sources, collects data, and writes original analysis. These posts ranked. They got shared. They showed up in AI search results.

What We Cut

We removed the experiment tracking system. Users liked the idea of structured experiments with success criteria and evidence collection. But in practice, fewer than 10% of users created a second experiment after their first. The overhead of defining hypotheses and tracking signals did not match how early-stage founders actually work.

We removed the idea roaster. It was fun. Users enjoyed the brutal honesty. But it was a one-time tool. People used it once, got their score, and never came back to it. It did not create ongoing value.

We removed the lead finder, the blurb generator, and the standalone news feed. Each had a small group of fans. But none of them connected to the core loop that users were building on their own: monitor the market, produce original content, use that content in outreach.

Cutting features is harder than building them. Every removed feature has users who liked it. But keeping everything meant none of it worked well together. The product was wide and shallow. We needed it to be narrow and deep.

What We Built Instead

The new Wovly is built around a single flow. You enter your website URL. Wovly crawls it, researches your market, and builds a six-panel intelligence dashboard. Competitor Radar, Find Customers, AI Visibility, ICP Profile, Pricing Intel, and Your Positioning.

Each panel updates daily. An AI judge filters out noise so you only get alerted on real changes. A competitor raises prices. A new player enters your space. Your AI visibility score drops. You hear about it the same day.

That intelligence feeds directly into content. When your dashboard shows a competitor move, a pricing gap, or an underserved segment, you have a blog post that only you can write. Deep Blogs pull from your dashboard context. SEO Blogs target keywords with your market position baked in. The content is original because the inputs are original.

And that content becomes ammunition for outreach. A LinkedIn message with an original research blog attached is a fundamentally different conversation than a cold pitch. The prospect reads it because it is relevant to their market. They respond because you clearly understand their space.

Why AI Visibility Changes Everything

One insight from our users surprised us. Several founders told us they were getting leads from AI search engines before they got leads from Google. Prospects were asking ChatGPT or Perplexity for recommendations in their category. If Wovly's AI Visibility tool showed that the AI engines knew about them, those leads came in. If it did not, they were invisible.

This changed how we think about content. Traditional SEO optimizes for Google's algorithm. AI visibility optimizes for being cited as a source of truth by language models. The content that achieves this is not keyword-stuffed articles. It is original research with real data that no other source provides.

That is why generic AI-generated content, what people call AI slop, does not work for this. AI engines skip it. They cite the original research. If your blog is a rewrite of ten other blogs, you are invisible. If your blog contains data that exists nowhere else, you become the source.

Our deep blog pipeline was built for exactly this. It crawls real sources, collects data, finds insights that contradict conventional wisdom, and writes a piece grounded in evidence. Two companies in the same space get different blogs because their market context is different.

The Triple Threat

We started calling the new product loop the triple threat. Market intelligence, original content, and armed outreach. When these three share the same context, each one makes the others stronger.

Your dashboard catches a trend. You publish a blog about it grounded in real data. You send that blog to prospects who care about that exact topic. The blog gets cited by AI engines. Your visibility score goes up. The dashboard tracks the change. You spot the next angle.

This is the flywheel. Each cycle compounds. Your intelligence gets sharper because you are monitoring more signals. Your content gets more relevant because it reflects what is happening now. Your outreach gets warmer because you are leading with value.

One user described it as the difference between having a marketing team and being a solo founder with a spreadsheet. The dashboard is your analyst. The blog engine is your content strategist. The outreach docs are your copywriter. They all share one brain.

What This Means for Our Users

If you used Wovly before, the experience is simpler. You log in and see your dashboard. Six panels, all updated. You check your alerts. You decide if any of them are worth a blog post or an outreach sequence. You publish and send. That is the whole workflow.

If you are new, the onboarding is faster. Enter your URL. Get your dashboard in minutes. Set up alerts on the panels you care about. Write your first blog from real market data. The value is immediate because the product does fewer things better.

We are not done. The features that remain are getting deeper every week. Dashboard panels are getting smarter. Blog generation is getting more rigorous. AI visibility tracking is expanding. But the surface area is staying small. We would rather be the best at three things than mediocre at twelve.

Try It

The new Wovly is live. If you had an account before, your dashboard is waiting. If you are new, start your free trial and see your market intelligence dashboard in minutes.

We built this version by listening to the people who use the product every day. They told us what mattered. We cut everything else. That is the whole story.