SEO Content SaaS Contentpace Sells to an AI Content Company at 2.5x Revenue

What Happened

Contentpace was a SaaS that helped writers and editors build and optimize outlines for SEO articles. It analyzed top-ranking competitor articles and suggested heading structures, topics to cover, and target word counts — a tool that cut down the time writers and editors spent “thinking about structure.” In June 2023, it was sold to AI content generation company Content at Scale for 2.5x revenue, in a six-figure-dollar deal worth tens of millions of yen.

The team behind it was a group of co-founders led by Muntasir Rashid, who is from Bangladesh. Fully bootstrapped with no outside funding, they grew the business to $1.5M in cumulative revenue (approx. ¥230M at ¥150/$1) with 4,000 paying teams and 12,000 free users before selling.

From Dhaka to Paris — A Timeline

Revenue growth was fast too: $146,000 in the first 188 days after launch, and $255,000 with 2,100 paying teams by the end of year one. All of this without an advertising budget, on a pure bootstrap.

Discarding the Assumption That “You Only Launch Once”

Rashid points to repeated launches as the source of that early momentum. “There’s a widespread misconception that you can only launch once,” he says, in reality, the team relaunched more than 50 times on platforms like Product Hunt. Alongside that, they made a habit of “documenting and reporting on everything, wins and failures alike”, turning the public sharing of progress itself into an acquisition channel. Product Hunt still carries retrospective posts like “$0 to $146K in 188 days” and “$0 to $225K in year one” (note: the body text of the They Got Acquired article states first-year revenue as $255,000, a roughly $20,000 discrepancy from the $225K figure), and this transparency created a loop where each new launch brought its own audience.

There was discipline on the product side too. Rashid says “it’s very easy to fall into an endless loop of building ad hoc features,” and the team made a point of identifying the problem behind a request rather than the literal wording of it. The emblematic example: when users asked “please analyze competitor article headings,” the team didn’t build a literal heading-analysis feature. They judged that what users actually needed was “to structure my own article based on what’s already ranking,” and built a content brief builder instead. That feature became the core of Contentpace.

How to Read the 2.5x Multiple

With SaaS exits typically pricing at 3–5x annual revenue, 2.5x is distinctly low. That modest multiple reflects the moment: generative AI was in the process of swallowing this entire category. Contentpace’s core function, analyzing and proposing article structures, is precisely what LLMs do best, and there was a real question mark over whether a standalone tool could sustain its revenue a few years out. The sellers themselves cited the tectonic shift AI was causing in content marketing as their reason for selling.

This is exactly the same call that Contentellect made when it sold its SEO agency “before AI breaks the industry”, just made from the tool side instead. The buyer, Content at Scale, is a scaled AI article-generation company, and Rashid described it as sharing “the same vision, with a greater ability to scale.” Contentpace’s outlining and optimization features become components in its pipeline. For the seller, it was a way to cash out a depreciating asset. For the buyer, a way to shortcut development time. When a wave of technological disruption arrives, don’t fight the wave, sell your asset to whoever is riding it. It’s a pattern common to SEO tool exits around 2023.

The speed of the deal, roughly 30 days from listing on Acquire.com to close, is telling too. Thirty days is fast for a marketplace-style sale, suggesting a price set to actually sell, and a founder who let go without hesitation.

What Didn’t Work — the Shadow Behind the Numbers

Even a path that looks smooth shows signs of deceleration if you look closely. A business that made $255,000 in year one but only $1.5M cumulatively over roughly three years implies annual revenue of around $600,000 from year two onward, the early growth rate clearly didn’t continue at the same pace. The SEO tools market was crowded with competitors like Surfer and Frase, and after ChatGPT arrived, a free substitute emerged: “just ask an LLM for an outline.” The relaunch-50-times-to-keep-acquisition-going approach also implies, read the other way, that no single launch was enough to sustain growth on its own.

And the below-market 2.5x multiple can also be read as a sign of weak negotiating leverage. When the buyer knows the reason you’re selling in a hurry (the AI threat), you don’t get top dollar.

Having let go at 2.5x, the two founders moved over to building AI

Even so, calling a low-multiple sale a “failure” is premature. Compare it to the hold-on scenario (revenue eroding year after year as LLMs improve, until two years later no buyer can be found at all) and cashing out at 2.5x looks entirely rational. Indie developers, attached to their products, tend to miss the right moment to sell. But a valuation multiple is the market’s grade on your business’s future, and a low multiple is itself a signal that now is the time to sell.

In fact, after the sale, Rashid and his co-founders launched an AI product studio called “Wit Works,” building AI products like “Promptmatic” and “Liveware AI.” “AI is the new electricity. It’s not here to replace us (it’s here to help us do what we’re already doing, better.”) a move from being swallowed by the wave to becoming one of the people making it. The sale functioned not as a retreat but as a reallocation of capital and time.

Related Reading

• Contentellect — the agency version of “sell before AI breaks it”
• AvatarAI — the light and shadow of riding the AI boom