In the evolving landscape of online marketing and search engine optimization, many software-as-a-service companies are finding that traditional metrics no longer tell the whole story. On a recent episode of the Niche Pursuits podcast, founder Craig Hewitt sat down to discuss how his podcast hosting and analytics platform, Castos, is adapting to a digital environment reshaped by artificial intelligence and shifting search traffic patterns. Rather than panicking over a decline in raw website visitors, Hewitt and his team have restructured their approach, discovering that targeted comparison pages, free browser-based tools, and deep AI integration are driving more meaningful business results than ever before.
Castos serves thousands of customers and has generated well over $1 million in revenue since its inception eight or nine years ago. Over its operational history, the company has navigated various phases of growth, at one point employing as many as 15 people before streamlining its operations down to a lean team of six. This ability to adapt quickly has been a hallmark of the company’s trajectory from the very beginning, starting with how Hewitt secured early market distribution before building the core software platform.
Acquiring Distribution Before Building the SaaS
Unlike many software startups that build a product from scratch and then struggle to find an audience, Castos originated from a podcast editing and production service. This hands-on work gave Hewitt direct exposure to podcasters and a clear understanding of the everyday challenges they faced. A pivotal moment arrived when one of his customers introduced him to the owner of "Seriously Simple Podcasting," a free WordPress plugin designed for podcasters. Hewitt recognized the opportunity immediately. Instead of viewing it merely as software, he saw an existing, active channel into the exact market he wanted to serve.
The acquisition moved quickly, providing the young enterprise with a foundational distribution network that many software companies spend years trying to build. Once the plugin was secured, Hewitt’s team developed a paid SaaS product that integrated directly with the WordPress tool, offering podcasters advanced hosting, detailed analytics, and features unavailable in the free version. Although the launch encountered minor hurdles—such as an initial update that temporarily disrupted WordPress sites for some users—the technical issues were resolved swiftly. Hewitt notes that distribution remains one of the hardest obstacles in modern software development, suggesting that founders should carefully consider where their prospective customers already congregate and explore partnerships or acquisitions rather than starting from zero.
Shifting Content Toward Buyer Intent
For years, content marketing served as a primary engine for Castos, driving thousands of free trials every month through high-volume SEO articles addressing broad podcasting topics. However, as search behavior shifted, AI-powered tools began answering general queries directly within search engine results pages, reducing the necessity for users to click through to individual websites. Consequently, Castos experienced a roughly fifty percent reduction in overall website traffic.
Yet, this drop in traffic coincided with an increase in software trials, revealing a fascinating disconnect between raw visibility and actual conversion. This realization prompted a fundamental philosophy shift within the company. Castos moved away from chasing broad audiences loosely interested in the concept of podcasting and turned its attention toward prospective customers who are actively evaluating purchasing decisions. While older content focused on general terms, the modern content strategy concentrates on specific scenarios and high-intent queries where the product provides an immediate, practical solution.
Creating Comparison Pages and Free Tools
To capture high-intent traffic, Castos expanded its focus on comparison and alternative content. While a user searching for general audio advice might be months away from selecting a hosting provider, someone searching for a direct comparison between two podcast hosts is clearly on the verge of making a decision. By building detailed, highly specific comparison pages tailored to narrow situations, Castos ensures that its platform appears precisely when users are evaluating their options.
In addition to comparison content, the company has leaned heavily into free, browser-based utilities. Rather than merely writing about how to complete a specific task, Hewitt’s team builds lightweight tools that execute the task directly. For instance, a creator needing to convert a video file into a standalone audio track can use a browser utility provided by Castos without needing to purchase software first. By examining the everyday jobs podcasters need to accomplish, the team designs these tools to serve as direct acquisition assets.
The economics of producing these assets have transformed dramatically through the use of artificial intelligence. Hewitt explains that his team utilizes AI models like Claude to brainstorm tool concepts, outline required functionality, and generate much of the finished code and page structure. Because many of these utilities run entirely within the user’s browser, they require minimal server resources, allowing a lean team to deploy and maintain them efficiently. Furthermore, these tools are periodically highlighted through the company’s regular email newsletters, ensuring they reach established audiences independently of search engine discovery.
Measuring Signups Instead of Chasing Traffic
Because customer attribution is rarely linear—often involving multiple touchpoints, ad blockers, or discovery periods spanning months—Castos evaluates its performance by monitoring overarching business trends alongside page-level data. The core takeaway from the company’s transition is that traffic should be viewed as a business indicator rather than a vanity metric. A downward trend in overall website visitors does not automatically signal a decline in business health if the visitors arriving possess clear, high-intent purchasing motives. For online business operators accustomed to measuring success purely by audience size, adopting this perspective requires a meaningful mental adjustment.
Beyond marketing, artificial intelligence is deeply embedded in the daily operations of Castos. Employees are encouraged to experiment with various software tools to enhance productivity across development, customer support, and internal operations. Hewitt has even developed an open-source project called SEO Machine, designed to research opportunities, draft updates, and deploy changes. The company subsequently transitioned its website infrastructure to an Astro-based setup using flat Markdown files, making it significantly easier for automated systems to manage and update content while maintaining human oversight where necessary.
Hewitt emphasizes that the quality of AI output is directly tied to the quality of the context provided. Rather than relying on generic prompts, Castos connects its AI systems to robust internal resources, including company analytics, detailed writing guidelines, and specific research data, effectively turning AI into an integrated operating system for targeted tasks.
As Castos looks toward the future, the company’s focus remains centered on expanding its value proposition for creators. By moving beyond simple audio hosting and exploring adjacent parts of the podcast workflow, Hewitt aims to deliver even greater utility to podcasters. Through a combination of strategic high-intent content, AI-driven operational efficiency, and a focus on genuine business outcomes over raw traffic metrics, Castos continues to refine its approach to sustainable growth in a rapidly changing digital marketplace.
