Anirudh Singla has seen firsthand how quickly technology can challenge an established business model. Three years ago, when people questioned whether Pepper could survive the rise of artificial intelligence and increasingly commoditised content production, the concern was understandable. If machines could create content instantly, the obvious question was whether businesses would still pay for human-led content services.
Today, Anirudh Singla points to a very different outcome. Pepper has crossed $10 million in annual recurring revenue, serves Fortune 500 enterprises, and has built a business that continues to grow as new AI models emerge. The story is less about resisting technological change and more about understanding what customers ultimately value.
Anirudh Singla’s central insight is that enterprises were never simply buying content. They were buying outcomes.
Content is only one part of a much larger business objective. Companies want to be discovered. They want stronger visibility in search results. Increasingly, they also want their brands and information to appear prominently when people use large language models to find answers. Ultimately, these activities are expected to contribute to something that matters to every business: sustainable growth and qualified leads.
That shift in perspective appears to have influenced Pepper’s transformation.
According to Anirudh Singla, Pepper developed a new SEO and GEO business that did not exist just 18 months ago. He says this division is expected to cross $10 million in annual recurring revenue on its own within the following quarter. The change demonstrates an important principle for companies operating in fast-moving markets: a disruption to an existing service can also reveal demand for a more valuable service.
Anirudh Singla’s experience highlights why businesses should avoid defining themselves too narrowly. A company that thinks it sells articles may struggle when AI makes article production faster and cheaper. A company that understands its real purpose as helping customers achieve visibility, traffic, leads, or revenue has more room to adapt.
The distinction is subtle but important.
Technology can replace tasks. It does not necessarily replace the business problem those tasks were helping customers solve.
The numbers shared by Anirudh Singla also illustrate the scale of Pepper’s enterprise business. The company has more than 40 customers above $100,000 in ARR, more than 15 above $150,000, more than 10 above $200,000, and more than three above $400,000. He also states that 70% of Pepper’s growth comes from the United States, including Fortune 500 enterprises.
These figures provide a useful business lesson beyond Pepper itself. Enterprise customers tend to evaluate vendors through the lens of measurable value. As AI changes the cost and speed of producing content, businesses providing content-related services may need to demonstrate how their work connects with broader commercial objectives.
Anirudh Singla also shares ambitious financial expectations for Pepper. He expects the company to exit its financial year in March at a $16 million annualised revenue run rate, alongside approximately ₹120 crore in full-year revenue and ₹20 crore in EBITDA, representing a stated EBITDA margin of about 16.7%.
What makes this particularly relevant is the relationship between growth and profitability.
For many technology businesses, rapid expansion can come with significant spending and delayed profitability. Anirudh Singla describes Pepper’s trajectory as a situation where growth and profitability are compounding together. Whether that trajectory continues will depend on execution, market conditions, customer retention, competition, and the company’s ability to keep creating value as AI evolves.
That uncertainty is part of the broader lesson.
Anirudh Singla’s story does not suggest that disruption should simply be ignored or celebrated. It suggests that disruption needs to be understood. When a technology changes how a service is produced, companies need to examine what customers actually care about and determine whether their existing offering still addresses that need.
For Pepper, content production became only one layer of the opportunity. Search visibility, generative-engine optimisation, business discovery, and lead generation created a broader proposition.
Anirudh Singla’s journey therefore reflects a practical approach to innovation: do not become attached to the original form of the business when the underlying customer problem is changing.
The most important response to AI may not be competing with machines at the tasks they perform best. It may be building systems, services, and strategies that use those capabilities to solve larger problems.
Anirudh Singla describes Pepper’s transformation as happening “brick by brick.” That phrase captures an important reality about business adaptation. Major changes rarely happen through one dramatic decision. They are usually the result of repeated adjustments new services, new customer needs, new technologies, new markets, and new ways of measuring value.
Anirudh Singla’s experience offers a useful reminder for founders and business leaders: disruption does not automatically determine the fate of a company. The response to disruption matters.
AI may change content creation dramatically, but businesses will continue to need attention, trust, visibility, customers, and measurable results. Companies that understand those deeper needs can look beyond the technology itself and ask a more valuable question: What outcome are customers actually paying for?
That question may be more important than the technology used to answer it.
