When Nayrhit Bhattacharya and Adithya Venkatesh started Gushwork in 2023, they were building something entirely different—an AI-powered platform for remote workforces. Then ChatGPT and Perplexity started answering questions that used to send people to Google. The founders pivoted hard.
"We saw it happening in real time," Bhattacharya said in an interview last week, shortly after his company announced a $9 million seed round led by Susquehanna Asia VC and Lightspeed. "B2B companies were asking us: How do we show up when someone asks an AI where to find industrial equipment?"
That question, which would have sounded absurd two years ago, is now keeping marketing executives awake at night. The answer Gushwork is selling—an automated content factory designed to get your company cited by large language models—has attracted more than 300 paying customers and an 800-business waitlist. It's also raised eyebrows among SEO veterans who remember the last time automated content generation promised to revolutionize marketing.
The funding round, which included B Capital, Seaborne Capital, Beenext, Sparrow Capital, and 2.2 Capital, brings the Delaware-based company (which operates out of Bengaluru) to $11 million in total capital raised. Post-money valuation sits around $33 million, according to sources familiar with the deal.
Content at Machine Speed
Here's what Gushwork actually does. Its flagship product, AI Feeds, operates as what the company calls an "AI-native CMS"—a content management system that uses a swarm of specialized agents to automatically generate, publish, and update landing pages on a customer's domain. These pages are optimized not just for Google, but for the AI answer engines that are increasingly intercepting search queries before they reach traditional results pages.
The system lives at a subdomain, typically yourcompany.com/feeds, and deploys agents with names like Memory, Research, Strategy, and Auto-Update to handle everything from topic discovery to backlinking. It generates structured content in formats designed for LLM ingestion, builds links through a network of 200 to 300 partner sites (usually 10 to 20 per customer), and refreshes pages as AI models evolve.
Subscriptions start around $800 monthly. Average contract value hovers near $9,000 to $10,000 annually. The customer base skews heavily industrial: manufacturers, equipment distributors, commercial service providers. About 95 percent are based in the United States.
Gushwork claims it hit $1.5 million in annual recurring revenue within 90 days of launching its beta, growing at 80 percent month-over-month. The company says its customers collectively generate more than 1,000 leads monthly through the platform. More dramatically, Susquehanna's announcement stated that 80 percent of customers see a 500 percent spike in website impressions within 60 days.
Those are vendor-reported figures. No independent verification exists yet.
The New Battlefield
The broader shift Gushwork is betting on is real, even if the metrics around it remain fuzzy. As users increasingly ask ChatGPT, Perplexity, or Google's AI Overviews for direct answers instead of clicking through link lists, the old SEO playbook is buckling. Ranking on page one matters less than being cited in an AI's response—what the industry now calls Answer Engine Optimization or Generative Engine Optimization.
The data points are scattered but suggestive. Semrush reports that AI Overviews appeared in roughly 15 percent of Google searches in November 2025, down from a mid-year peak around 25 percent but still covering more commercial queries than before. BrightEdge says AI engines are sending measurable referral traffic to sites that optimize for citations. Yext analyzed 6.8 million AI citations and found that 86 percent came from brand-managed sources—websites, listings, structured data feeds.
Which suggests companies have levers to pull. And where there are levers, there's money.
Profound, a New York competitor focused on enterprise GEO, raised a $35 million Series B led by Sequoia earlier this year. Evertune pulled in $15 million in August. Azoma, based in London, raised $4 million and counts Mars, Colgate, and Procter & Gamble among its clients. Even established platforms like Wix and Semrush (currently being acquired by Adobe) have launched AI visibility tools.
But most of those competitors focus on diagnostics—tracking where you're being cited, analyzing gaps, recommending changes. Gushwork's pitch is different: automated execution. The system doesn't just tell you what content to create; it generates and publishes that content at scale, builds backlinks to reinforce authority, and tracks leads through an integrated dashboard.
The Automation Question
That's also where skepticism creeps in.
Automated content generation at high velocity has a history, and not all of it is flattering. Google has spent years cracking down on what critics call "AI slop"—thin, derivative pages optimized for algorithms rather than humans. The risk is that Gushwork's multi-agent architecture, for all its sophistication, might produce exactly that kind of content. At volume.
The backlinking strategy through partner sites could also draw scrutiny if link patterns look manipulative. Google's guidelines on link schemes haven't gone anywhere, and AI answer engines are likely to adopt similar quality filters as they mature.
Gushwork insists its approach avoids those traps. "We're not spinning out low-quality pages," Venkatesh, the company's CPO, said. "The agents are trained to produce content that serves user intent, not just keyword density." But there's no independent audit to validate that claim, and the company declined to share samples of customer pages for review.
Still, the early traction suggests demand is real—perhaps more than the founders expected. B2B companies in industrial and service sectors often lack the in-house resources to keep up with content velocity, let alone the expertise to optimize for AI models that change every few months. A turnkey system that promises leads in 60 to 90 days has obvious appeal, especially at price points well below hiring a content team.
"We're not replacing your content strategy," Bhattacharya said. "We're building a new channel on top of it."
What Comes Next
Gushwork plans to deploy the fresh capital toward engineering headcount, agent accuracy improvements, and go-to-market expansion. The company employs around 70 people, primarily in India, and is targeting $3 million to $3.5 million in ARR over the next three months.
The founders initially raised a $2.1 million pre-seed led by Lightspeed in July 2023, back when the product vision centered on AI-augmented remote work. They pivoted toward AI search optimization in late 2024, as answer engines began showing real traction with users and businesses started asking questions they didn't know how to answer.
The broader question hanging over the category is durability. If AI answer engines stabilize as a primary discovery channel—and if they continue driving referral traffic at meaningful scale—platforms like Gushwork could sit at the center of a new marketing stack. If the shift stalls, or if AI engines fail to convert attention into actual business outcomes, the $1.5 million in ARR might represent a ceiling.
For now, Gushwork is moving fast. The company hit general availability on AI Feeds the same week it announced the funding, and it's burning through its waitlist at a pace that suggests either strong product-market fit or effective sales execution. Probably both.
Whether this becomes a durable category or a transitional moment—another chapter in the long, strange history of search engine optimization—depends on variables Gushwork doesn't control. User behavior. AI model evolution. Platform decisions by OpenAI, Google, and Anthropic. Regulatory pressure around AI-generated content.
But Bhattacharya and Venkatesh, both IIT alumni who've watched the Indian tech ecosystem mature over the last decade, aren't waiting for clarity. They're betting that B2B marketing is in the early innings of a fundamental platform shift. And they're building as if the future has already arrived.
Which, depending on whom you ask, it either has or hasn't.
