AI Search
The Brooklyn-based company aims to replace traditional marketing agencies with a network of autonomous AI agents capable of managing digital growth channels end-to-end. These agents execute and optimise search engine optimisation (SEO), paid advertising, website management and emerging AI search channels, delivering what the company describes as predictable customer acquisition without the overhead and variability associated with agency services.
The funding round was led by Goodwater Capital, with additional participation from Andreessen Horowitz, Atreides Management, SignalFire and Kearny Jackson. The round also attracted a group of high-profile angel investors including WNBA stars Diana Taurasi, Breanna Stewart, Kelsey Plum and Nneka Ogwumike.
Mega’s platform is designed to address what its founders see as a structural problem facing small businesses in the digital economy: the expectation that they compete across complex marketing channels typically optimised for large enterprises.
Most small businesses must manage search marketing, paid advertising, websites and emerging AI-driven discovery platforms simultaneously, yet often lack the budget, time or expertise to do so effectively. Traditional agencies can be expensive and inconsistent, while existing AI tools frequently require significant technical knowledge and manual input.
Mega’s solution delivers marketing execution through software rather than dashboards or toolkits. Once a business signs up, the platform autonomously plans campaigns, executes tasks and continuously optimises performance.
From the customer’s perspective, the system functions like an outsourced growth team that operates automatically.
“We realised early that business owners do not want another AI chat tool that requires hours of prompting,” said Lucas Pellan, co-founder of Mega. “They want customers. So we built a system that actually does the work.”
Mega’s technology relies on a network of specialised AI agents that coordinate marketing activities across multiple digital channels.
The platform currently focuses on four primary areas: SEO, paid advertising, website optimisation and what the company calls GEO (Generative Engine Optimisation), which refers to optimising visibility within AI-driven search and discovery systems.
The system plans campaigns, launches them, tests variations and adjusts strategies based on performance data collected across its entire user base.
According to the company, around 55 per cent of the work performed by the system is fully automated, while 35 per cent is largely automated with human oversight. The remaining 10 per cent is completed manually by specialist operators to ensure quality control and strategic guidance.
This hybrid structure allows the company to scale marketing execution while maintaining reliability and performance standards.
Every campaign executed through the system feeds data back into Mega’s platform, improving the algorithms that generate creative assets, refine targeting, manage bids and optimise conversions.
Mega’s creation emerged from an unexpected origin story.
The founding team was originally building a video game company during the Covid pandemic when the launch of OpenAI’s ChatGPT sparked a series of internal experiments with AI tools to accelerate their own marketing growth.
Using the tools they developed internally, the company’s organic search traffic increased 100-fold while paid customer acquisition costs fell by roughly 80 per cent.
When the founders shared the tools with other entrepreneurs, demand quickly grew.
“We kept hearing the same question from founders: ‘Can we use this too?’,” Pellan said.
This demand prompted the team to pivot away from gaming and develop the platform into a standalone growth product for SMBs.
Mega’s early growth has been rapid. The company reports that it went from zero to $10 million in revenue within ten months of launching its platform.
Customers span a wide range of industries, including home services companies, law firms, healthcare providers, e-commerce brands and software businesses.
In one example cited by the company, a Texas-based medical spa increased its search traffic by 174 times using the platform’s automated SEO tools. A personal injury law firm saw a 243-fold increase in search visibility and began ranking in the top three for key search terms.
Another client, a direct-to-consumer health brand, generated $120,000 in revenue through its website while surpassing its Amazon marketplace performance without increasing advertising spend.
Across its customer base, Mega claims the platform helps businesses grow around 20 per cent faster on average.
For many clients, the appeal lies in removing the complexity of managing digital marketing tools and agencies.
Darin Chase, a home services business owner using the platform, said: “Since working with Mega we are finally getting a predictable lead flow. We are also able to divert our time away from Facebook marketing to other important projects because Mega manages everything.”
Mega is targeting the vast SMB marketing sector across North America, where tens of thousands of agencies serve millions of small businesses.
Despite the size of the market, many SMBs continue to struggle with inconsistent marketing performance, unpredictable customer acquisition costs and limited visibility into which strategies actually generate revenue.
As digital advertising becomes increasingly competitive and search ecosystems shift toward AI-driven discovery, many smaller businesses are finding it harder to compete with enterprise-level marketing operations.
Investors believe Mega’s approach represents a major shift in how growth services can be delivered.
“Mega represents a fundamental shift in how SMBs should think about marketing, from paying for effort to paying for measurable, repeatable growth,” said Vivek Subramanian, partner and chief product officer at Goodwater Capital.
With the new funding secured, Mega plans to expand its platform beyond its current capabilities.
Future development will include AI-driven management of email marketing, outbound sales campaigns, organic social media growth, lead qualification and sales operations.
The company’s long-term vision is to create a fully automated revenue-generation infrastructure that allows small and mid-sized businesses to access enterprise-level marketing capabilities without enterprise-level costs.
The platform could eventually act as a unified growth system that manages the entire customer acquisition pipeline for SMBs.
If successful, Mega believes its model could fundamentally reshape how smaller companies approach marketing in the AI era.
By replacing manual marketing workflows with automated systems capable of continuous optimisation, the company aims to give smaller businesses the ability to compete with much larger organisations in increasingly competitive digital markets.
Amy is a newly qualified journalist specialising in business journalism at Business Matters with responsibility for news content for what is now the UK’s largest print and online source of current business news.
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