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Scrunch AI raises $15 million in Series A funding

The platform helps companies improve how they appear in AI searches.

Two business hands shaking with money in between falling out. (Credit: Illustration: Anna Kim, Photos: Adobe Stock)

Illustration: Anna Kim, Photos: Adobe Stock

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Scrunch AI, the two-year-old platform working to improve how companies appear in AI searches, raised $15 million in its Series A funding in July. The round was led by venture capital firm Decibel and included participation by strategic investors like Mayfield and Homebrew.

“Your website doesn’t need to go away, but 90% of its human traffic will,” Chris Andrew, co-founder and CEO of Scrunch AI, said in a press statement. “AI agents are becoming the new front door to your brand, and we’re building the infrastructure that helps you show up, stand out, and stay ahead. The way people discover brands is changing fast, and marketers are scrambling to catch up.”

Customer retention: According to the company, Scrunch AI has grown its customer base 50% month over month and currently has over 500 clients. Scrunch AI said most clients have come from inbound demand, with customers reporting an average of 40% increase in referral traffic and up to four times improvement in visibility across AI platforms.

Talking to TechCrunch in March, Andrew said: “I think people were like, ‘How do we use AI to make our website better?’ And my mindset was like, ‘Your website’s going to need to be for an agent or crawler in the future.’ That theory has kind of really played out with our customer base at the enterprise level saying our brand is no longer what we say it is. It’s what ChatGPT, Gemini, Siri, Google AI Overviews say it is.”

The implications for revenue teams: After decades of using Google for everything from searching for leads to directing prospects to their sites, revenue orgs now have to navigate the new world of AI search.

Internal workings: Founded in 2023, Scrunch AI analyzed “tens of millions of prompts and citations” to create a platform that understands how large language models operate to help its clients. It previously raised $19 million in funding from Decibel, Mayfield, Homebrew, and other investors.

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