Announcing ZipSprout

Our Sister Agency for Local Engagement

It’s not a secret that we’ve been focused on local engagement for the past few months. But to make it official, here’s the news:

Citation Labs now has a sister agency – ZipSprout – focused on finding local engagement opportunities for national brands.

ZipSprout finds opportunities with local nonprofits, events and associations, not with national billboard or television brands that divide reach by region. We find options outside of the typical local marketing mold.

Our ideal client is a national and regional company who wants to expand their brand’s reach in key local markets.

So if you’re looking for a different way to engage with potential customers; if you want to reach people where they live, ZipSprout can help you.

We’re at the baseball game.

We can get you tickets to the nonprofit’s gala.

We’re in touch with local influencers.

We can share your brand on local websites and social media.

Check out our recent webinar on local engagement marketing to find out more about how we work:

ZipSprout charges per opportunity found, and we create campaigns based on your brand’s marketing goals. If you’re interested in an introductory conversation, contact us.

Garrett French
Garrett French

Garrett French is the founder of Citation Labs, where he helps brands stay visible in AI answers and search through citation optimization and relevance-led link building at scale. His team studies how buyers use AI tools to shortlist purchases and deploy campaigns designed to increase client citations in recommendations.

He also built Xofu, a platform that tracks brand visibility across AI-generated recommendations, benchmarks competitors, and surfaces the pages AI references. And he leads ZipSprout, which builds sponsorship links by connecting businesses with nonprofits, events, and local organizations.

Garrett’s current explorations focus on decision efficiency and AI response behavior: how buyers decide, how AI systems “decide,” and how comparison assets influence what is cited for high-intent selection prompts.