We help local businesses get recommended by AI tools — not just ranked on Google. And we make sure they stay recommended.
Built by a team that's spent careers in search, AI, and digital publishing.
Before there was Google, before there were yellow pages, before there were neon signs in shop windows, there was a small business owner standing on the sidewalk holding a sandwich board.
It worked because it answered the most important question in local commerce: when someone walks by looking for what you sell, do they see you, or do they see your competitor? The merchant who put themselves in the foot traffic — and put the right message on their sign — got the customer. The merchant who didn't, lost the sale. And the smart ones kept their sign up after the first week, when the new butcher down the street put his out.
AI changed the sidewalk. Today the person looking for a landscaper, an attorney, or a plumber isn't walking down Main Street. They're typing a question into ChatGPT. Asking Siri. Talking to Alexa. The AI walks past dozens of businesses on their behalf, evaluates them based on signals most business owners don't know exist, and picks one or two to recommend. The rest disappear.
This is the new sidewalk. And most local businesses are invisible on it. Not because their work is worse than the competitor that gets recommended. Not because they're priced wrong. But because nobody's told them where the foot traffic is now, how to put their sign up where the AI will see it, or how to keep it up once competitors do the same.
That's what we do. Same idea your grandfather had. New sidewalk.
Four principles guide every playbook we write.
Nearly 40% of customers now start their search in an AI tool. By 2027, ChatGPT alone is projected to handle more daily searches than Google. The businesses winning are the ones who started optimizing for it 18 months ago — and who stay in front of changes as the tools shift.
There's a lot of speculation about how AI tools rank businesses. We don't speculate. We run the actual prompts your customers run, capture which businesses each AI recommends, and reverse-engineer what made the difference.
Schema markup. Vector embeddings. Co-citation graphs. We can talk that language. Our playbooks don't. Every recommendation is something a marketer, in-house webmaster, or general-purpose agency can run in an afternoon.
Lifetime money-back guarantee on every playbook. If the recommendations don't help you, you don't pay for them. That's not a risk we take lightly — it's a discipline that keeps us honest.
Three operators with a combined 60+ years building search, AI, and digital media.
Byron Reese has been a technology entrepreneur for over 25 years. He has founded and sold multiple companies, including two with NASDAQ IPOs, across artificial intelligence, search, and digital publishing. The websites he has launched have together received over a billion visitors and three billion YouTube views.
He is the author of five bestselling books on technology, history, and the future — including The Fourth Age, Stories, Dice & Rocks That Think, and We Are Agora — with over 400,000 copies sold and translated into 13 languages. Bloomberg Businessweek credits him with "quietly pioneering a new breed of media company." His work has appeared in The New York Times, Washington Post, USA Today, NPR, and dozens more.
Byron holds five technology patents in disciplines as varied as crowdsourcing, content creation, and psychographics.
Ethan Trex has been a leader in digital publishing for 25 years. His brands' videos have generated over 1 billion views, and he has helmed several websites that generate over 10 million visits from Google each month while winning multiple Webby Awards.
Ethan has also developed content marketing programs for partners like IBM, Allstate, and Chase. As President of Mental Floss and CEO of LoveToKnow Media, he led teams that built durable, organic-first audiences across categories ranging from history and science to home and lifestyle.
He holds a Master's degree in applied economics from the Wharton School of the University of Pennsylvania.
Kevin Fink has built AI and data-powered products from zero to scale across multiple companies as a Chief Technology Officer. His engineering teams have shipped systems serving billions of visitors annually.
Kevin specializes in the operational side of AI deployment — taking systems from research-grade prototypes through to production environments that handle real-world traffic with real-world reliability. He has architected the data pipelines, search infrastructure, and machine learning systems behind several widely-used consumer products.
Earlier in his career he optimized large content platforms for organic search, an experience that informs Sandwich Board AI's testing methodology today.
What our founders have shipped done SandwichBoardAI.
AI is rewriting how customers find local businesses — and most local businesses don't know it yet. We're here to fix that. To translate the new rules of AI search into plain-English fixes any small business can run. To put the sign back up — and help them keep it up.
If you run a local business — or you work with one — we'd love to help.