Charleston just got an AI food critic.
TasteSignal.ai launched six weeks ago, built by Aaron Pennell — a College of Charleston School of Business adjunct professor who got tired of hand-curating restaurant recommendations every time a friend announced a trip to town.
So he built a platform. A proprietary AI algorithm pulls in five data streams — critical reviews, crowd sentiment, trending data, consistency, and local relevance — scrapes the internet for everything written about Charleston's dining scene, fact-checks the results, then spits out rankings. It refreshes monthly. It covers 240 restaurants across 16 dining categories.
The top five
For April, TasteSignal.ai named Wild Common, Chubby Fish, Vern's, Malagón, and FIG as Charleston's best overall restaurants.
Hard to argue.
Other categories include best date night, best brunch, best outdoor dining — the kind of granularity a tourist, a transplant, or a Charlestonian trying to answer the same text for the 400th time actually needs.
How it works
The site cites its sources. Every ranking comes with a confidence score. Users can suggest spots the algorithm missed. That transparency is the whole point.
"It can process all that information in a relatively short period of time," Pennell told the Post & Courier. "We just analyze the data that's available."
He's quick to say TasteSignal isn't trying to replace food writers. He frames it as a companion — a friend with a very good memory who has already read every review you haven't.
"We're not at all trying to be a food critic," he said.
The classroom angle
The 40 students in Pennell's business and management class are using TasteSignal.ai as a live case study in AI and analytics. Real model. Real market. Real business decisions playing out in real time.
That's the part worth pausing on. Most AI experiments in Charleston don't ship. This one did. It's been live for six weeks and has already pulled 2,000 views, Pennell said.
What's next
Pennell wants to scale TasteSignal beyond Charleston, add partnerships with food experts, and eventually build a phone app. For now, everything lives on the website.
Why it matters
There's a certain kind of Charlestonian who bristles at the idea of an algorithm ranking local restaurants. Fair. Food is personal. The best place is usually the one a specific person you trust tells you about.
But this one earns a look. It's transparent. It's local. It shows its work. And the April top five reads like a list any thoughtful Charleston eater would co-sign.
A CofC professor built it. His students are running it as a live case study. The results are online, free, and genuinely useful.
That's a real Charleston story.
This is a summary of an article published in the Post & Courier. Click here if you'd like to read that article.
