Jeff Hassemer explains why AI recommendations are up to 30 times harder to achieve than Google rankings, but local businesses can win by embedding hyper-local details. With 350,000 franchise locations across 2,751 brands, national content kills local rankings. Build authority through chamber of commerce links and neighborhood landmarks instead.
LinkedIn just made a change like this recently as well. They've got, they've dropped an algorithm. They're fully AI in how they surface content. So putting in who you're targeting at first is really, really critical. Number 2, local SEO, geo. So getting recommended by AI is not easy. It's up to 30 times harder than just ranking on Google. That may be true from a national perspective, but I think locally you could still win this game. With very, very key information. So the 350,000 locations across 2,751 multi-location brands, this is where your problem lies, is that if you are a franchise and you're working within a multi-location strategy and you're using national content, you won't rank well at all. This is where if you own a franchise or local business, you have to establish local authority links from local chambers of commerce, but also in your content, you mentioning keys of your neighborhoods and landmarks that exist within your environment.
