Phil Risher explains why generic AI content fails for SEO: search engines catch duplicated material. Instead, extract real customer conversations from sales calls and service recordings to build a knowledge base, then create content from that. Unique, specific insights beat the generic output everyone else can produce.
Here's the problem when we think about content. There's called AI slop. You could go to Claude and say, hey Claude, write me the best website that's SEO optimized, gonna rank me number 1 tomorrow, and then slap it up here. And Google knows this, which is why they came out with their non-commodity content talk. Basically, as a business, we have to create content that is not duplicatable and it is specific to us. So the way that we do this as a company is we, I mentioned it about extracting the customer calls, whether that's your sales calls, your service calls, your calls from tracking phone numbers, whatever. And then we build a knowledge base for our clients. And then when we create content, we go upstream from the calls through the knowledge base to create content where a lot of people start with AI slop. And again, it's not going to help them because it's the same thing that everyone else can say and there's no unique thing.
