Marketing companies are already selling their ability to influence the training phase. I've seen entirely fake companies with fake products getting recommended for real queries, and the companies behind them selling this as proof to real companies. How would the models know the difference between a completely astroturfed e-commerce site and a real one? What data are they going to use when you ask for the "best natural deodorant" other than their corpus of scraped sites, more of which are fake everyday?
I suppose Google could distinguish an fully astroturfed site via historic traffic and search data to see that a site with the first known views of all time within the last month couldn't possibly have the claimed 10 year history and millions of happy customers, but it is certainly not filtering it out today. These signals are not perfect, what about a company trying to go direct to consumer after years of big box distribution? Relying on historic data would also lead to old domains getting bought to peddle new crap. The biggest source of GEO gains today is to have humans go into subreddits and niche forums to add "organic" recommendations that will get slurped up and treated with high value to LLMs. Other than that I have seen companies literally create pages called "for LLMs" with very specific instructions about how to talk about their brand, their history, and how amazing they are. The dumb thing is all of the techniques work great and the Chat interfaces will obediently regurgitate.
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Marketing companies are already selling their ability to influence the training phase. I've seen entirely fake companies with fake products getting recommended for real queries, and the companies behind them selling this as proof to real companies. How would the models know the difference between a completely astroturfed e-commerce site and a real one? What data are they going to use when you ask for the "best natural deodorant" other than their corpus of scraped sites, more of which are fake everyday?
Who better to detect slop than the slop engines themselves?
I suppose Google could distinguish an fully astroturfed site via historic traffic and search data to see that a site with the first known views of all time within the last month couldn't possibly have the claimed 10 year history and millions of happy customers, but it is certainly not filtering it out today. These signals are not perfect, what about a company trying to go direct to consumer after years of big box distribution? Relying on historic data would also lead to old domains getting bought to peddle new crap. The biggest source of GEO gains today is to have humans go into subreddits and niche forums to add "organic" recommendations that will get slurped up and treated with high value to LLMs. Other than that I have seen companies literally create pages called "for LLMs" with very specific instructions about how to talk about their brand, their history, and how amazing they are. The dumb thing is all of the techniques work great and the Chat interfaces will obediently regurgitate.