A user asks Gemini: \u201cFind me a task chair under $400 with lumbar support and free shipping. Order the best one.\u201d<\/p>\n
The AI doesn\u2019t open a new tab. It doesn\u2019t ask the user to click anything. Instead, it queries product databases, cross-references reviews, checks real-time inventory, compares shipping policies, and initiates a checkout \u2014 all without a human touching a single page.<\/p>\n
These are all things the user would have done themselves, but now in a fraction of the time, with as much effort as it took to write the initial prompt.<\/p>\n
Okay, we might not be quite at the stage where everyone is letting AI agents make all their purchases for them. But it\u2019s no longer an unrealistic future.<\/p>\n
What made that possible isn\u2019t the AI models themselves. It\u2019s the infrastructure we\u2019re seeing become an increasingly important part of how modern websites are built. This infrastructure consists of a stack of protocols that tells AI agents how to find each retailer\u2019s site, understand their catalog, verify their claims, and take action.<\/p>\n
These protocols define how AI agents interact with your brand. And most SEOs have no idea they exist.<\/p>\n
By the end of this article, you\u2019ll understand what each protocol does, how they differ from one another, and why you need to pay attention to what\u2019s going on underneath the hood of AI search if you want to stay visible going forward.<\/p>\n