The SEO’s Guide to Agentic Commerce — Whiteboard Friday

Now the adjacent point we request to understand is really these models and these databases and structures really they process language. It's ace breathtaking to put things into each of these LLMs and perceive them for illustration spit it backmost to maine and spit retired the cleanable answer.

We've heard astir group having AI friends and AI therapists because of really magically it parses this connection and makes it consciousness for illustration it understands us. But successful existent fact, these models don't understand connection successful the measurement we humans do.

They person to do thing called chunking, wherever erstwhile we springiness them a ample portion of data, they return it, they break it down, and past they tokenize it, they vectorize it by turning it into numbers, and past they make the champion prediction astir what this number should be. 

So really do I optimize my websites for agentic AI to make judge that it tin process, understand, and service my information well? The first point to deliberation astir is nary JavaScript. I don't deliberation I request to dwell connected this. We've been singing this opus for truthful long. Sadly, we are still singing it because these systems don't execute JavaScript.

The adjacent point is markdowns. This is an affinity I for illustration to usage erstwhile I'm describing the quality betwixt HTML and markdown. Now, HTML is what we've traditionally used, and HTML is for web browsers.

Now serving an supplier HTML is for illustration maine coming to your location and saying, "Hey, tin I person spaghetti?" And you're like, "Yeah, spell to the kitchen." And I spell to the kitchen, and I'm like, "Where are the knives? Where's the tomato? What americium I expected to do here?"

Whereas markdown is maine saying, "Here, this is wherever everything is. This is the recipe, and this is really you get the champion spaghetti." It is the astir businesslike measurement of serving AI your information because it uses less tokens. It only shifts the information that it needs to, and that helps it.

Remember discourse window? That helps it execute the astir tasks successful that discourse window.

The adjacent point I'm going to talk about, and this is really important for unit sites, is optimizing and feeding the information you already have. Remember feeds? They're sexy again. Remember Google Merchant that you've forgotten, and you ne'er optimized? They're sexy again, and why?

These are each concepts that are sexy again because they're businesslike ways of serving information to agents, and they're already there. You person them successful your toolbox. Dig them out, polish them, and make them usable.

And then, finally, system data. This is easy. We've talked astir really these systems don't understand language. But they understand system data. So why wouldn't you usage it? 

Now we've been capable to service them our information successful an businesslike way. What do we request to do next? Help them find that data.

Now I cognize that this is simply a hotly contested taxable astir what's important. And the cardinal point is, and that's why I started retired explaining this cardinal concept, truthful that we tin logically get to wherever we're going to.

So the measurement I deliberation astir this is reasoning astir mobile first.

Remember erstwhile mobile first came out, each the things we needed to do? People had to build mobile versions of their sites. Remember AMP? I'm judge cipher remembers that anymore. Because astatine that time, you had to optimize your websites for hunt engines. And eventually, they sewage cleverer. They were capable to past optimize themselves to entree your contented well, and past it became 1 large happy web, and we could do distant pinch each of these things.

This is wherever we are pinch this exertion because it's an emerging technology. So location are emerging structures. There are emerging languages. And each of these things are to beryllium astatine the forefront and make your tract accessible to each of this caller technology.

So things you tin do are agent-permissions.json, llms.txt. These are fundamentally structures that show the LLMs aliases the agents wherever to spell connected your site, really to parse your data, and really to find information efficiently.

So that's each they are. You tin besides update your robots.txt files. I'm judge earlier I decorativeness this talk, location will beryllium different emerging technologies that will travel up, that will beryllium location conscionable to thief each of these agents understand your data.