GEO for the AI Web: Serving Humans, Bots, and Agents

Ben cohen

You know, I was looking at some traffic logs last week and it really, it really hit me. People are completely changing how they buy things online. A buyer today will go into ChatGPT or Claude or Perplexity, and they will, they will ask for a comparison of five different SaaS platforms, get a detailed feature breakdown, evaluate pricing, and literally make a purchasing decision right there inside the chat window. They never, not even once, click through to your homepage.

Ido

Right, right. It is like, um, think about a restaurant, right? For twenty years we spent all this money decorating the dining room. We put up fancy lighting, custom JavaScript animations, gorgeous hero banners. But when an AI crawler like GPTBot or ClaudeBot comes to your site, it is not sitting down in the dining room to look at the wallpaper. It just wants to read the printed menu. And if your menu is buried under ten layers of heavy page builder bloat, like, like Elementor or Divi code, the crawler just gets frustrated and walks away.

Ben cohen

Yeah, exactly. That is where we have to reframe how we build for the web entirely. You are not just building for one visitor anymore. You are actually building for three completely different audiences at the exact same time. First, you still have the human who wants visual reassurance and branding when they do land on the page. Second, you have the machine interpreter, the LLM that needs clean markdown and structured schema markup to digest what you do. And third, now we have autonomous agents, software that is actually trying to complete a task, like booking a demo or checking inventory on your site.

Ido

And, and that second audience, the machine, that is where people are getting crushed right now. When I look at WordPress setups, so many sites are serving megabytes of useless HTML template tags and div wrappers. Every single piece of junk code adds to the, the token tax that large language models have to pay just to parse your content. If you strip away that visual noise and serve clean, structured text, you reduce the work the LLM has to do to retrieve your information. That token efficiency makes models much more likely to pull your site as a cited source.

Ben cohen

It is a massive shift from traditional SEO. Traditional SEO was about getting a blue link on a page of ten results. GEO, Generative Engine Optimization, is about making sure your brand is the actual answer the AI synthesizes for the user.

Ido

So, okay, if someone is listening right now and thinking, how do I actually fix this on my site today? Where do they start? The absolute baseline, step number one, go check your robots dot txt file right now. You would be shocked how many sites are accidentally blocking GPTBot, ClaudeBot, Google Extended, or PerplexityBot. If your security plugin or your hosting default blocks those bots, you are literally invisible to AI engines. You do not even exist in their world.

Ben cohen

That is the foundation. And right on top of that is schema markup. Schema is basically the ID badge your content wears for AI. If you run WordPress, getting Rank Math or Yoast configured for Article schema with a explicit dateModified signal is critical. That modified date tells the model your information is fresh and maintained. And FAQ schema, man, FAQ schema is the absolute gold mine for GEO. When you structure real questions and two or three sentence answers using FAQ blocks, you are handing the AI pre structured quotes on a silver platter.

Ido

What about, uh, llms dot txt? People keep talking about adding an llms dot txt or llms full dot txt file to the root directory. Is that, is that like a magic silver bullet for AI rankings?

Ben cohen

I mean, look, it is not magic, right? An llms dot txt file is essentially a clean, markdown based map of your website specifically structured for AI crawlers. It makes it extremely easy for a bot to digest your core documentation or product specs without getting lost in page layout. But, and this is a big but, having a clean llms dot txt file will not make up for terrible content or a complete lack of brand authority across the web. It helps with discoverability and clarity, but the model still needs to trust your entity.

Ido

Yeah, that makes sense. And that is why platforms like LLMagnet have become so fascinating to watch. Instead of just guessing whether your AI visibility is improving, tools like LLMagnet track actual LLM bot visits in real time. They give you a single AI visibility score, track prompt mentions across ChatGPT, Gemini, and Claude, and show you exactly which prompts include your brand versus your competitors. You can actually see if your GEO efforts are moving the needle.

Ben cohen

And tracking those prompts is how you prepare for the next phase, which is full agent readiness. As AI agents start taking actions on behalf of users, like filling out forms, querying live pricing, or booking appointments, your site structure becomes your API. Clear form labels, clean navigation, predictable button text, and rich schema markup are what allow an agent to navigate your business without breaking.

Ido

It really is the same kind of transition we saw with mobile responsiveness fifteen years ago, except it is happening three times faster. So, here is your homework for today. Do not wait. Open ChatGPT, Perplexity, and Gemini right now. Take five core questions your potential customers ask before buying your product, type them in, and see if your brand gets cited or if your competitors own the answer. That fifteen minute audit will tell you everything you need to know about where you stand on the AI web.