Beyond the Blue Link: Making Your Brand Visible to AI

Ben cohen

Picture a buyer sitting down on a Tuesday night. She types into an AI assistant: I run a ten person design agency, compare the three best project tools for us and tell me which one to pick. She gets a clean answer in about fifteen seconds. There's a shortlist, some pros and cons, and a recommendation. She picks one and signs up. She never visited a single company website.

Ido

And if you're one of those companies, your analytics show nothing. No visit, no bounce, no lost sale you could ever trace. The decision happened somewhere you couldn't see. Maybe you were in the answer. Maybe you were in it and described wrong. Maybe you weren't there at all.

Ben cohen

That's the question for this whole episode. How does a brand stay visible when the thing standing between the customer and the web is an AI assistant?

Ido

Welcome to Be Visible. I'm Ido Navarro. I work on websites and agentic AI experiences, and I've built a lot of sites over the years.

Ben cohen

And I'm Ben Cohen. I come at this from the business side, meaning customers, growth, and whether any of this turns into real opportunity. I also built a free tool called the AI Content Reader that shows what a website looks like to systems like ChatGPT, Claude, Perplexity, and Gemini. So I've spent a lot of time staring at how machines see pages. Today we're covering how AI search and agents change visibility, what you can do about it this week, and what's still experimental.

Ido

Let's start with what actually changed. Classic search gave you a ranked list, ten blue links. You could check your position, and it was roughly stable. Generative engines like ChatGPT, Perplexity, Claude, and Google's AI Overviews don't work like that. They build an answer, and that answer is probabilistic. Ask the same question twice and you may get different wording, different sources, even a different order of brands.

Ben cohen

Which breaks the whole idea of rank. There's a video reviewing AI visibility tools where the speaker says, and I'm quoting, Rank isn't really something for us to look at. We're really looking more at like brand mentions and citations. That stuck with me, because it changes what we report on. Tools in this space talk about a visibility score, which is how often your brand appears, citation detection, average position inside an AI answer, and net sentiment.

Ido

Right. And I'd add that visibility used to mean one thing, being found. Now there are more steps. The system has to discover you, then understand you correctly, then consider you credible, then quote or reference you, then recommend you when someone's deciding. And for agents there's one more step, which is being usable. Can the agent actually do something on your site?

Ben cohen

Okay, but let me play the skeptic, because I know a lot of listeners are thinking it. Is this really different from SEO? Or is GEO just SEO with a new acronym so somebody can sell a course?

Ido

Fair, and honestly, mostly it builds on SEO. If AI engines can't crawl your site, or your content is thin, you're in trouble in both worlds. SEO is about crawlability, indexation, and ranking URLs. GEO adds a layer around extractability, comprehension, entity clarity, and being worth quoting. Can a model pull a clean answer out of your page? Does it know which company you are, as opposed to some other company with a similar name?

Ben cohen

So the unit changes. SEO ranks a page. GEO is about whether a piece of your page becomes part of an answer.

Ido

Exactly. And there's another difference. These models seem to weigh consensus across the web. Not just what you say on your own site, but what third party sites say, what shows up on LinkedIn, in community discussions. That's an interpretation based on how these systems are described, not a guarantee of how any one engine decides, but it matches what practitioners report.

Ben cohen

That's a big deal for business owners. Brand mentions in trusted places aren't just PR anymore. They may shape how the AI understands you.

Ido

Yes. And on your own site, the content format matters. The GEO Lab, which publishes a technical guide for WordPress, recommends a structure you can remember as question, answer, explanation, evidence, example. You put the question in a header, answer it directly in two or three sentences, then explain, back it up with data, and give a practical example. It's basically writing in a way that's easy to lift.

Ben cohen

I love that, because it's also just good writing for humans. Compare a homepage that says we unlock synergy through innovative solutions with one that says we do bookkeeping for freelance photographers. Only one of those lets a model, or a person, say what you do, who you serve, and why you're trustworthy.

Ido

And trust has a very boring side. Author identity. That same guide points out a common WordPress mistake, posts published under admin or webmaster. If a model is trying to work out who's behind the content and what their expertise is, admin tells it nothing. A real name, a bio, credentials, and the same name on LinkedIn and in your bylines all help build a consistent entity.

Ben cohen

Then there's original material. Your own data, your own examples, clear definitions. If everyone publishes the same generic summary, why would a model quote yours?

Ido

It wouldn't, and I'd hold that as a principle rather than a proven rule. Let's get into infrastructure, because this is where I get excited. Here's the analogy I like. A modern website is like a beautifully designed restaurant. Moody lighting, heavy furniture, interactive decor. A human walks in and loves it. But an AI bot doesn't care about the lighting. It wants the menu. What dishes exist, what do they cost.

Ben cohen

And too often the bot has to inspect the furniture to find the menu. That's what my AI Content Reader is meant to show. You strip out styling, scripts, and visual layers and see what's left. Sometimes what's left is a pile of navigation, repeated interface pieces, and code, with the actual message buried.

Ido

There's a cost to that, sometimes called a token tax. Deep template nesting, heavy JavaScript, and page builders can produce a lot of HTML, and the model has limited room to read. The GEO Lab guide says heavy builders like Elementor, Divi, and WPBakery generate code bloat that's hard to parse cleanly, and it suggests using them for landing pages rather than blog content. I've built plenty of sites with builders, so I'm not here to bash them, but it's worth knowing the tradeoff.

Ben cohen

So clean markdown is the printed menu. Same content, less noise. Headings, lists, tables, the words that matter, and nothing else.

Ido

Yes. And one tool in that video, Salespeak, can generate streamlined versions of pages for AI bots by stripping out template code. The speaker's argument was that reducing the work these tools have to do can be a positive signal for retrieval. I'd file that as a plausible claim, not a proven ranking factor. But the direction makes sense to me. Over time a site may serve different representations of the same content, a rich one for humans and a cleaner one for machines.

Ben cohen

Which brings us to the file everyone asks about. Does adding an llms dot txt file suddenly make a website visible?

Ido

No. Let's be really clear. Llms dot txt is a proposed convention, an experimental one. It's not an official W3C standard and it's not a magic ranking switch. The idea is a curated markdown file at the root of your site that lists your most important pages with short summaries, like a map. Then there's a companion, llms full dot txt, that bundles the complete text of those pages in one place.

Ben cohen

So the first is a concise index, and the second is more like handing over the whole binder.

Ido

Right. The index helps an agent or crawler find what matters. The full file saves it from fetching and cleaning every page. Where is it useful today? Possibly for tools and agents that choose to look for it, and for documentation heavy sites. But I wouldn't claim every major AI engine reads it, and having one doesn't guarantee more citations. Think of it as an ingestion roadmap.

Ben cohen

This is where a tool can be handy, as long as we're honest about it. LLMagnet is one example in this category. It has an llms dot txt generator that keeps the file updated, and it tracks visits from AI bots like ChatGPT, Gemini, and Claude, so you can see which pages they actually touch. But a bot visit is not the same thing as being recommended. That's a limit worth remembering with any dashboard.

Ido

Agreed. Then schema. The GEO Lab guide calls it the ID badge your content wears for AI. Instead of the model guessing that a page is an article by a certain person, the markup says it explicitly. Organization, author, article, FAQ, product, service, review, event, local business. Each tells a machine what something is.

Ben cohen

And that guide says FAQ schema is one of the most directly extractable formats for AI. Pre structured questions and answers. That's their claim, and it makes sense, since the answer's already packaged.

Ido

But schema has to match what's visible. If your markup says one price and the page says another, or your schema describes a service you barely mention, that's schema drift, and it can make things worse. Other mistakes: generic markup, duplicated markup, automatically generated markup nobody reviewed, even running two SEO plugins at once so they output conflicting schema. And add dateModified, not just the publish date, so a freshness signal exists.

Ben cohen

And schema can't rescue weak content. A badge on an empty room doesn't make the room useful.