GEO Is a Distraction: Here’s Where the Real Opportunity Is

AI is absolutely rewriting how the internet works, but optimizing for large language model visibility misses where the actual return on investment exists as the web morphs from a place to find information to the agentic web. Have you measured how many of your website's visitors come from LLM tools like ChatGPT?

I looked at 12 months of GA4 data across 100 different websites of varying sizes with over 145 million sessions. In this dataset, sessions from ChatGPT amounted to just 0.62% of the volume driven by Google Organic.

What About Conversions?

Of the 100 sites in my dataset, 55 were tracking conversions in GA4. I did indeed find that ChatGPT visitors converted at a higher rate. Google organic visitors converted at a rate of 3.02%. ChatGPT visitors converted at a rate of 13.8%. The practical question is what this changes in the system: the page structure, the evidence presented, the measurement habit, or the way the topic is connected to related work. A useful companion note is Questions That Reveal Your Real Search Performance, because it looks at a nearby part of the same system.

The practical value is in connecting the idea to an observable signal. That means deciding what should be checked, what would prove the issue is real, and where the team should make the smallest useful improvement first.

Yes, AI Is Changing Search, But Google Is Still The Most Important Search Engine

There's so much focus in our industry on "GEO", optimizing for generative engines. It boggles my mind how much money has been raised and earned by companies that track your mentions in ChatGPT and other LLM tools. We can all see that AI. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

The risk is usually hidden in the execution layer. A page can look fine to a human and still fail for an automated visitor if the form, call to action, rendering path, or confirmation step is not accessible enough for the agent to complete the task.

Start Thinking About The Opportunities In Agentic Search

Google's CEO Sundar Pichai recently said that " Search will become an agent manager. " This means that Search shifts from being a passive way to find links to an active work coordinator. I don't think anyone, even people from inside. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence.

Google's Universal Cart

The Universal Cart aggregates products from multiple retailers into a unified checkout within Google Wallet. It actively monitors price adjustments, promotions, and restocks. Searchers are able to add products from multiple vendors and. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence.

The useful check is whether this improves the system behind search performance, not only the words on the page. Internal links, crawlable content, clear entities, current evidence, and a sensible page structure all help the recommendation become easier to trust.

Universal Commerce Protocol

Governed by Google, Shopify, and Stripe, UCP provides the open discovery layer for AI agents to compare inventory and purchase natively, keeping your client as Merchant of record. People will be able to buy your products without ever. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.

The reporting question is whether this signal changes a decision. If it only creates another number in a dashboard, it adds noise. If it helps separate profile activity, website visits, calls, bookings, and direction requests, it can make local performance easier to understand.

WebMCP (Model Context Protocol)

WebMCP enables websites to expose their interactive functions (forms, calculators, booking schedulers) directly to AI agents via declarative markup and imperative APIs. Where the opportunity lies: There is so much to learn here! I do think. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence.

Intelligent Eyewear

Google doesn't want us to say "AI Glasses," but rather, they are calling it " Intelligent Eyewear." Google says its first intelligent eyewear devices are coming this fall (i.e., any day now). Gemini powered eyewear running Android XR. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

A Prompt For You To Use

There's no denying that Search as we know it is changing. But chasing ChatGPT citations and LLM mentions is optimizing for the wrong target. I'd encourage you to really study how Google Search and its AI surfaces are representing your. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

What About Conversions? in practice

Introduction AI is absolutely rewriting how the internet works, but optimizing for large language model visibility misses where the actual return on investment exists as the web morphs from a place to find information to the agentic web. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

What the visibility signal actually changes

What the visibility signal actually changes: gEO Is a Distraction: Here’s Where the Real Opportunity Is: the Practical Angle should be treated as a visibility signal, not a standalone headline. Introduction AI is absolutely rewriting how the internet works, but optimizing for large language model visibility misses where the actual return on investment exists as the web morphs from a place to find information to the agentic web. Have you measured how. This connects with Here’s the Fix when the same signal needs a clearer operating decision. The same pattern also shows up in If an AI Watermark Scares You, where the practical question is how the signal becomes visible.

What the visibility signal actually changes: the practical question is whether the page, brand evidence, and surrounding content make the answer easier to trust. If that support is weak, search systems can still understand the topic but fail to connect it confidently to the brand.

What the visibility signal actually changes: that is why the response should begin with an audit of the evidence already on the site before creating a new asset. The fastest improvement is often a clearer page, a better internal link, or a stronger explanation of why the brand belongs in the answer.

Where the evidence needs to be tested

Where the evidence needs to be tested: a single study or ranking observation should not become a strategy by itself. It should become a diagnostic prompt: which source is being trusted, which query pattern is affected, and which part of the site would make that trust easier to earn?

Where the evidence needs to be tested: that keeps the response grounded. The goal is to improve the evidence chain around the topic rather than publish another summary that repeats what every other page already says.

Where the evidence needs to be tested: the important distinction is between a useful signal and a fashionable talking point. A useful signal changes the brief, the page structure, the linking plan, or the measurement view.