Field notes
Field notes on building for machines as well as people — how AI visibility actually gets made, written from inside the work. No growth hacks, no guaranteed rankings: the verifiable mechanics, and where the hype ends.
AVE Studio · AI Visibility Engineering
Field notes on building for machines as well as people — how AI visibility actually gets made, written from inside the work. No growth hacks, no guaranteed rankings: the verifiable mechanics, and where the hype ends.
Or: how Hungarian businesses spend millions making sure the machines cannot find them.
AVE Studio's measurements led to a simple yet far-reaching realisation: there are two kinds of GEO.
AVE Studio measures per engine whether answer engines name a brand and whether they cite it, publishes every number with a confidence range, and executes the fixes in code. This page shows what that means in practice, line by line: 18 named procedures, each one checkable on our own public surface.
AI does not rank, it selects: it lifts out a few paragraphs and decides whether to say your name next to them. This article walks through the steps of that decision and shows which of them you can influence.
Two memories, one answer. A plain-language look at how AI answers are made, how the two memory layers work, and what role Reddit plays in all of it.
On 2 August 2026 we asked the four major AI answer engines — ChatGPT, Gemini, Claude and Google AI Overviews — in five languages, with 31 fixed questions, which agencies they recommend for GEO and AI-visibility work. This article shows who actually gets named. Measured data, not an editorial ranking.
A sober definition — what it is, how it differs from SEO, and what it cannot do.
The Hungarian market now has dozens of providers selling GEO, AI SEO or AI-visibility services. The field is young. Methodologies are not yet standardised, and prices can differ severalfold.
While most professional debate revolves around which jobs artificial intelligence might eliminate, a group of global corporations is already recruiting for positions that exist precisely because of AI's spread. The job postings of Amazon, Victoria's Secret and Accenture suggest the change won't necessarily begin in some distant future. By the looks of it, it has already begun.
A fair question: can you get into an AI’s answers at all? The short answer: yes — but not the way we’re used to from the world of SEO. Three distinct layers operate side by side, each with its own mechanics. None of them can be guaranteed, but every one of them can be influenced and measured. This piece shows why.
Why Machine Equity Becomes the Defining Marketing Asset of the Next Decade
AI visibility is sold as a tool you run or an agency you hire. The actual work lives across three disciplines that rarely share a desk.