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AVE Studio · AI Visibility Engineering

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.

GEO agencies in AI answers: who do the machines actually name?

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.

AI doesn't just eliminate jobs — it can create new ones, and Amazon and Victoria's Secret are already hiring for them

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.

Is AI visibility even possible?

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.