Google's GEO guide is out, and the news is that there is no trick

Everyone is selling generative engine optimization as a new dark art. Google's own guidance says the opposite: to show up in AI answers, do the SEO you should already be doing. Here is what actually matters and what to ignore.

31 July 2026· Hüseyin Çınar

There is a new acronym making the rounds - GEO, generative engine optimization - and with it a fresh wave of people selling the secret to getting cited by ChatGPT, Perplexity, Gemini and the AI answers now sitting on top of Google. So when Google published its own guidance on optimizing for generative AI features, I read it carefully, because I run a bilingual site I actually want to appear in those answers. The short version is almost funny: there is no trick, and the people selling you one are mostly selling SEO with a new sticker on it.

Google says it plainly. Optimizing for generative AI search, in their words, is optimizing for search - it is still SEO. A page can appear in an AI answer only if it is indexed and eligible to show in normal Search with a snippet. That is the whole gate. Everything past "your page is crawlable, indexable and actually good" is the same work we have been doing for years.

The more useful half of the guide is what it tells you to stop doing.

You do not need special machine-readable files for AI. Google names this directly: it ignores llms.txt. It will neither help nor hurt you. I keep an llms.txt on my own site and I am leaving it there, but with clear eyes now - it might help other engines that choose to read it, and it does nothing for Google. If someone tells you an AI text file is your ticket into AI answers, they have not read the primary source.

You do not need to chop your content into tiny chunks so a model can "digest" it. You do not need to write in some special robotic phrasing, pad the page with long-tail keywords, or go buy inauthentic "mentions" across the web. Each of these is a small industry right now, and Google's guidance quietly says none of it is necessary.

So what does matter? The boring, durable things.

First, a unique, first-hand perspective. Google's own example is sharp: "Why we waived the inspection and saved money" beats "7 tips for first-time homebuyers", because one is lived experience and the other is a commodity anyone can generate. This is the part I care about most, because it is also the only real defense against a web drowning in generated sameness. If your page only repeats what a model already knows, there is no reason for a model to cite it. If it holds something only you could have written - a number from a system you actually ran, a mistake you actually made - it becomes worth quoting.

Then the rest: structure a human can follow, with real headings and a clear main point. Good page experience - fast, readable on a phone, main content not buried under pop-ups. Less duplicate content, so you are not wasting your own crawl budget. Images or video where they genuinely help. And keep your structured data - not because there is a magic AI schema (there is not), but because it keeps you eligible for rich results, which is ordinary SEO hygiene.

There is one genuinely new thing worth doing, and it is not on your page at all: Search Console now has a generative AI performance report, so you can see how you show up in AI features instead of guessing. The warning Google attaches to it is worth repeating - be wary of any third-party tool promising to game AI rankings, because none of them have access to the systems they claim to influence.

I will tell you what I actually changed on my own site after reading this, because it is undramatic on purpose. I confirmed every page is crawlable and returns real HTML from the server, not content that only appears after JavaScript runs. I made each article lead with a plain one or two sentence summary in my own words, so the answer sits near the top for a human and for a model reading top-down. I added breadcrumbs so the structure is explicit. I kept my structured data and my llms.txt. That is the whole list. No secret file, no keyword ritual.

The uncomfortable, freeing truth in Google's guide is that GEO is not a new discipline you are behind on. It is the same request the web has always made: be genuinely useful, be readable by machines, and have something to say that is actually yours. The tools doing the reading changed. What makes something worth reading did not.