Google has now put something on the record that many marketers have been circling around for months. AI visibility isn't just a side conversation anymore, as Google has published official guidance on how websites should think about generative AI features in Search, including AI Overviews and AI mode.
While all of it's valuable, the most useful part is that it cuts through a lot of noise. Google isn't saying brands need a secret AI playbook, but that if you want to show up in generative search experiences, then you still need the fundamentals:
- Useful content
- Strong technical foundations
- Pages that are easy to trust and understand
The key takeaway from all of this is that, from Google's perspective, AEO and GEO are still SEO.
The short version
If you only take five things from Google's latest AI Optimisation Guidance update, make them these:
- AI search is big enough to matter now
- Google still sees this as SEO and not a secret, separate dark art
- Generic content is becoming weaker and weaker
- Technical clarity matters as it affects discovery and indexing
- Most of the AI search hacks you're searching for online are just distractions
Why does this matter now?
This isn't happening in a vacuum. Google says AI Overviews now have 2 billion users every month. That's enough to move it out of 'interesting trend' territory and into a real search behaviour shift.
It isn't just Google talking about this either. Microsoft has already introduced AI Performance reporting in Bing Webmaster Tools, allowing you to see when your content is cited in AI-generated answers, which pages are referenced, and which grounding queries are involved.
That's a strong signal that answer visibility is becoming something you're expected to monitor, not just speculate about.
What has Google actually said?
It isn't anything glamorous, but Google says three things matter the most.
1. Keep doing real SEO
Google is very clear in its wording. Optimising for generative AI search is still optimising for Search. Pages still need to be indexed, eligible to appear with a snippet, and still be technically accessible.
2. Create content that's worth retrieving
Google explicitly recommends creating valuable, non-commodity content. It also says having a unique point of view helps, especially when you bring real experience rather than just summarising what's already out there.
3. Maintain a clear technical structure
Google says technical clarity is still central because it affects discovery and indexing. It calls out crawlability, JavaScript SEO where relevant, page experience, and general technical health as part of the picture.
That's the part a lot of brands need to hear. AI discoverability is both a site quality issue and a content issue.
What Google isn't saying
There's a lot of noise out there today that's distracting brands and content teams, so this update is especially useful.
Google has shot down some of the overhyped advice that has been floating around by saying that you don't need:
- Special AI text files like llms.txt
- Chunked content purely for AI
- Content rewritten in a special AI style
- A special scheme layer just for generative search
- Fake mentions created to manipulate visibility
This is perfect timing and important because teams have been at risk of wasting time trying to solve the wrong problem.
What does this mean in practice?
It means you need to think less about AI tricks and more about how understandable and credible your content really is.
Content quality matters more now
If your pages are thin, repetitive, or say the same thing as everyone else, they're easier to replace. Google’s stance on using generative AI content is clear; using AI to produce lots of pages without adding value can violate its spam policies.
Structure matters more now
A page can be technically live and still be hard to use. If the strongest answer is buried halfway down, the headings are vague, and the terminology changes from section to section, you make retrieval harder than it needs to be. Google isn't asking for robotic formatting, but it wants content that's easy to discover, index, and interpret.
Trust signals matter more now
Google’s advice to create unique, experience-led content is effectively a trust signal in editorial form. The more answer-led search becomes the norm, the more value shifts toward content that feels grounded in real perspectives rather than lightly reworked summaries.
Data foundations still matter
This is the less glamorous part, but it's often the one that decides whether good content gets seen. If pages aren't indexed properly, if internal linking is weak, if crawlability is messy, or if key pages are hidden behind technical friction, the content has less chance of being surfaced in any search experience, AI or otherwise.
The common mistakes we're already seeing
Here are the mistakes that keep coming up:
Treating AEO like a separate channel
It isn't. Google is telling you directly that this is still Search. If your SEO foundations are poor, AEO won't rescue you, unfortunately.
Assuming rankings automatically equal AI visibility
That assumption is getting weaker. A page can be indexed and still not be cited often if it lacks clarity, completeness, or trust.
Publishing more AI-generated content and calling it a strategy
Volume isn't the same as usefulness. Google’s own documentation warns against generating many pages without adding value.
Chasing hacks instead of fixing basics
Special files, forced chunking, AI-only rewrites — Google has now said, fairly plainly, that these aren't the point.
What teams should do next
This is the part that matters the most. You know what Google has said and what it advises against, but now it's about putting it into action.
Audit the pages that matter most
Start with the pages you most want to be known for. Core services, core solutions, high-value category pages, and the strongest thought leadership pieces. Do they actually say something useful and distinct? Are they easy to parse? Are they technically sound?
Tighten the structure before you create more
Many teams need to improve the top third of their existing pages before publishing anything new. Sharper intros, clearer subheadings, better internal linking, and less filler. Sounds pretty basic, but its impact is huge.
Reduce overlap
If you have five pages saying roughly the same thing, that's confusion, not authority.
Invest in stronger opinions
Google’s recommendation for unique, non-commodity content should be taken seriously. Safe, generic publishing is becoming easier to ignore now.
Measure beyond the old model
Traffic still matters, but citation visibility is now part of the picture too.
What good looks like
A stronger response to this shift usually includes:
- Fewer generic pages
- Clearer topic ownership across the site
- Stronger answer-first intros
- More original perspective
- Better internal linking
- Cleaner technical hygiene
- More confidence about what content should rank, inform, or convert
Remember, this isn't a separate AI strategy; it's about developing a better overall content strategy.
The useful thing about Google’s update is that it removes excuses, as we don't need a shiny new framework to get to grips with. The focus now is on whether your site is clear enough, trustworthy enough, and useful enough to deserve visibility in a more answer-led search environment.
Ready to see how visible your site really is in AI search?
If this shift is already changing how your team thinks about SEO, content, and discoverability, the next step is to take a closer look at your site.
Our AI Website Audit looks at how your brand appears across AI search environments, where the biggest visibility gaps are, and what to prioritise first across content quality, structure, trust signals, and technical foundations. Get started below.
Frequently asked questions
Is Google saying AEO is now a formal SEO discipline?
Not exactly. Google’s position is that optimising for generative AI search is still SEO. It's treating this as part of the wider search experience, not as a separate practice.
Does this mean I need to rewrite everything for AI?
No. You don't need to rewrite content in a special way for AI systems. What it wants is useful content with strong structure and technical clarity.
Do I need llms.txt or special schema?
Not for Google Search. You don't need special AI-readable files or special schema just to appear in generative AI search features.
Is AI-generated content bad for SEO?
Not automatically. Generative AI can be useful for research and structuring original work. The problem is when it is used to generate lots of pages without adding value.
