AI Overview has created a lot of noise in the SEO world. Many marketers are wondering if they now need a completely new playbook to stay visible.
You might have heard terms like GEO or LLMO, or seen people talk about new files such as llms.txt as if they were mandatory. In practice, Google’s own AI optimization guidance points in a different direction. The company keeps telling site owners to avoid unproven tricks and to focus on the same fundamentals that already work for Search.
If you need a starting point for AI Overview, this is it. There is no special cheat code. The systems that rank and retrieve pages for organic results still decide what gets pulled into AI answers.
What Google Actually Said About AI Overview?
This is where Google’s own comments matter most. Instead of guessing from screenshots, we can look at what their search team has already said in public.
Google Search Analyst Gary Illyes covered AI Overview at a recent Search Central Deep Dive event in Asia Pacific. His main point was that if you want your content in AI Overview, you should keep using standard SEO practices rather than inventing a separate AI-only strategy.
Then, Kenichi Suzuki repeated the same message online on his LinkedIn post. There is no requirement for GEO, LLMO, or a new technical layer just to be considered as a source. If your content already has a shot at ranking in organic results, it also has a shot at being retrieved for AI Overview.
Google Is Not Using LLMs.txt
A lot of the speculation has centered on llms.txt. On paper, it looks like a neat way to guide AI systems through your site, which is why it has gained so much attention in blog posts and conference talks.
Google’s position is much simpler. Illyes has made it clear that Google does not support llms.txt and is not planning to integrate it into its search systems. In other words, AI Overview does not read or rely on this file today.
That means you can treat llms.txt as optional extra metadata, not a requirement. If you have been worrying that skipping it will lock you out of AI search, you can safely park that concern for now.
Other AI Search Engines May Behave Differently
While Google has taken a clear stance, not every AI platform works the same way. Logs from some SEO practitioners show that other crawlers do request llms.txt and revisit it quite often on certain sites.
This matters because it explains part of the confusion. Some tools and models are experimenting with new signals, while Google is keeping AI Overview much closer to its existing search infrastructure.
Google’s John Mueller has also pointed out that there is no widespread, production-grade use of llms.txt across AI systems yet. The situation could evolve, but for now, it remains a proposal rather than a standard.
Read also: Google's New Guide for Optimizing Generative AI Search
Why Old-School SEO Still Drives AI Answers
AI Overview looks new in the interface, but under the hood, it leans heavily on the same building blocks as search. Understanding that relationship is more useful than inventing “AI SEO” from scratch.
The key idea is that AI Overview is a generative layer on top of retrieval, not a replacement for it. The model still needs high-quality, indexed pages to draw from before it can produce an answer.
1. Google Still Uses Retrieval-Augmented Generation
In the AI optimization guide, Google describes its AI systems using concepts such as retrieval-augmented generation. In this setup, the AI first retrieves a set of relevant pages from the existing index, then uses them as context to generate a response.
That retrieval step still goes through the normal ranking stack. If your site has crawl issues, slow performance, or weak on-page structure, your pages are less likely to be retrieved in the first place.
Google also uses a process often referred to as query fan out. One user question can be broken down into multiple related sub-queries that explore different angles and entities before the AI writes its answer.
In practice, you are not just optimizing for one exact query. You are trying to become a strong candidate for a cluster of questions the system might generate about your topic.
2. E‑E‑A‑T And Original Content Still Matter
On the content side, Google keeps returning to the same framework. Pages that show clear experience, expertise, authoritativeness, and trustworthiness are more likely to perform well in both classic search and AI features.
This shifts the bar away from thin rewrites and generic summaries. Content that offers genuine insight, real-world examples, data, or expert commentary is a better source for quoting or synthesizing.
The result is that human-written, original pieces with strong sourcing tend to be more resilient. They are harder for models to replace and more attractive as grounding material for AI answers.
What Website Owners Should Actually Do
For most owners, especially those in smaller businesses, the good news is that you probably do not need a radical change in strategy. The same fundamentals you have been working on still matter, just under tighter scrutiny.
If you already invest in technical SEO, content quality, and building authority, you are working on the same levers that influence AI Overview. The next step is to tighten execution and remove avoidable gaps.
Here is a practical checklist to focus on:
- Make your site easy to crawl and index by using clear internal links and avoiding major blocking rules.
- Improve page experience on mobile and desktop, including speed, layout stability, and basic usability.
- Structure content clearly with descriptive headings, concise summaries, and direct answers to common questions.
- Strengthen E‑E‑A‑T with author bios, transparent sourcing, and evidence of real expertise or first-hand experience.
None of these tasks are new, but AI surfaces make them more visible. When an answer blends several sources, weaker content has a lower chance of being selected.
Read also: Google Releases Spam Update June 2026: What Should You Do?
How To Think About AI Optimization Going Forward
The most reliable way to “optimize for AI” inside Google is to think of it as advanced search, not a separate channel. If you get the basics right, AI Overview becomes an extra distribution layer for the work you are already doing.
Your real goals are straightforward. Get crawled and indexed cleanly, win rankings for the queries that actually trigger AI Overview in your niche, and build enough authority that your pages are worth retrieving.
From there, you can iterate. Track where your pages are cited in AI results, look for patterns in structure and depth, and fold what you learn back into your content playbook.
The safest path has not changed. Keep applying proven SEO practices, then use AI Overview as another signal for what “helpful and trustworthy” looks like in your space.
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