The Google GEO Guide Is Out. Let’s Separate the Signal from the Noise.
TL;DR: The Google GEO guide was released in May 2026. It’s useful, but also incomplete. Here’s what they got right, what they left out, and why the hot takes flooding your feed are missing the point.
Google dropped its GEO guide this week, and my LinkedIn feed has been… a lot.
“The GEO bros are awfully silent on this!” “If you spent $5k on an AI search audit, you wasted your money. The SEOs will be here to fix your mess.”
I’ve been sharing my thoughts on this announcement since it hit the airwaves, even recording a quick Found in AI episode on it. And I’ve got to dig into the noise, because some of it is pretty rotten. #sorrynotsorry
What Google Actually Released
Google published “Google’s Guide to Optimizing for Generative AI Features on Google Search.” It covers the expected bases: why SEO is still relevant for AI search, how to apply foundational best practices, technical structure, and why local and e-commerce optimization matters (Google keeps repeating that AI agents are the future. Agentic commerce is almost here).
They also broke down a few common “GEO myths” (I put this in quotes because some of this is iffy, I won’t even lie):
- LLMs.txt files — always experimental, and could still be relevant for other engines
- Chunking content — Google says it’s not required, but these engines have a short context window, so err on the side of caution and use the BLUF strategy. We know that works.
- Rewriting content just for AI systems — okay, sure, but this assumes content strategists are already following best practices
- Seeking inauthentic mentions — Google is admitting AI search uses the open web to verify claims; they’re just not saying it out loud, and are instead telling you that spamming Reddit is a bad idea (which, yes)
- Overfocusing on structured data — not required for AI search, but still a smart part of your overall SEO strategy. No further commentary from me.
“It’s Been SEO the Whole Time!” — Let’s Talk About That
There’s a line in the guide that says, “The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.”
A silly number of SEOs have taken that and declared victory. “SEE! It’s been SEO the whole time!”
Here’s the thing: anyone who has been taking AI search experimentation seriously has always said SEO is a major part of this. It just isn’t the whole story.
Off-page strategies — showing up authentically on Reddit, being mentioned in news articles, sending press releases, and guest appearances on podcasts — also increase AI visibility and add another layer to how these engines understand your brand.
The Part Google Didn’t Say Out Loud
These AI engines are verification machines. They look to the open web to see what others say about a brand before recommending it. So when you appear on third-party channels, you’re doing the GEO/AEO work that Google glossed over in this guide.
They did covertly acknowledge it, though—in their separate guide for searchers about how AI search is changing, which I covered recently in the Found in AI: LinkedIn Edition newsletter.
The TL;DR:
- Google surfaces “what to explore next” at the end of AI answers
- Google highlights links from news subscriptions to support claims in a response
- Google pulls firsthand perspectives from Reddit and public discussions
- Google is putting more links inside AI-generated answers
- Hovering over a link now gives an inline preview of the site
That’s the GEO playbook they conveniently left out of the GEO guide.
Why This Guide Feels Incomplete (And Why That’s Not Surprising)
For anyone who has been seriously experimenting with AI search optimization, as of May 2026, this guide is useful—and incomplete. It’s genuinely helpful to confirm they’re using RAG and query fan-out. We don’t have to guess about that anymore. But I can’t treat it as the definitive GEO guide for two reasons:
- From Google’s perspective, search is search, whether that’s traditional or AI-assisted. Calling it all “SEO” and sidestepping other terms is completely on brand for them.
- Microsoft released an AEO guide earlier this year that says almost the opposite. That’s a useful reminder that AI Overviews and AI Mode aren’t the only engines that matter. ChatGPT, Claude, Perplexity, Copilot — they’re all in play, and they don’t all run on Google.
The Google GEO guide added more noise to an already chaotic conversation. The best SEOs and GEOs will take the documentation at face value, test it, and fill in the gaps themselves. Google is not releasing trade secrets. That’s our job.
Keep testing. Keep experimenting. And for the love of all things pretty, keep your SEO strategy and don’t try to game the system.
If we haven’t met yet….
Hi, I’m Cassie, a fractional content strategist for startups and enterprise brands who focuses on AI search optimization.
If AI-generated answers are already influencing your buyers, your content strategy needs to account for that. I build content programs that connect strategy with execution: clear positioning, systems, and content that actually drive revenue. If you’re ready to stop guessing and start growing, here’s how we can work together.
Want more insights like this? Subscribe to The Visibility Report, where I break down how AI engines interpret authority — and how you can show up in the results.
What is Google’s GEO guide?
Google’s GEO guide, officially titled “Google’s Guide to Optimizing for Generative AI Features on Google Search,” is Google’s first published resource explaining how to optimize content for their AI-powered search features, including AI Overviews and AI Mode. It covers foundational SEO best practices as they apply to AI search, technical structure, and debunks several common GEO myths.
Is GEO the same as SEO?
Not exactly. SEO helps you get indexed by search engines. GEO (Generative Engine Optimization) helps you get chosen and cited by AI-powered answer engines. While there’s significant overlap — good SEO is foundational to GEO — AI engines also weigh off-page signals like third-party mentions, entity authority, and cross-platform presence that traditional SEO doesn’t fully account for.
Does the Google GEO guide replace other AI search optimization strategies?
No. Google’s guide covers Google’s AI features specifically — AI Overviews and AI Mode. It doesn’t account for ChatGPT, Perplexity, Claude, Copilot, or other engines that millions of people use daily. A complete AI search strategy needs to account for all of these, not just Google.
Should I rewrite my content for AI search after reading the Google GEO guide?
Not necessarily. The Google guide itself says rewriting content just for AI systems isn’t recommended. Instead, focus on making existing content clearer, better structured, and more authoritative. The FSA Framework — Freshness, Structure, Authority — gives you a practical system for doing this without blowing up what’s already working.
Do off-page strategies like Reddit and press mentions actually help with AI search visibility?
Yes — and Google’s own guide hints at this, even if they don’t say it directly. AI engines use the open web to verify brand claims before recommending them. Third-party mentions, podcast appearances, digital PR, and authentic Reddit participation all contribute to the entity authority that AI engines use to decide whether your brand is credible enough to cite.
What is the FSA Framework and how does it relate to GEO?
The FSA Framework (Freshness, Structure, Authority) is a system developed by Cassie Clark for optimizing content for AI search engines. It explains why LLMs cite certain brands and ignore others, and gives marketers a repeatable process for increasing AI search visibility across multiple engines — not just Google.
