For the past 18 months, the digital marketing industry has been flooded with new acronyms.
GEO. AEO. LLMO. AI SEO.
Almost all our clients are panicking and asking us “are you doing everything that needs to be done for GEO and AEO?”
Agencies have launched new service lines, traditional SEO offerings have changed and digital agencies have new pages on their website saying “AI SEO”. Consultants have promised proprietary frameworks. Entire conferences have emerged around “optimizing for AI, practically everyday I get a new email that promises to be a game-changing webinar for mastering AEO and GEO.”
Then Google quietly released something that may reshape the conversation entirely.
In May 2026, Google published its first dedicated guidance on optimizing websites for generative AI features such as AI Overviews and AI Mode. Buried within that documentation was perhaps the clearest statement Google has made so far about GEO and AEO:
From Google’s perspective, optimizing for generative AI search is still SEO. Read the guidelines here – https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
This is something that we have been saying since a long time, core principals of SEO still hold true, nothing has changed their, if your website is SEO compliant then it’s AI SEO compliant as well, mainly what’s changed is the way you write, it needs to be simple, baby style so that it can be understood by the AI engines. While traditional search engines became smart, AI engines are still young and they need simple language to reach the smart level.
Google Says GEO and AEO Are Not Separate Disciplines
Google’s new AI optimization guide directly addresses the growing popularity of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
According to Google’s documentation, both terms describe efforts to improve visibility within AI-powered search experiences. However, Google explicitly states that these activities remain part of traditional search optimization rather than separate disciplines.
This matters because much of the industry narrative has suggested that AI search requires entirely new strategies.
Google disagrees.
The company argues that the same foundational signals that have historically helped content succeed in Search remain critical for AI-generated answers:
- High-quality content
- Strong technical SEO
- Crawlability
- Indexability
- Authority and trust
- User-focused experiences
In other words, Google is telling marketers that AI visibility is built on SEO fundamentals, if anything, it’s a downgraded version of traditional SEO.
The Data Suggests Google May Be Right
Independent research is increasingly showing that AI search systems are not selecting sources randomly.
A large-scale academic study examining more than 55,000 queries found that domains cited within Google AI Overviews were generally higher quality than the average search result. Researchers also found that nearly 30% of cited sources did not appear among traditional first-page rankings, suggesting that AI systems evaluate content using additional signals beyond classic rankings.
The takeaway?
AI search is not replacing SEO. It is expanding the criteria used to determine which content deserves visibility.
The Biggest GEO Myth Google Just Debunked
One of the most important sections of Google’s new guidance addresses common GEO tactics currently circulating online.
Google specifically pushed back against several popular recommendations, including:
- Creating separate AI-only pages
- Excessive content chunking solely for LLMs
- Deploying special schema solely for AI visibility
- Treating llms.txt as a ranking factor
- Building content primarily for AI systems rather than users
Google’s position is simple: if a tactic doesn’t improve the user experience, it is unlikely to provide sustainable value.
For many organizations investing heavily in AI-specific optimization checklists, this should trigger a serious reassessment.
What AI Search Actually Rewards
If GEO isn’t about technical tricks, what influences AI visibility?
Google’s guidance repeatedly emphasizes content that is:
Unique
Commodity content is increasingly vulnerable. When dozens of websites publish nearly identical articles, AI systems have little reason to choose one source over another. Imagine when 100 sites claim to share top 10 digital marketing trends, it will be challenging to pick one site to rank above the rest.
Google specifically highlights the importance of providing unique value and original information which it has always done even with traditional SEO.
Evidence-Based
AI systems prefer content that contains:
- Statistics
- Research
- Expert insights
- First-party data
- Original findings
This is one reason original studies continue to outperform generic content in AI-generated citations.
Structured and Clear
AI models must be able to understand content quickly.
Content that clearly answers questions, defines concepts, compares options, and provides step-by-step guidance is easier for generative systems to interpret and cite.
Research into citation behavior across AI platforms found that highly structured content consistently showed greater influence within generated responses. This doesn’t mean that you need to redo the whole content, just try and restructure it better so that it actually answers a real problem than fluff.
The New Metric Marketers Should Be Tracking for AI success
Historically, SEO success was measured by rankings. Then everyone started to shift towards clicks. With AI search, now we have zero-click visibility.
Google AI Overviews now appear for a meaningful percentage of searches, especially question-based queries. One recent study found AI Overview activation rates approaching 65% for question-oriented searches.
As AI-generated answers expand, marketers need to monitor:
- Brand mentions
- Citation frequency
- Source inclusion
- AI visibility share
- Branded search demand
There are tools that are learning to show this data, like SEMrush shows SOV% (share of voice), however, it’s not clear what that is and how reliable it is. Point to note is that the organizations that win may not always be the ones receiving the most traffic.
They may be the ones becoming the source behind the answer.
Why Google’s Warning About AI Manipulation Matters
Perhaps the most overlooked development happened shortly after Google’s AI optimization guidance.
Google updated its spam policies to explicitly target attempts to manipulate AI-generated answers and recommendations. Tactics commonly described as recommendation poisoning can now be treated as spam violations.
Google is drawing a line between:
- Optimizing content for AI understanding
- Manipulating AI outputs
The first is encouraged but the second may carry penalties.
For marketers, this reinforces a familiar lesson: sustainable visibility comes from creating better content, not exploiting loopholes and spamming the Internet with tons and tons of spinned content and hoping to get it ranked higher because you included 2 keywords more than the other authority site.
The Future of SEO Isn’t GEO. It’s Better SEO.
The industry has spent the last year debating whether GEO will replace SEO.
Google’s answer is simple – it won’t.
What is changing is how search engines evaluate authority, usefulness, and trustworthiness in an AI-driven environment.
The winners will be websites producing:
- Original research
- Unique expertise
- Verifiable information
- Strong brand authority
- Content that genuinely helps users
Google’s new guidance isn’t a rejection of GEO or AEO.
It’s a reminder that AI search still depends on the same thing search has always depended on:
Being the best source of information available. The core principle of SEO still hasn’t changed and if you stick to it, be it AEO, GEO or some new acronym that comes a few years later, you would still be able to nail it.