Remember when “mobile-first indexing” was going to turn the search world on its head? We braced for a complete overhaul, learned new rules, and adapted. Turns out, it was more of an evolution than a revolution for many of us building for the web. Now, we’re seeing a similar vibe from Google with their 2026 AI Search Guide. Many thought Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) would be entirely new beasts. But the message from Google is clear: it’s still SEO, with only minor differences.
The More Things Change…
As a bot builder, I’m constantly looking at how information is structured and retrieved. The idea of “optimizing for AI” naturally brings up thoughts of specialized formats or entirely new algorithms to master. Early discussions around AEO and GEO suggested that we might need to invent entirely new disciplines to get our content seen by large language models (LLMs) and AI-powered search engines. Some even called GEO the most important new concept in digital marketing right now.
Google’s guide, however, pumps the brakes on that idea. It states that AEO and GEO remain part of the broader SEO space. This isn’t an entirely new discipline, which honestly, is good news for anyone already deep in the trenches of website optimization. It suggests that the core principles we’ve honed over years of working with search engines still apply.
What Stays the Same (Mostly)
If you’ve been optimizing content for search, you’re likely already doing much of what’s needed for AI-assisted searches. The guide indicates that tactics like ignoring llms.txt, chunking your content into smaller segments, and applying special schema aren’t the primary focus for AI search visibility. This is an important distinction. For a while, there was chatter about needing to create specific llms.txt files, much like a robots.txt, to guide AI. Google is saying that’s not the path.
Similarly, the concept of “chunking” content has been discussed as a way to prepare text for LLMs. While breaking down complex information into digestible parts is good practice for human readers and general SEO, Google’s guide suggests it’s not a special, AI-specific tactic you need to prioritize above established SEO practices.
And then there’s special schema. Structured data is incredibly useful for search engines to understand context, and I use it often when designing bots to extract specific information. However, the guide implies that chasing “special” AI-focused schema isn’t the key. Instead, our existing understanding and implementation of schema for SEO purposes will likely continue to serve us well.
What This Means for Bot Builders and Content Creators
For those of us building smart bots and creating content, this guidance from Google is valuable. It reinforces the idea that clarity, good structure, and well-organized information are paramount, regardless of whether a human or an AI is consuming it. If SEO remains the primary focus, then the fundamentals of producing high-quality, relevant, and authoritative content are still your best bet.
Consider AI-assisted searches often involve longer, more specific queries. Edward Sturm mentions that filtering for Google searches with seven or more words is very common for AI-assisted queries. This aligns with the idea that AI users are often looking for precise answers, not just broad topics. Good SEO, by its nature, aims to provide direct, well-sourced answers to user questions.
My advice, based on this new guidance, is to keep building and optimizing with solid SEO principles in mind. Don’t get distracted by what appear to be new, AI-specific optimization tactics if Google itself says they aren’t the primary drivers. Focus on creating content that is:
- Accurate and factual
- Well-organized and easy to navigate
- Relevant to user queries
- Optimized with standard, effective SEO practices
The differences between AEO, GEO, and traditional SEO are slight. The core goal remains the same: connect users (and now, AI) with the best possible information. And for that, solid SEO is still king.
đź•’ Published: