For two years, "answer engine optimization" was practiced in the dark. Vendors sold theories. Nobody could check them.
On May 15, 2026, Google published a resource for optimizing for generative AI in Google Search, written for "website owners, SEOs, and developers." It is now the closest thing the field has to a primary source.
What the guide covers#
Per Google's announcement, the new guide includes:
- Guidance on providing valuable, unique, non-commodity content
- Tips on local, shopping, image, and video content
- Mythbusting common "AEO/GEO" misconceptions
- Initial guidance related to AI agents, described as "a quickly emerging and evolving space"
- Confirmation that SEO best practices remain relevant and foundational to success with generative AI features
That fourth bullet is the one to watch. Google is signaling that agentic access — machines acting on behalf of buyers — is a live surface, and that its own guidance there is early rather than settled.
The correction nobody wants to hear#
The single most important phrase in Google's summary is non-commodity content.
The dominant AEO tactic of 2024 and 2025 was volume: generate hundreds of question-shaped pages, wrap them in FAQ markup, hope a model picks one up. Google's guidance points the other direction. Commodity content — text that restates what a model already knows — has no reason to be cited. A model does not need your paraphrase of a public fact.
"Non-commodity means you know something the model can't infer — your pricing, your outcomes, your service reality. That's not a content strategy problem, it's whether your company writes down what it actually knows."
Andrew Bethel — COO, Perfectus Labs
What earns citation is information that exists nowhere else: your pricing, your process, your service area, your data, your results, your firsthand experience of the work. That is the same E-E-A-T logic Google has argued for years, now applied to a surface where the penalty for being generic is not a lower rank but total omission.
What this validates#
If you have been doing the boring version of this work, the guide is good news:
- SEO fundamentals still compound. Crawlability, structure, speed, and clean information architecture remain prerequisites, not legacy.
- Local, shopping, image and video content is explicitly in scope. Answer surfaces are multimodal; text-only strategies leave coverage on the table.
- There is now a citable standard. You can settle internal arguments with a link instead of an opinion.
What this kills#
- Buying "GEO scores" from tools that cannot see inside Google's systems
- Mass-produced question pages with no proprietary substance
- Any pitch that positions AEO as separate from, or a replacement for, SEO
How we read it at Perfectus Labs#
We built Cognos on a thesis this guide supports: the winner of an AI answer is the source that is easiest to verify and hardest to replace. So the work is not "write more." It is:
- Make your unique facts machine-legible — prices, coverage, credentials, outcomes, named humans.
- Make them consistent everywhere a model can check them.
- Make the page that holds them faster and cleaner than any competitor's equivalent.
- Measure inclusion, not vanity rankings.
Read the guide yourself. Then ask a harder question about every page you own: if a model deleted this page, would the internet lose anything? If the answer is no, that page will never be cited, and no amount of markup will change it.
Source: Google Search Central, May 15 2026, posted by John Mueller.
