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Google: AEO and GEO Are SEO, Not a Separate Discipline for AI Search

Google's guidance says optimizing for AI Overviews and AI Mode is still SEO, built on content quality, crawlability and Search Console reporting rather than AI-only tactics.

Google: AEO and GEO Are SEO, Not a Separate Discipline for AI Search

Google's position

Google has weighed in on the debate over whether answer engine optimization (AEO) and generative engine optimization (GEO) are new disciplines distinct from traditional SEO. According to a post on dev.to covering the company's official guidance, the answer is no: when the goal is visibility in Google Search's generative AI experiences, AEO and GEO are simply SEO.

Google reportedly recognizes AEO and GEO as industry terms, but its own framing is simpler. The established practices that make a website useful and discoverable are the same practices that govern how content appears in AI Overviews and AI Mode, both of which sit inside Google Search and are supported by the company's Gemini and AI systems.

What the guidance asks for

The dev.to write-up distills Google's guide into several connected requirements:

  • Produce content that offers real value rather than commodity material.
  • Keep a clear technical structure so pages are easy for Google to parse.
  • Leave important pages crawlable and indexable.
  • Accept that Google's retrieval and ranking systems decide which information can support AI-generated responses.
  • Use the Generative AI performance reporting in Search Console to assess visibility in the relevant AI features.

The underlying message is that AI visibility is not a separate ranking channel. Google is folding AI experiences into Search, so the work that made a site competitive in conventional results remains the work that makes it eligible for AI-driven answers.

What actually changes

Per the article, the meaningful change is organizational rather than technical. Teams that treated traditional rankings, AI citations and answer-focused content as unrelated projects were duplicating effort and losing sight of shared foundations: useful information, accessible pages and overall site quality.

One caution stands out. Rewriting a page in question-and-answer format does not, by itself, make it valuable to AI features. Clear answers help readers, but the guide's emphasis is on substantive content and technical accessibility. Short generic answers and heavily templated pages are not a substitute for original expertise.

Measurement follows the same logic. Search Console's Generative AI performance reporting should inform analysis alongside broader search data, not become a report teams optimize toward in isolation. Changes in visibility need to be read against page purpose, audience needs and conversion outcomes.

The cross-platform caveat

Industry conversation around AEO and GEO often extends to Reddit, YouTube and LinkedIn, on the theory that audiences encounter a brand's expertise across many channels. The dev.to piece draws a careful line here. Google's guide covers websites and Google's own AI search features only; it does not prescribe cross-platform content governance or require a formal strategy spanning social platforms.

That does not make consistency useless. Conflicting product details or outdated explanations across channels confuse customers and create rework for content teams. But the article distinguishes between a sound editorial practice and an officially documented Google directive. The latter exists for SEO fundamentals, not for a cross-platform playbook.

Why it matters

For anyone optimizing a site, this clarification collapses what had become two budget lines into one. There is no separate AEO program to build. The priority is making a site's best information eligible to be found across all of Google's search surfaces, conventional and generative alike.

It also serves as a filter for the growing market of AI-search optimization services. Tactics pitched as AI-specific — answer formatting, dedicated silos, detached reporting — run against Google's stated guidance if they are not built on crawlability, structure and genuinely valuable content. A well-maintained library of original, technically accessible pages can serve traditional results and AI features at the same time, which is exactly the outcome Google says it rewards.

  • #seo
  • #google-search
  • #ai-overviews
  • #generative-ai
  • #search-console

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