SEO
AEO vs. GEO vs. SEO: Google Says It's Still SEO
AEO, GEO and SEO are usually presented as three different approaches to search visibility. Google's 2026 guidance challenges that distinction. For Google Search, optimizing content for AI Overviews and AI Mode is still SEO, and businesses do not need a separate package of AI-specific tactics.
The Update
Google published its guide to optimizing for generative AI features on May 15. It addressed Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) directly, and it said the quiet part out loud: optimizing for generative AI experiences in Google Search is still SEO.
On June 5, Google added the other half. It published guidance on evaluating third-party SEO tools, services, and advice. It was not a new ranking system, a new technical requirement, or a new AI visibility feature. It was a document telling businesses to compare what a vendor recommends against Google's own published documentation, and it names the labels being used to sell those services: AEO and GEO.
The first guide tells website owners what to do. The June guidance tells them how to evaluate the people selling it. Together they make one point: AI search changes how information is retrieved and presented, but it does not create a separate optimization discipline inside Google Search.
The Loophole
AEO and GEO caught on because they gave marketers new language for a real concern. Business owners want to know whether their websites stay visible when Google answers more questions directly through AI Overviews and AI Mode. That worry is reasonable. The problem starts when the new terminology is used to imply a separate Google optimization system, with separate requirements, that you can only access by buying a proprietary package.
Google makes two limits clear. It does not evaluate or approve third-party SEO services, so no vendor can legitimately claim its proprietary AEO process is “Google approved” unless Google said so. And third-party tools do not have access to Google's internal ranking data. Their visibility scores, forecasts, and citation measurements are interpretations, not direct readings of the ranking systems.
That does not make every tool useless. A tool can observe that a business shows up in a sample of AI responses. It cannot prove that adding a particular file, content format, or branded mention is what caused Google to pick that business. The distinction between measurement and inference has to stay visible. This is the same argument the May guide analysis made: the systems are the same, only the acronym is new.
From the Guidance
What Google Says You Can Ignore
An llms.txt File
Google says businesses do not need new AI text files, machine-readable files, Markdown versions, or special markup to appear in generative AI search. Google may crawl different file formats, but crawlability is not a privileged ranking signal. Adding a file is easy, which is exactly what makes it attractive as a packaged deliverable. Technical simplicity is not strategic value.
Tiny Content Chunks
The theory says AI can only read short, self-contained passages. Google rejects that as a requirement. Its systems can interpret multiple topics and pull the relevant passage from a longer page. Organize content with clear headings, lists, and links because it helps people. That is information design, not AI-specific chunking. There is no ideal page length for AI search.
A Page for Every Phrasing
Google's systems understand synonyms and the general meaning behind a search. A Seattle company does not need nearly identical pages for “Seattle web designer,” “web designer in Seattle,” and “website design company Seattle.” Those phrases reveal demand, but they do not justify five pages. That is the line between keyword duplication and semantic SEO.
Manufactured Brand Mentions
Placing a brand name across articles, lists, and forums in the hope that models read repetition as authority does not work. Google warns against inauthentic mentions. Search systems are not counting how many times a name appears. They evaluate the sources, relationships, context, and consistency around it. Earn real reviews and real coverage instead of buying generic ones.
Special AI Schema
Structured data is not required for AI Overviews or AI Mode, and there is no special schema for generative AI search. Schema still helps clarify entities and unlock rich results, but it describes information that already exists. A LocalBusiness entity reinforces your name and services. It cannot repair contradictory location claims across the site.
The Foundation
Semantic SEO gets abused too, usually when it is flattened into another software score or content formula. The useful meaning is plainer: organize a website so the subjects, entities, services, audiences, locations, evidence, and relationships are clear. A well-built service page should help a visitor and a retrieval system answer the same questions, what the service is, who it is for, where it is available, what it costs, who provides it, what proof backs it up, and what to do next.
That structure is what query fan-out rewards. A person starts with one broad question, and Google's AI systems generate related searches to examine the subtopics. A search for a local immigration attorney can expand into visa eligibility, employer sponsorship, processing time, attorney credentials, and consultation options. A search for a Seattle web designer can expand into cost, platform choice, SEO, mobile performance, portfolio quality, and ongoing support.
A site with a single generic page has nothing to offer those related searches. A site with defined services, supporting articles, relevant case studies, accurate business information, and intentional internal linking gives Google more useful relationships to retrieve. That is not a license to publish a page for every fan-out query, Google warns against scaled content built only to capture variations. The goal is enough topical coverage without the duplication. The semantic SEO argument and Google's guidance land in the same place.
The Build
The AI search conversation fixates on writing. Google's guidance keeps pointing back at the website underneath it. To be eligible for links in generative features, a page still has to be crawlable, indexed, and able to show up in Search with a snippet. Google still recommends the same technical practices around JavaScript, duplicate content, page experience, and Search Console. That makes AI visibility partly a build problem, not just a content problem.
Important content cannot hide behind a fragile interaction or a blocked script. JavaScript frameworks are not bad for SEO, but Google admits optimization gets more complex when JavaScript is involved, which is part of why a pre-rendered static site is easier for search systems to read. Internal links should connect services, resources, locations, and conversion pages by their real relationships. A blog should not sit in an isolated archive; relevant articles should support service pages, and case studies should name the services and industries they demonstrate.
Being referenced by an AI response is not the finish line. The visitor still has to understand the page, verify the business, navigate on a phone, and find a next step. A page can be technically eligible for Search and still fail commercially because it is slow, confusing, or disconnected from the question that brought someone there. Meaning has to be supported by usable structure. That is where semantic SEO and real web development meet.
Content
Google keeps coming back to original, non-commodity content. Commodity content restates what is already everywhere. It can be produced without direct experience, original evidence, or a point of view, which is exactly what generative AI now produces faster and cheaper than you can. That makes it less defensible, not more.
The material a business actually owns is harder to copy: first-hand project experience, original photography, documented decisions, local knowledge, client questions, case studies, before-and-after comparisons. A contractor can explain why a specific material was right for a specific job. An attorney can interpret a policy change for a specific audience and cite the controlling sources. A designer can show how research and constraints shaped a brand identity.
None of that can be reproduced without the underlying experience. Google is not telling every business to become a publisher. It is saying that publishing more interchangeable content will not build a durable advantage. The thing only you can write is the thing worth writing.
Before You Pay
What to Ask an AEO or GEO Vendor
The labels are not automatically disqualifying. A competent consultant may use AEO or GEO because clients recognize the terms. The substance matters more than the name. Before buying a separate AI optimization package, ask:
Which recommendations come directly from Google's documentation?
Which are the vendor's own interpretations or experiments?
What evidence connects the proposed change to the expected result?
Does the work improve the site for users and conventional Search, or only satisfy an AI checklist?
Is the vendor promising rankings, citations, or inclusion it cannot control?
Does its reporting separate Google Search data from third-party estimates?
Will the work create duplicate pages, artificial mentions, or scaled content?
Would the recommendation still be worthwhile if the term GEO disappeared next year?
That last question does the most work. Clear site architecture, original content, accurate entities, sound technical development, legitimate reputation, and useful internal links stay valuable no matter what the industry calls the service. A proprietary file or a temporary content hack does not.
The Point
The May guide established that AEO and GEO are not separate optimization systems for Google Search. The June guidance tells businesses to scrutinize the services and tools making claims about those systems. That does not mean AI search changes nothing. Query fan-out reaches into more specific subtopics. AI responses synthesize multiple sources before anyone visits a website. Original evidence gets more valuable as generic content gets easier to mass-produce. Sites may increasingly need to serve agents alongside human visitors.
None of that makes clarity obsolete. It raises the price of not having it. The durable strategy is the unglamorous one: build a website that accurately communicates what the business does, backs its claims with evidence, organizes related information logically, and stays technically accessible. That is not an AEO add-on or a GEO package. It is semantic SEO supported by thoughtful web development.
If the website underneath your search strategy needs that kind of structure, that is the work Green Lake Digital does.
Get Started
Start a Project
Ready to strengthen your digital presence? Let's discuss how I can help.