SEO is search engine optimization. AEO is answer engine optimization. GEO is generative engine optimization.

And depending on who you ask, they are either completely different disciplines, the future of search, or just new names for the same thing we have been doing for years.

The truth is messier than that.

What makes this conversation so complicated is that Google, Microsoft, ChatGPT, Perplexity, Claude, and other AI-driven platforms do not all work the same way. They do not all pull from the same sources in the same way. They do not all display answers the same way. And most importantly, they do not all have the same business model.

That matters.

Because optimizing for Google’s AI Overviews is not necessarily the exact same thing as optimizing to show up in ChatGPT, Perplexity, Claude, or Copilot.

Google’s Guidance Is Helpful, But It Has to Be Read Carefully

Google recently released guidance on optimizing websites for generative AI features in Google Search, including AI Overviews and AI Mode. Google’s main message is that SEO is still relevant because its generative AI features are rooted in Google’s core search ranking and quality systems. Google also explains that AI Overviews and AI Mode can use retrieval-augmented generation and query fan-out to pull from multiple related searches and relevant web pages.

In other words, from Google’s perspective, AI optimization is still search optimization.

That makes sense for Google.

Google’s AI Overviews are part of Google Search. They are tied to Google’s index, Google’s ranking systems, Google’s search experience, and Google’s business model.

But this is where marketers and business owners need to be careful.

When Google says you do not need separate “AEO” or “GEO” tactics for Google Search, they are talking about Google Search. They are not necessarily telling you how every AI answer engine works.

Microsoft’s guidance takes a slightly different angle. Microsoft says traditional SEO fundamentals still matter, including crawlability, metadata, internal linking, and backlinks, but that AI search changes how content is selected. In its words, AI assistants may break content into smaller, structured pieces that are evaluated for authority and relevance. Microsoft emphasizes content that is fresh, authoritative, structured, and semantically clear.

That is not the exact same emphasis.

And that is the point.

Google AI Overviews Are Not ChatGPT

One of the biggest mistakes businesses can make right now is assuming that “AI search” is one thing.

It is not.

Google AI Overviews are still part of a search engine. They show up inside Google’s existing search results. Google has also stated that AI Overview and AI Mode traffic is included in Search Console under the regular “Web” search type, which means site owners do not get a clean, separate breakdown of how much traffic came specifically from AI Overviews or AI Mode.

ChatGPT is different.

OpenAI has said ChatGPT search can provide timely answers with links to web sources, and publishers can track ChatGPT referral traffic in analytics when referral URLs include utm_source=chatgpt.com.   But that still does not give businesses the same kind of search query visibility they are used to from.

So we have a visibility problem.

We do not truly know how many people are using Google versus ChatGPT versus Perplexity versus Claude to search for local products and services. We also do not have full visibility into what those people are asking, what sources influenced the answer, or how often an AI-generated response shaped the final buying decision.

That means any person who claims to have a perfect, universal AI search optimization playbook is probably oversimplifying it.

The Biggest Unknown Is User Behavior

For local businesses especially, the big question is not just how these platforms work.

The bigger question is: where are people actually searching?

Are they still going to Google when they need a dentist, roofer, preschool, real estate agent, med spa, HVAC company, attorney, or restaurant?

Yes, many are.

Are some people starting to ask ChatGPT or Perplexity for recommendations instead?

Also yes.

But we do not yet have a complete picture of how much buying behavior is shifting, especially in local service-based searches. And because both Google and AI platforms limit the data businesses can see, we are making decisions with partial information.

That is why the answer cannot be “only optimize for SEO.”

But it also cannot be “SEO is dead, only optimize for AI.”

The answer is that businesses need to optimize for both.

More importantly, they need to optimize for the actual person trying to make a decision.

The Acronyms Matter Less Than the Buyer

SEO, AEO, and GEO all have slightly different meanings, but they are all trying to solve a similar problem:

How do we make sure a business shows up when someone is looking for an answer, a recommendation, a product, or a service?

The tactics may vary by platform, but the foundation is the same.

A business needs to be easy to find, easy to understand, easy to trust, and easy to choose.

That means your website and digital presence should clearly answer questions like:

• What do you do?
• Whmo do you help?
• Where do you serve?
• What problems do you solve?
• What makes you different?
• Why should someone trust you?
• What proof do you have?
• What questions does your buyer ask before they contact you?
• What objections or concerns do they need answered?
• What should they do next?

This is where SEO, AEO, and GEO start to overlap.

Because whether someone finds you through a traditional Google result, a Google AI Overview, ChatGPT, Perplexity, Claude, Copilot, or another AI-powered tool, the content still has to be useful.

It still has to be clear.

It still has to show expertise.

And it still has to help a human make a decision.

Google Is Right About Non-Commodity Content

One of the strongest parts of Google’s recent guidance is its focus on non-commodity content.

Google specifically warns against simply recycling what others have already said or creating content that could easily be produced by a generative AI model. Instead, Google recommends content with a unique point of view, first-hand experience, expert insight, strong organization, and helpful information written for humans.

That is important.

Because this is where many businesses and marketers are going to get AI content wrong.

If every company is using AI to write the same basic blog post, then nobody is creating anything truly useful.

A generic article like “7 Tips for Choosing a Dentist” or “How to Pick the Right Contractor” may technically be content, but it usually does not say anything unique. It does not explain how that business thinks. It does not show real experience. It does not answer the deeper questions customers are actually asking.

The businesses that win in AI search will not be the ones producing the most content.

They will be the ones producing the most helpful, specific, trustworthy content.

That means content should include real examples, expert perspective, customer questions, local context, first-hand experience, comparisons, process explanations, photos, videos, and proof.

In other words, content needs to sound less like the internet and more like the business.

So What Should Businesses Actually Do?

The practical answer is not to chase every new acronym.

The practical answer is to build a stronger digital footprint that works across search engines, AI answer engines, and human decision-making.

That includes:

1. Keep doing foundational SEO.
Your website still needs to be crawlable, technically sound, well-structured, and indexable. Google has made it clear that its AI features still rely on core Search systems and publicly accessible, crawlable content.

2. Create content based on real expertise.
Do not publish generic content just to have more pages. Interview your team. Interview your clients. Use real questions from sales calls, consultations, intake forms, and customer conversations. Add the perspective only your business can provide.

3. Build topical authority.
One blog post is not enough. Your website should fully explain your services, industries, locations, process, pricing considerations, FAQs, comparisons, and buyer concerns.

4. Make your local signals clear.
For local businesses, Google specifically points to tools like Google Business Profile and Merchant Center as ways to help products and services appear in Search and AI responses.   Your location, service areas, reviews, business categories, photos, and local relevance still matter.

5. Structure content for humans and machines.
Use clear headings, concise answers, helpful sections, FAQs, schema where appropriate, strong internal linking, and pages that are easy to navigate. Do not structure content only for AI. Structure it so a real person can quickly understand it.

6. Strengthen third-party trust signals.
Reviews, media mentions, partner pages, directory listings, podcast appearances, social content, videos, and community involvement all help reinforce who you are and why you are credible.

7. Stop separating “optimization” from “helpfulness.”
The best optimization strategy is not just technical. It is understanding what someone needs to know before they trust you enough to take action.

The Real Strategy: Optimize for the Decision

The SEO versus AEO versus GEO debate is not going away anytime soon.

But businesses do not need to get stuck in the terminology.

The better question is this:

Are we creating the most helpful, trustworthy, complete answer for the person who is trying to make a decision?

If the answer is yes, you are building the kind of content that can work across traditional search, AI search, and your actual website experience.

If the answer is no, then changing the acronym will not fix the problem.

Google may reward certain signals. ChatGPT may pull from different sources. Perplexity may cite different pages. Claude may answer in another way. Consumer behavior will continue to shift.

But the businesses that keep showing up will likely be the ones that make their expertise clear, their information useful, and their value easy to understand.

So yes, optimize for SEO.

Yes, pay attention to AEO and GEO.

But do not forget the real goal.

Optimize for the human being behind the search.