What Is SEO?

Search engine optimization, or SEO, is the practice of improving a website so search engines can discover, understand, and surface its content for relevant searches.

That covers considerably more than keywords.

A proper SEO strategy can involve:

• Crawlability
• Indexing
• Website architecture
• Internal linking
• Page experience
• Content quality
• Search intent
• Structured data
• Relevance
• Authority and reputation
• Technical performance
• Local business information
• Image and video optimization

Google's own SEO documentation describes SEO as helping search engines understand your content and helping users find your site through search. It also emphasizes useful content, crawlable links, clear page structure, and content created for people rather than search engines. Google for Developers

In other words, SEO is fundamentally about making information discoverable and understandable within search systems.

That foundation still matters even when the search interface changes.

So What Is GEO?

GEO stands for Generative Engine Optimization.

The term is used to describe efforts aimed at improving a website, brand, or organization's visibility within generative search experiences.

Instead of only asking:

"Can my page rank for this query?"

the question becomes broader:

"Can an AI-powered search system find, understand, trust, and use the information about my business when answering this question?"

That's an important distinction.

A traditional search result might look like:

Query → Search results → Website

A generative search experience can look more like:

Question → Related searches → Retrieved sources → Synthesized answer → Source links

Google describes a technique called query fan-out, where its systems can generate multiple related searches to gather information needed to answer a user's original question. Its generative search systems can then use information retrieved from the web to construct an answer and provide links to supporting pages. Google for Developers

That changes the information problem.

Where SEO and GEO Overlap

This is where some of the GEO conversation becomes unnecessarily complicated.

A large portion of what makes a website useful for AI-powered search is already good SEO.

For example:

If search systems cannot access your content, they cannot reliably use it.

Search engines need to understand the relationship between pages, topics, products, services, and entities.

Links help both users and search engines discover related information.

A page that actually answers a question is more useful than a page written primarily to capture a keyword.

If your business does three things, it should be obvious what those three things are.

Slow, broken, inaccessible, or poorly structured websites create problems regardless of whether the visitor is a person, a search engine, or an AI-powered interface.

Google's current generative AI guidance makes this connection explicit. It recommends continuing to apply foundational SEO practices while creating unique, useful, people-first content. Google for Developers

So if someone tells you that you need to throw away your SEO strategy and start over because "GEO is here," be skeptical.

You probably don't.

Where GEO Starts to Feel Different

The differences become more interesting once we look at how answers are produced.

Traditional search is heavily associated with ranking pages against a query.

Generative search can involve retrieving information from several sources and synthesizing it into a response.

That means your website may be competing not only for a position in a list of results, but for inclusion as a source within an answer.

Consider this question:

"What should a Philippine SME look for before hiring a digital marketing agency?"

A traditional SEO strategy might target that query with an article.

A generative search system could approach the question through several related information needs:

• What services do digital marketing agencies provide?
• How much does digital marketing cost?
• What should SMEs measure?
• How do you evaluate an agency?
• What makes an agency credible?

Google calls this kind of related-query expansion query fan-out.

That makes topical depth and contextual relationships increasingly important.

Your article doesn't exist in isolation.

It sits inside a larger information system.

This Is Where Entities Matter

Imagine an AI system encounters these two websites.

Fenix Media provides digital marketing services.

That's useful, but vague.

Fenix Media is a digital strategy and engineering company offering performance marketing, managed web platforms, generative and advanced search, social media marketing, custom digital operations, and AI automation.

The second description gives a system much more context.

It establishes:

• Who the organization is
• What it does
• What areas it operates in
• How those services relate to one another

This is part of what we mean when we talk about entity clarity.

The goal isn't to stuff a page with entity-related keywords.

It's to make the underlying information about the organization clear and consistent.

What About AI Citations?

This is one of the biggest reasons GEO has become a popular topic.

AI search systems can provide links to sources.

ChatGPT Search, for example, is designed to provide answers with links to relevant web sources, and its current documentation explains that websites need to allow OAI-Searchbot to crawl them to be eligible for inclusion. OpenAI also notes that search placement is not guaranteed.

That creates a new question for publishers:

What makes a page useful enough to be selected as a source?

There isn't a universal formula.

And anyone claiming that they have a guaranteed "citation recipe" should be treated cautiously.

For Google specifically, its current guidance emphasizes useful, reliable, non-commodity content and warns against tactics such as creating large numbers of pages for every possible query variation purely to manipulate AI results.

The more useful approach is much less mysterious:

Give search systems something worth retrieving.

That means original information, clear explanations, genuine expertise, useful examples, and information that isn't simply a rewritten version of everything else already available.

What GEO Is Not

This is probably the section the industry needs most.

Google's systems can understand relationships and meaning beyond exact keyword matches. You don't need to write an awkward paragraph containing every imaginable variation of a search query.

There is no Google requirement to break content into tiny chunks for AI.

Google specifically says there is no ideal page length or requirement to "chunk" content for generative AI.

This one deserves special attention.

Google's current documentation says llms.txt and similar AI-specific files are not required for Google Search and do not affect Google Search visibility or rankings. Google says they can be maintained for other services that use them, but Google Search itself does not use them.

That doesn't mean other AI systems will never use such files.

It means we shouldn't present them as a magic Google optimization technique.

Structured data is still useful for SEO when appropriate, but Google says there is no special schema.org markup required specifically for generative AI search.

More pages do not automatically mean more visibility.

Google explicitly warns against producing large quantities of content around query variations simply to manipulate search or generative responses.

That is also why Fenix Media's content strategy is intentionally built around fewer, stronger articles.

So What Should Businesses Actually Do?

The practical answer is surprisingly familiar.

Search visibility starts with access.

Your important pages need to be discoverable and crawlable.

That includes checking:

• Robots directives
• Indexability
• Internal links
• Canonicals
• JavaScript rendering
• Site architecture
• Technical errors

Google's current AI-search guidance still puts crawlability and technical accessibility at the foundation.

Don't make people or machines figure it out.

Your website should clearly communicate:

• Who you are
• What you offer
• Who you serve
• Where you operate
• What problems you solve
• Why your organization is relevant

This sounds basic.

A surprising number of business websites make it unnecessarily difficult.

One article about SEO doesn't establish deep expertise.

A connected collection of useful resources is much more informative.

For example, Fenix Media could have:

SEO

↓Technical SEO↓Internal linking↓Website architecture↓AI search↓Entity signals↓AI citations↓AI visibility measurement

Each page contributes to a larger understanding of the subject.

This is one of Google's strongest current recommendations.

Google describes non-commodity content as information that provides something beyond what could easily be reproduced from common knowledge or existing material. It specifically encourages unique viewpoints, first-hand experience, and useful expert perspectives.

This is where smaller specialists can compete.

You don't need to publish more than everyone else.

You need to know something worth saying.

Internal links aren't just navigation.

They create relationships between concepts.

For example:

GEO vs SEO

can naturally link to:

Why Your Business Isn't Showing Up in AI Search

which can link to:

AI Citations: What Makes a Website Worth Citing?

which can eventually link to:

How to Measure AI Search Visibility

Google explicitly recommends making content easy to find through internal links, and notes that links help both users and search engines discover related pages.

How Do You Know If It's Working?

This is where things have become considerably more interesting.

Google introduced dedicated Generative AI performance reporting in Search Console in 2026, covering visibility within generative AI features such as AI Overviews and AI Mode. Google says the reports show information including impressions, pages, countries, devices, and dates. The reporting was rolled out globally by August 31, 2026.

That gives businesses a much better starting point than relying entirely on third-party GEO tools.

For Fenix, we'd want to watch several layers.

• Organic impressions
• Organic clicks
• Search queries
• Non-branded visibility
• Rankings
• Organic conversions

• Generative AI impressions
• Pages appearing in AI features
• Search visibility by topic
• AI-generated traffic where measurable

• Business mentions
• Source/citation appearances
• Relevant third-party references
• Brand/entity consistency

Ultimately:

Did the visibility create useful traffic, leads, conversations, or sales opportunities?

That remains more important than a vanity visibility number.

The Bigger Shift

The biggest change isn't that SEO has suddenly become obsolete.

It is that search itself is becoming more conversational and synthesized.

People increasingly ask complete questions rather than typing two or three keywords.

Search systems can respond by gathering information from multiple sources and presenting a synthesized answer.

That means businesses need to think about their websites as information systems, not just collections of landing pages.

A service page explains what you sell.

A case study demonstrates experience.

An article explains what you know.

An author profile establishes expertise.

Internal links connect the concepts.

Structured data helps describe entities and content.

External references provide additional context.

Together, those pieces create something much more useful than a page optimized around a keyword.

They create a clear representation of the business and its expertise on the web.

So, GEO or SEO?

The practical answer is:

Both, but don't treat them as two completely separate disciplines.

SEO remains the foundation.

GEO is useful as a way to think about the additional challenges created by generative search experiences:

• How information gets retrieved
• How multiple sources are synthesized
• How entities are understood
• How sources are selected
• How answers are constructed
• How visibility is measured

Google's own position is that optimizing for generative AI search is still fundamentally part of optimizing the search experience.

That's probably the most useful way to look at it.

Don't abandon SEO because AI search exists.

Instead, build websites and content that are useful enough for people, understandable enough for search systems, and substantive enough to be worth referencing.

What This Means for Fenix Media

At Fenix Media, we don't treat GEO as a checklist that gets bolted onto a website after SEO is finished.

We look at the broader information system.

That means asking:

• Can search systems discover the website?
• Is the business clearly represented?
• Are its services and expertise explicit?
• Does the content demonstrate genuine knowledge?
• Are related topics connected?
• Are important claims supported?
• Does the site provide information that goes beyond generic summaries?
• Can we measure whether visibility is actually improving?

That's why we describe our approach as Generative & Advanced Search, rather than promising a collection of GEO tricks.

The search interface may change.

The underlying requirement doesn't:

Make useful information easy to discover, understand, and trust.