For businesses, publishers and website owners, that raises an important question:

According to Google, the answer is surprisingly straightforward.

You still need SEO.

But SEO now has to support a much larger search ecosystem.

Google has published guidance specifically addressing how websites can appear in its generative AI search experiences. The company says its AI features continue to rely on Google’s core Search ranking and quality systems.

That means businesses do not need to abandon SEO.

They need to understand what modern SEO is becoming.

Google Search Is Becoming an AI Search Engine

Google Search is no longer simply matching keywords with webpages.

AI Mode and AI Overviews can interpret complicated questions, search across multiple sources, synthesize information and present users with an answer before they ever click a traditional search result.

The change is particularly noticeable when comparing traditional keyword searches with today’s conversational AI queries.

Google’s AI systems may examine information from multiple sources before generating a response.

The challenge for businesses is therefore no longer simply:

It is increasingly:

That is an important distinction.

Google Says Traditional SEO Still Matters

There has been an explosion of new terminology surrounding AI search.

You may have encountered terms such as:

• AEO — Answer Engine Optimization
• GEO — Generative Engine Optimization
• AI SEO
• LLM Optimization

Some of these concepts can be useful ways of thinking about search strategy.

But Google’s official guidance does not say businesses need an entirely separate optimization system for AI Overviews and AI Mode.

Google’s AI Search experiences continue to build upon the same Search infrastructure businesses have been optimizing for all along.

The AI layer is being built on top of those foundations rather than replacing them.

The llms.txt Myth

One of the more interesting developments in AI optimization has been the rise of a file called llms.txt.

The idea is that websites could provide an AI-specific file telling large language models what content they contain.

That has led some businesses, developers and SEO companies to suggest that every website now needs an llms.txt file to appear in Google’s AI results.

Other AI systems may potentially make use of files such as llms.txt, so the concept itself should not necessarily be dismissed.

But adding one should not be treated as a secret Google ranking technique.

There is currently no magic file that instantly makes a website “AI optimized.”

There Is No Special AI Schema Either

Structured data remains useful.

Schema markup can help Google understand information about a business, article, product, organization, event and other types of content.

But another misconception has begun appearing around AI optimization:

Website owners should continue using appropriate structured data because it can help Google understand content and qualify pages for supported Search features.

But businesses should not expect an invented “AI schema” to unlock a hidden generative-search ranking advantage.

Technical SEO still matters.

Inventing technical SEO techniques that Google does not actually use does not.

Google Wants Information That Adds Something New

This may be one of the most important developments for content creators.

Search engines have little difficulty finding basic information that has already been repeated across hundreds or thousands of websites.

AI makes summarizing that commodity information even easier.

What becomes more valuable is information that contributes something original.

For example, a web developer publishing:

may be competing against thousands of nearly identical articles.

But an article titled:

immediately has the potential to contribute firsthand knowledge and experience.

That difference is becoming increasingly important.

Don’t Write for Robots

Ironically, optimizing for AI may require businesses to stop trying so hard to write for machines.

Modern search systems are significantly better at understanding language, meaning, context and related concepts.

Businesses do not need to repeat dozens of versions of the same keyword simply because they believe an algorithm requires it.

Nor does every article need to be broken into tiny fragments solely for an AI crawler.

Artificial Mentions Aren’t the Answer Either

Another emerging AI optimization tactic involves attempting to manufacture large numbers of brand mentions across websites, forums and social platforms.

There is some logic behind the theory.

Google’s systems can analyze information about organizations and subjects across the web.

But attempting to manipulate those signals with artificial references is not a sustainable strategy.

Google’s Search systems continue to evaluate content quality while its spam systems are designed to identify manipulation.

Real reputation still matters.

Genuine mentions, citations, links, customer discussions and professional references are considerably more valuable than artificial references created solely to influence search algorithms.

Preferred Sources Just Became Much More Important

One Google Search feature businesses and publishers should pay particular attention to is Preferred Sources.

Preferred Sources gives users greater control over which publishers and websites they want Google to prioritize when surfacing information.

Google has expanded Preferred Sources into its AI-powered Search environment.

That requires something considerably more valuable than keyword manipulation.

It requires consistently useful information, expertise and trust.

AI Search Visibility Is Becoming More Measurable

One of the biggest challenges surrounding AI search has been measurement.

Traditional SEO gives website owners familiar metrics such as impressions, clicks, search queries and average ranking position.

AI-generated search experiences initially made visibility more difficult to understand.

Google has continued expanding Search Console reporting and information around generative AI search experiences, giving website owners greater insight into how their content participates in modern Search.

This makes Search Console increasingly important as businesses evaluate whether their content is gaining visibility within Google’s evolving search environment.

AI-Generated Content Is Not Automatically a Problem

Another common misconception is that Google automatically penalizes content simply because AI helped create it.

That is not the core issue.

Generative AI can be useful for research, brainstorming, organizing information and helping content creators work more efficiently.

Problems arise when businesses use automation to mass-produce large volumes of low-value pages designed primarily to manipulate search rankings.

Businesses using AI should still contribute expertise, review the information, verify important facts and provide meaningful value beyond what an automated system could generate by itself.

What Businesses Should Do Now

For most businesses, adapting to AI Search does not require rebuilding an entire website.

It requires strengthening the fundamentals.

Most importantly:

That may become increasingly valuable as Google’s AI Search experiences and features such as Preferred Sources continue evolving.

Search Optimization Is Becoming Source Optimization

For years, SEO primarily focused on getting a webpage into the right position on a search results page.

That objective still matters.

But another objective is emerging.

Businesses need to become sources.

• Sources that search engines trust.
• Sources that AI systems can discover.
• Sources that provide original information.
• Sources that answer difficult questions.
• Sources that demonstrate real expertise.
• Sources that users recognize and intentionally choose.