Over the past eight months, I’ve been rethinking how we measure content performance after seeing our organic traffic decline by more than 20% year over year. Like many marketers, I’ve spent a significant amount of time trying to understand the growing discussion around SEO, AEO, and GEO, and whether they are truly different disciplines or simply different labels for the same objective.

The reality is that content discovery is changing. Traditional search engines are no longer the only gateway to information. AI-powered answer engines, chat interfaces, and generative search experiences are increasingly becoming the first destination for users seeking answers. As a result, content strategies must evolve to account for these new discovery channels.

Understanding SEO, AEO, and GEO

The debate often falls into two camps. One group argues that SEO and AEO are essentially the same thing. The other believes they are completely separate disciplines.

After conducting my own research and experiments, I’ve found that the truth lies somewhere in between.

SEO: Optimizing for Traditional Search

Search Engine Optimization (SEO) remains what most marketers are familiar with: optimizing content to rank within traditional search engine results pages.

The fundamentals haven’t changed:

• Technical SEO
• Crawlability and indexability
• High-quality content
• Internal linking
• Backlinks and authority signals
• User experience

SEO is still about earning visibility in Google’s traditional search results. Those blue links continue to drive significant traffic and remain a critical part of most acquisition strategies.

AEO: Optimizing for AI Answers

Answer Engine Optimization (AEO) focuses on increasing the likelihood that your content will be referenced, cited, or used within AI-generated answers.

Examples include:

• Google AI Overviews
• ChatGPT responses
• Perplexity answers
• Gemini-generated results
• Other AI-powered assistants

Unlike traditional search rankings, AEO is not solely about appearing in a list of results. It’s about becoming a trusted source that AI systems choose to reference when generating answers.

GEO: The Broader Visibility Strategy

Generative Engine Optimization (GEO) can be viewed as the broader umbrella that encompasses visibility across all AI-powered discovery surfaces.

While AEO focuses specifically on citations and answer generation, GEO is concerned with ensuring your brand, products, expertise, and content appear wherever generative AI systems source information.

In that sense:

• SEO focuses on search rankings.
• AEO focuses on AI citations and answers.
• GEO focuses on overall visibility across generative ecosystems.

Why Information Gain Matters More Than Ever

One lesson became increasingly clear throughout my research: information gain is the most important factor across all three disciplines.

Whether you’re targeting search engines or AI systems, content that merely repeats what already exists has limited value.

AI models already have access to vast amounts of generalized information. If your content simply restates what hundreds of other pages have already said, there is little incentive for an AI system to cite it.

However, when your content provides:

• Original research
• Unique data
• First-hand experience
• Expert analysis
• Proprietary frameworks
• Industry observations

it creates information gain.

That information becomes valuable because it contributes something new to the conversation. In many cases, this is what gives AI systems a reason to reference your content rather than another source.

Schema markup, answer-first formatting, and technical optimization can help, but none of them compensate for a lack of original value.

The Missing Piece: Brand Authority

One area where AEO differs from traditional SEO is validation.

Historically, search engines relied heavily on links and on-page signals to determine authority. While those factors remain important, AI systems increasingly evaluate broader signals across the web.

AI models and answer engines often look beyond your website to understand:

• What people say about your brand
• Industry reputation
• Customer sentiment
• Expert mentions
• Community discussions

This means that brand visibility outside your own website becomes increasingly important.

For many organizations, AEO is best understood as:

AEO = SEO + Brand Authority + PR + Social Presence

This perspective moves the discussion beyond the simplistic argument of whether SEO equals AEO.

Instead, AEO becomes a collaborative effort involving multiple teams:

SEO Team

Responsible for:

• Technical optimization
• Content creation
• Site architecture
• Indexability
• Search visibility

PR and Brand Team

Responsible for:

• Media coverage
• Brand mentions
• Product announcements
• Thought leadership
• Industry recognition

Social Media Team

Responsible for:

• Content distribution
• Community engagement
• Audience reach
• Brand amplification

Together, these functions help create the digital footprint that AI systems use when evaluating trust and authority.

What I Learned About AI Crawling

Several technical findings stood out during my research.

1. AI Systems Don’t Always Process Content Like Search Engines

Many marketers assume that if Google can access a page, AI systems can too.

That isn’t always true.

One practical way to test accessibility is to provide a URL to an AI platform and ask it to extract specific content from the page. If it struggles to retrieve information accurately, there may be rendering or accessibility issues affecting how AI systems consume the content.

2. Markdown Is Becoming More Important

Some AI agents request content using headers such as:

Accept: text/markdown

Markdown files are lightweight, structured, and token-efficient, making them attractive for AI consumption.

While HTML remains the standard web format, markdown can provide AI systems with a cleaner and more efficient representation of content.

As AI crawlers evolve, content accessibility and formatting may become increasingly important considerations.

3. Mentions Matter Even Without Links

Traditional SEO has conditioned marketers to focus heavily on backlinks.

For AI-driven discovery, unlinked brand mentions can also play an important role.

AI systems frequently encounter information through:

• News articles
• Industry publications
• Forums
• Reddit discussions
• Product reviews
• Community conversations

In many cases, the mention itself can contribute to an understanding of brand authority, even when a hyperlink is absent.

This is why review platforms, discussion communities, and reputation management efforts are becoming increasingly relevant in AI visibility strategies.

The Practical Reality

Despite all the new terminology, I don’t believe organizations need completely separate content strategies for SEO, AEO, and GEO.

The strongest approach is often the simplest:

• Build genuinely useful content.
• Create original insights.
• Establish authority in your niche.
• Earn mentions across the web.
• Make content easily accessible to both search engines and AI systems.

SEO remains the foundation. AEO and GEO are extensions of that foundation, reflecting how users are increasingly discovering information through AI-powered experiences.

Rather than treating them as separate disciplines, it’s more productive to view them as different visibility outcomes driven by the same core principle:

Create content that contributes something valuable, unique, and trustworthy to the web.

The channels may evolve, but that principle remains unchanged.