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Expanding from SEO to AEO: How AI Is Transforming the Search Landscape

For more than two decades, Search Engine Optimisation (SEO) has helped brands become discoverable online. The goal has always been the same: deliver the best possible result to the user. This core fundamental hasn’t really changed, not even with the emergence of AI assistants, LLMs, and generative search experiences.

What has changed is how those answers are delivered. Users now expect instant responses, summaries, comparisons, and insights. We are in an era of zero wait time, and this shift has forced an evolution from SEO (Search Engine Optimisation) to AEO (Answer Engine Optimisation).

At This is LD, we believe brands need to navigate this transition by uniting traditional search foundations with the new demands of AI-driven discovery, always focusing on what is most important: the audience.

In the same way search engines and LLMs are following the user behaviours, we’re doing the same, looking for what matters to the users and making it easier for all these systems to comprehend the context of the content.

So, let’s understand how it works.

From Search to 'Answers': Why the Landscape Has Changed

Search engines used to match keywords with webpages. Modern AI systems go much further. They:

Even so, the mission remains the same: give the user the best answer. What has actually changed, is the mechanism. This evolution is why AEO is now emerging as a strategic priority.

AEO vs. SEO: A Simple Way to Understand the Difference

One of the most helpful ways to understand this shift is to think of SEO and AEO as two layers of the same system, not competing disciplines.

While SEO does consider keyword intent and semantic variations, it still relies heavily on identifying the specific phrases users type into search engines and optimizing content around those queries.

SEO = Help my page rank
AEO = Help my content be the answer

SEO focuses on visibility in traditional search results, through:
AEO focuses on visibility in AI-driven answer surfaces, through:
A simple analogy:

SEO gets your content on the shelf.
AEO gets your content picked up and quoted when AI gives an answer.

Both are essential.

SEO builds the foundation.

AEO extends it to the ecosystem of AI Overviews, Perplexity responses, conversational assistants, and other AI-powered experiences.

An important point is that, just as we humans search on Google and select the answer that pleases us most, AI does the same. In practical terms, AI, like us, will also look at the highest-ranked results from search engines to choose the content it will prioritize. From there, it extracts answers that are more aligned with the chats, guided by semantic structure.

Visual Guide: SEO vs. AEO

Aspect SEO (Search Engine Optimisation) AEO (Answer Engine Optimisation)
Primary Goal
Rank pages in traditional search
Be included as the answer in AI outputs
Understanding Content
Keyword intent, search terms, variations
Semantic structure, entities, contextual meaning
User Journey
Click-based
Zero-click / answer-first
What Systems Evaluate
Relevance, structure, links, E-E-A-T
Entities, context, synthesis quality, authority
How Content Is Used
Listed as a link
Quoted, cited, summarized, or extracted
Key Activities
Technical SEO, keyword mapping, link building
Entity optimization, structured summaries, contextual depth
Visibility Format
SERPs, snippets, organic results
AI Overviews, Perplexity answers, chatbots, assistants
Dependency
Search engine algorithms
LLM retrieval + generative reasoning

What AI Systems Prioritize When Choosing Answers

Even though the delivery method changes, AI still seeks the best possible answer. To evaluate content, LLM systems typically rely on:

AEO Is Not the End of SEO. It's the Expansion of SEO

A Question Everyone Is Asking: Has SEO Died?

A common question in this new landscape is whether SEO is losing relevance as AI-generated answers, Overviews and conversational interfaces become more prominent. But the experts who study search behaviour, and the data on how people actually navigate the web, tell a very different story.

SEO remains essential, and AEO simply builds on top of it.

Recent analysis from Datos reinforces this reality. In their State of Search Q3 2025 report, the company found that despite rapid adoption of AI tools, traditional search remains the backbone of online discovery, with usage holding remarkably steady across regions. In the US, desktop search share grew from 9.96% to 10.38% year over year, while in Europe it rose from 10.38% to 10.88%.

The report also highlights the extraordinary resilience of Google’s leadership. Across both the US and EU, Google maintained about 95% of all desktop search share, with only minor quarterly fluctuations. This is a sign of deep-rooted, stable behaviour rather than structural change.

In other words, even as AI tools gain visibility, the overwhelming majority of global discovery still runs through traditional search. And although AI search is expected to overtake traditional search in the future, the systems powering both rely on the same underlying principles: helpful, crawlable, credible content.

Google’s Search Liaison Danny Sullivan emphasised this continuity in his WordCamp US keynote, reminding creators that the fundamentals of SEO remain critical in an AI-first era.

“Good SEO is good GEO or AEO… don’t panic. What you’ve been doing for search engines is still perfectly fine and still the things you should be doing.”

Independent voices echo this same conclusion. Rand Fishkin, co-founder of Moz and CEO of SparkToro, reinforces that SEO remains tied to a basic human pattern, the instinct to seek information before making decisions.

“So long as human beings attempt to acquire information prior to making purchases… SEO will be needed.”

And Semrush’s latest study on AI search confirms that the pillars of SEO remain central even within LLM-driven environments. As they conclude:

“Currently, traditional SEO factors drive a large portion of brands’ visibility in LLMs.”

Together, these insights make one thing unmistakably clear. AEO doesn’t replace SEO. It expands it.

SEO is still what ensures your content can be found, accessed, understood and trusted. AEO simply extends that foundation into a world where answers, not links, increasingly define the discovery experience.

How to Evolve Your SEO Strategy for the AEO Era

As search evolves from ranking links to generating answers, brands need to rethink visibility as a multi-layered framework. Traditional SEO continues to be the foundation, ensuring content is discoverable, crawlable, technically sound and aligned with user intent.

AEO adds a new dimension: ensuring your content is understood and selected by AI systems as a trusted, context-rich answer source. That requires brands to invest not only in what they publish, but in how that information is structured, contextualised, connected and signaled to both users and large language models.

At This is LD, we work with clients to unify SEO and AEO into a single forward-looking strategy. Here’s what that looks like in practice.

1. Strengthen SEO foundations

AEO only works when SEO fundamentals are solid. Technical health, crawlability, content quality, and site structure remain the base layer that allows AI systems to access and evaluate your content. Without this, visibility, in any format, collapses.

2. Shift from keywords to entities

LLMs don’t rely on exact-match keywords. They rely on entities and relationships. Brands need to clarify what they want to be known for and ensure that content consistently reinforces those concepts. This improves both traditional search relevance and AI understanding.

3. Create content designed for answers

Instead of focusing only on ranking signals, brands should focus on answerability: clear summaries, well-structured explanations, consistent context, and unique perspectives. This is the kind of content LLMs can confidently surface in AI Overviews or conversational responses.

4. Elevate E-E-A-T

Authority and credibility matter more than ever. AI systems favor sources that demonstrate expertise, experience, and trustworthiness. Expert input, evidence, and accurate information all increase the likelihood of being cited or recommended in AI-generated outputs.

5. Structure content for LLM extraction

Well organised pages with strong headings, semantic structure, schema markup and clear relationships between topics make it easier for AI systems to interpret and use your content. This is where SEO and AEO overlap most directly.

6. Measure visibility beyond rankings

Brands can no longer rely solely on keyword positions. It’s essential to monitor where your content appears in AI ecosystems: citations in AI Overviews, mentions in answer engines, entity recognition strength, and answer-share metrics. At LD, we’re building measurement frameworks that reflect this new landscape.

Conclusion: Winning in the AI Era Starts With User-Focused Depth

The evolution from SEO to AEO doesn’t redefine what “good” looks like in search. It reinforces it. The same principles that elevated strong SEO for years are the ones that now determine whether your content is selected, cited or synthesised by AI systems.

Depth. Accuracy. Relevance. Trust.

These are no longer differentiators. They are entry tickets.

AEO is simply the next layer: a more demanding environment where only content with clear expertise, meaningful insights and real usefulness rises to the top.

For brands, this means shifting the mindset from publishing more to publishing better.

The rewards are visibility, credibility and long-term discoverability across every search surface, traditional or AI-powered.

Ready to Evolve from SEO to AEO?

At This is LD, we help brands build search strategies designed not only to rank, but to become the answer.

If your team is ready to strengthen entity foundations, elevate content depth, and increase visibility across AI-driven search experiences, our SEO & AEO Strategy Services can guide the way.

Let’s shape the next era of search together.

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