One of the biggest debates in the search industry today is whether SEO is being replaced by AEO (Answer Engine Optimisation). With the rise of AI Overviews, ChatGPT, Perplexity and other AI-powered search tools, many marketers are wondering whether traditional SEO techniques are still relevant.
The reality is that SEO is not being replaced. Instead, search engines and AI systems are becoming more sophisticated in how they understand websites and evaluate information.
A useful way to think about this evolution is:
| Traditional SEO | Modern Search Visibility |
|---|---|
| Keywords | Entities |
| Pages | Topics |
| Rankings | Authority |
| Search Results | Search & AI Answers |
The principles remain remarkably similar, but the emphasis has shifted.
The Traditional SEO Model
For many years, SEO focused on optimising individual pages for specific keywords.
A typical process might have looked like this:
- Identify a keyword.
- Create a page targeting that keyword.
- Build links to the page.
- Improve rankings.
This approach worked well because search engines relied heavily on matching keywords to webpages. The common phrase among SEO professionals was:
"For each phrase, you need a page."
While keyword targeting is still important, search engines are now far better at understanding context, meaning and relationships between pieces of content.
From Keywords to Entities
Modern search engines increasingly focus on entities.
An entity is a person, organisation, place, product or concept that can be uniquely identified.
For example:
- London Web Factory is an entity.
- Adrian Smith is an entity.
- SEO Training is an entity.
- Google Ads is an entity.
Rather than simply matching keywords, search engines attempt to understand the relationships between these entities.
This is one reason why branding has become increasingly important. Search engines want confidence that a website represents a genuine organisation with recognised expertise in its field.
From Pages to Topics
In the past, a single page might have been created to target a specific phrase.
Today, search engines are more interested in understanding how well a website covers an entire topic.
This is where concepts such as topic clusters and content hubs become important.
For example, an SEO training provider might create content covering:
- Keyword research
- Technical SEO
- Link building
- Content marketing
- Google Search Console
- AI Overviews
Collectively, these articles help establish expertise across the wider topic of SEO.
Rather than viewing pages in isolation, search engines increasingly evaluate how content works together.
From Rankings to Authority
Links and rankings still matter, but authority has become increasingly important.
Search engines and AI systems are looking for signals that demonstrate:
- Experience
- Expertise
- Authoritativeness
- Trustworthiness
These principles are often referred to as E-E-A-T.
Authority can be demonstrated through:
- Original content
- Industry experience
- Quality backlinks
- Brand mentions
- Reviews and testimonials
- Consistent publication of helpful content
The more authority a website demonstrates within a topic area, the more likely it is to be visible across both traditional search results and AI-generated answers.
Search Results Are Becoming Search Answers
Perhaps the biggest change is how people discover information.
Traditional SEO focused on earning clicks from search engine results pages.
Today, users may receive answers directly from:
- Google AI Overviews
- ChatGPT
- Microsoft Copilot
- Perplexity
- Voice assistants
These systems often cite authoritative sources when generating responses.
This is why modern SEO is increasingly about becoming a trusted source of information rather than simply ranking a single page.
SEO and AEO Are More Similar Than Different
Despite the new terminology, the techniques that help websites perform well in AI-driven search are largely the same techniques that have always underpinned good SEO.
Clear website structures, helpful content, strong internal linking, topical authority and technical excellence all contribute to both traditional rankings and AI visibility.
The future of search is not about abandoning SEO. It is about expanding SEO to account for new ways that users discover information.
In many ways, the goal remains unchanged: create the best resource on a topic and make it easy for search engines and AI systems to understand.