SEO vs AEO: What Is the Difference and Do You Need Both?

SEO in 2026: essential within a broader visibility strategy

The debate around SEO vs AEO comes down to where your buyers look first. Search Engine Optimisation has been the foundation of digital visibility for two decades and remains one of the most effective ways to reach buyers who are actively looking for what you offer.

The search landscape has changed. A growing share of research now happens on AI platforms before a buyer visits a search results page. ChatGPT, Perplexity and Google AI Overviews answer questions directly, cite specific companies and shape how buyers evaluate their options, often without generating a website visit.

SEO gives companies visibility across traditional search. AEO extends that visibility into the AI-generated answers that increasingly influence the research process.

What AEO actually optimises for

Answer Engine Optimisation is the practice of structuring your content and digital presence so that AI platforms can understand what your company does, assess its credibility and include it in the answers they generate.

SEO focuses primarily on ranking, while AEO focuses on citation. SEO performance is commonly measured through positions, impressions and organic traffic. AEO measures whether a company appears in AI-generated answers to the questions its buyers are asking.

These outcomes require many of the same foundations, although the signals and methods of measurement differ.

The key differences: signals, format and measurement

Factor	SEO	AEO
Primary target	Google search index	AI answer engines such as ChatGPT, Perplexity and Google AI Overviews
Core signals	Backlinks, technical health and keyword relevance	Entity clarity, structured data, external references and content authority
Content format	Search-focused pages and articles	Direct answers, clear definitions, FAQ sections and structured data
Success metrics	Rankings, organic traffic and impressions	AI citations and brand mentions in generated answers
Timeline	Often 3 to 9 months for measurable movement	Varies according to existing authority, content quality and entity signals
Foundation required	Technical SEO and relevant content	Strong SEO, structured data and consistent entity information

The final row is particularly important. AEO builds on many of the foundations established through SEO. A website with technical problems, unclear metadata or poor performance gives search and AI systems less reliable information to interpret and reference.

Where SEO and AEO overlap

Both disciplines benefit from clear, well-structured content. Both require a technically healthy website and reward authority built through external references and consistent entity signals. They also improve when content directly answers the questions buyers are asking.

This overlap means that many SEO improvements also support AEO performance. Fixing metadata, improving content structure, adding internal links and building credible external citations can strengthen visibility across both search and AI platforms.

The differences become most visible in the content layer. SEO content is commonly organised around search intent, heading structure and topical coverage. AEO places additional emphasis on question-and-answer formats, direct definitions and structured information that AI systems can extract and verify. One page can support both objectives when they are included in the strategy from the beginning.

Do you need both SEO and AEO?

For most companies, yes.

Buyers rarely follow a linear research path. Some begin with Google and visit several websites. Others ask ChatGPT or Perplexity for an initial overview. Many move between search engines, AI platforms, company websites and external sources before creating a shortlist.

Visibility across only one of these channels leaves part of the research journey uncovered. In B2B sectors with long buying cycles and high-value contracts, that early research phase can have a direct influence on which companies receive an enquiry.

The companies we work with in finance, technology and professional services operate in this environment. Their buyers use multiple tools, compare sources and form an opinion before making contact. A company that is absent from AI-generated research has fewer opportunities to enter that initial shortlist.

How CM Marketing combines SEO and AEO

At CM Marketing, SEO and AEO are managed through one connected strategy. They share the same foundation: a technically sound website, content built around the questions buyers ask and authority signals that make the company understandable and credible to search engines and AI systems.

We begin with an audit covering technical SEO, current Google visibility and AI presence across ChatGPT, Perplexity and Google AI Overviews. The findings become a coherent execution plan covering both traditional search and AI-generated discovery.

You can see how this works in our case studies. CurrentDesk moved from an average search position of 32 to 22 within three months, while impressions grew from 795 to more than 57,000 over six months. The project approached SEO and AEO as connected parts of the same visibility strategy.

If you are evaluating SEO and AEO services for your business, see how our approach works in practice.

To understand where your company currently stands across both, start with an SEO and AEO audit.

FAQ

Can AEO replace SEO?

AEO depends on many of the same technical and editorial foundations as SEO. A website needs to be accessible, clearly indexed and supported by credible content before it can build consistent visibility in AI-generated answers. Using both disciplines provides broader coverage across the buyer’s research journey.

Which should I prioritise first?

Technical SEO, content structure and metadata establish the foundation. AEO can then be developed through direct-answer content, structured data, entity consistency and stronger external signals. In practice, most companies need improvements across both areas, so we manage them through a single strategy.

How do I measure AEO success?

The most direct method is systematic prompt testing. Identify the questions your buyers are likely to ask, test them across ChatGPT, Perplexity and Google AI Overviews, and record whether your company appears in the answers and citations.

Supporting indicators include branded search volume in Google Search Console, referral and direct traffic, brand mentions, and the quality of inbound leads. These signals help show whether greater AI visibility is contributing to commercial discovery and buyer intent.