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

The framing of AEO versus SEO as two separate, competing disciplines is popular online — and mostly wrong. Answer engine optimisation is not a replacement for SEO. It is built on exactly the same foundations, with a specific set of additions that improve your visibility in AI-generated answers.

This matters because it changes how you approach the work. If AEO were a genuinely separate discipline, you would need a separate strategy and a separate budget. Because it is not, the right approach is one integrated strategy that covers both — and the incremental cost of adding AEO to good SEO is much lower than most agencies suggest.

What SEO and AEO share — which is most of it

The foundations of good SEO are also the foundations of good AEO. Both disciplines reward the same things:

• Content quality — well-researched, accurate, genuinely useful content performs better in both traditional search and AI citations
• Authority — domain authority, backlinks, and external citations that confirm your expertise carry weight in both Google rankings and AI source selection
• E-E-A-T signals — author credentials, original research, and demonstrable expertise boost both SERP rankings and AI citation likelihood
• Technical health — fast, crawlable, well-structured sites are prerequisites for both — AI cannot extract from a site it cannot read
• Structured data — schema markup already recommended for SEO also significantly improves AI discoverability

Practitioners consistently report that pages optimised for AEO tend to improve in Google rankings as a by-product — because the same things that make content easy for AI to parse (clarity, structure, authority) make it better for Google too. The strategies compound, not compete.

What AEO actually adds — the incremental changes

The Princeton and Georgia Tech GEO paper (tested across 10,000 queries on generative AI systems) identified the specific tactics that meaningfully improved AI citation rates — and the list is shorter and more targeted than most AEO guides suggest.

The tactics that produced the biggest gains (30-40% visibility improvements) were not exotic. They were:

• Front-loading answers — opening each section with a direct, concise answer (40-50 words) before expanding into detail. AI systems extract from the top of a section; content that buries the answer never gets cited.
• Adding statistics and citations — linking to credible sources and including specific data points significantly increases the likelihood of being included in AI-generated answers. AI systems prefer citable, verifiable claims.
• Question-based headings and FAQ sections — structuring content around the questions people actually ask makes it much easier for AI systems to match your content to a query and extract a relevant answer.
• Entity consistency across directories — making sure your business name, address, services, and description are consistent across your website, Google Business Profile, and third-party directories helps AI systems confidently identify and cite you.
• Multi-platform presence — appearing in credible third-party sources (press coverage, industry directories, review platforms) gives AI systems multiple corroborating references — increasing citation confidence.

Notice that none of these require a separate content strategy. They are changes to how you write and structure content — and they can be applied to existing SEO content with relatively modest effort.

What does NOT work for AEO — even if it worked for SEO

The GEO research also identified tactics that traditional SEO practitioners rely on but which do not transfer to AI citation:

• Keyword density — repeating target phrases does not improve AI citation rates. AI systems understand semantic meaning, not keyword frequency.
• Narrative-heavy long-form content without clear structure — long articles that do not front-load answers tend to perform worse for AI citations than shorter, more structured pieces, even if they perform better for dwell time and traditional SEO.
• Backlink quantity without relevance — volume of backlinks matters less for AI citation than authority and relevance of sources. Fewer, higher-quality citations outperform many low-quality links.

The right way to approach AEO and SEO together

Do not treat them as two separate workstreams. Treat them as one quality-first content strategy with AEO principles built in from the start.

In practice, this means: write genuinely good content, back it with credible sources and data, structure it around the questions your customers ask, front-load your answers, keep your entity signals consistent, and build real authority through press, directories, and client references. That strategy works for Google and for AI — simultaneously.

The incremental AEO-specific work — schema markup, FAQ sections, entity consistency — sits on top of that foundation and does not require a separate strategy or budget. For a practical breakdown of what to actually do, our guide on how to show up in ChatGPT and Perplexity walks through the five steps in detail.

How we build this for clients

Our SEO retainers include AEO as standard — not as an add-on — because we think separating them is the wrong model. One integrated strategy, one retainer, one set of monthly reporting that covers both keyword rankings and AI citation tracking.

If you want to understand where your business currently stands on both Google and AI search, get a free audit. We will look at both dimensions together and tell you where the biggest opportunities are.

Related reading

Other pieces in this series that pick up specific aspects of SEO and AEO.

• What Is Answer Engine Optimisation (AEO)?: the definitional primer on AEO.
• What Is Generative Engine Optimisation (GEO)?: the same discipline, a different label, and why the term exists.
• AEO Strategy Playbook: the five-phase implementation framework behind this integrated approach.
• How to Measure AEO: free and paid ways to track both traditional rankings and AI citations.
• AI Overviews and Click-Through Rates: the 2025-2026 CTR data that explains why the integrated approach now matters more.
• Blog vs Article vs Listicle: how content type and search intent interact with AI Overviews.

Common questions

Should I do SEO and AEO at the same time, or sequentially?

Simultaneously. The foundations they share (fast site, clean HTML, strong author credentials, credible authority signals) serve both disciplines. Sequencing them would duplicate work. The incremental AEO-specific tactics (answer-first structure, FAQ blocks, entity consistency) sit on top of SEO foundations rather than replacing them.

What's the quickest AEO win for a site that already ranks on Google?

Rewrite your top 5 to 10 informational pages with answer-first structure, question-based headings and an FAQ section. The Princeton and Georgia Tech GEO research found that these structural changes alone delivered 30 to 40% visibility gains. It is a single sprint of focused writing, with the highest payback of any AEO tactic.

Are AI Overviews going to kill SEO?

No, but they are reshaping which parts of SEO still pay off. Informational traffic is under pressure (Pew Research measured CTR dropping from 15% to 8% when an AI Overview appears). Commercial and transactional traffic is largely unaffected, because AI Overviews rarely show up on those queries. The CTR impact piece covers the data in detail.

Editor's note (April 2026): In 2026, "AEO" has started to be used by some technical sources as shorthand for Agent Experience Optimisation, a separate infrastructure discipline. We cover the distinction in Agent Experience Optimisation vs Answer Engine Optimisation.