What does SEO actually do?
SEO makes your website appear in traditional search results. It covers technical health, keyword research, on-page content, backlink authority, and crawlability. When someone types a query into Google and scrolls through the list of results, SEO is the work that determines whether your page appears and how high it sits. For most of the past two decades, it was the only game in town: if you wanted organic traffic, you optimised for the ranking algorithm, earned links, and let the results compound.
- Technical SEO: site speed, crawlability, structured data, indexation.
- On-page SEO: keyword targeting, heading structure, content depth.
- Off-page SEO: backlinks, brand mentions, domain authority.
- Local SEO: Google Business Profile, local citations, review signals.
What does AEO do that SEO cannot?
AEO makes your content appear inside the answer itself. When a user asks ChatGPT a question, queries Perplexity, or triggers a Google AI Overview, the engine does not return a list of links. It returns a synthesised answer, sometimes with citations, sometimes without. Answer engine optimisation is the work that makes your business the source the engine pulls from. It requires a different kind of authority: entity clarity, structured data, citation-ready formatting, and content that answers the question in a shape the model can extract.
- Entity authority: consistent identity across the web so models resolve you correctly.
- Schema markup: structured data that machines parse without ambiguity.
- Answer-first content: paragraphs shaped for extraction, not just readability.
- Citation signals: formatting, sourcing, and trust signals that models reward.
How do SEO and AEO compare side by side?
The fastest way to see the difference is dimension by dimension. Same foundations, different finish line.
| Dimension | SEO | AEO |
|---|---|---|
| Target surface | The search results page: a ranked list of links. | The answer itself: AI Overviews, assistants, chat responses. |
| What success looks like | A higher position in the list and more clicks through to your site. | Your business named or cited inside the generated answer. |
| Content shape | Comprehensive pages that cover a topic in depth. | Answer-first sections a model can lift word for word. |
| Key signals | Keywords, backlinks, technical health, crawlability. | Entity clarity, schema markup, consistency across the web. |
| How you measure it | Rankings, impressions, clicks. | Citations, mentions, and answer share across AI engines. |
Where do they overlap and reinforce each other?
They share most of their foundation. High-quality content, strong domain authority, clean technical infrastructure, and well-structured pages benefit both. A site that ranks well in traditional search already carries many of the trust signals AI engines use when selecting sources. The difference is the final mile. SEO stops at ranking. AEO extends the work to ensure that when the engine synthesises an answer, your content is the one it draws from. Backlinks help both. Schema helps AEO more. Keyword targeting helps SEO more. Entity consistency helps AEO enormously and SEO moderately.
Do you need both, running in parallel?
Yes, for most businesses. Traditional search still drives substantial organic traffic, and for many queries it remains the main path to your site. But for a growing share of questions, the user never reaches the traditional results at all. If you only do SEO, you are invisible in the answer layer. If you only do AEO, you give up the compounding traffic that rankings provide. Treat them as a single, integrated visibility strategy: build the technical foundation once, optimise content for both surfaces, measure both outcomes. The wider umbrella over all of this is generative engine optimisation (GEO), and our AI search optimisation service runs all three together: the agent proposes the fixes, a senior SEO approves every change, and we check the live page after each one ships.