Introduction: two perspectives, one foundation
- Discoverability Indexing, internal links and crawler access.
- Useful content A clear answer to a real intent.
- Consistent information Organisation, author and verifiable data.
- Measurement A reproducible protocol and explicit limitations.
SEO aims to make a website discoverable and understandable to search engines. AEO, or Answer Engine Optimization, is a market term for visibility in synthesised answers. It is neither an official standard nor a channel independent of SEO.
Google states that its AI features rely on the usual search fundamentals. There is no AI-specific markup, minimum length or special file that guarantees inclusion.
A useful, accessible and correctly indexed page serves both objectives. AEO primarily adds a discipline of verification, clarity and measurement.
What is SEO?
SEO encompasses practices that help engines discover, crawl, understand and present relevant content. It includes indexing, architecture, internal links, editorial quality, performance and consistency of information.
Its effectiveness is not limited to a ranking. We also measure impressions, clicks, queries, landing pages and observable conversions.
What is AEO?
AEO applies these fundamentals to interfaces that directly formulate an answer, with or without clickable references. The display format, choice of sources and presence of a link vary according to the platform, query and time of the test.
We therefore cannot promise that content will be used. We can, however, improve its discoverability, precision and the ease with which a reader or system can verify its facts.
Useful differences between SEO and AEO
1. The measured objective
SEO: impressions, clicks, rankings, qualified traffic and conversions.
AEO: mentions observed through a documented protocol, displayed references, referral visits and attributable conversions. A one-off screenshot is not enough to establish a trend.
2. The form of the answer
SEO: the page must answer the intent and offer a complete experience.
AEO: important passages benefit from being explicit, contextualised and sourced. However, there is no ideal word count or guaranteed sentence format.
3. Technical checks
SEO: indexability, sitemap, canonicals, internal links and rendering remain priorities.
AEO: the robots.txt policy also deserves review for the crawlers published by OpenAI or Perplexity. Allowing them enables access without guaranteeing a citation.
4. Structured data
Schema.org can help engines interpret certain information when it matches visible content. Google states that no special structured data is required for its AI features. Adding a type or FAQ solely to “speak to AI” is therefore not a strategy in itself.
One shared method with six checks
1. Check discoverability
Check HTTP statuses, indexing directives, canonicals, the sitemap and internal links. An inaccessible page does not become more visible because it contains extra markup.
2. Answer a real intent
Start with a clear answer, then detail the conditions, limitations and exceptions. Length should follow the complexity of the subject, not an arbitrary quota.
3. Separate fact, method and opinion
Date data that may change. Link rules, figures and specifications to their primary source. Present internal analysis as such.
4. Describe the organisation consistently
The name, author, contact details, services and areas served must be consistent across pages. Structured markup may reflect this information but must not invent it.
5. Define a crawler policy
OpenAI and Perplexity document several crawlers with distinct purposes. Decide which ones you want to allow or block. The llms.txt file remains a community proposal, and Google states that it does not use it.
6. Measure with a reproducible protocol
Keep a stable set of questions, the date, platform, mode used and sources displayed. Supplement this observation with Search Console, analytics and server logs where relevant.
Combined strategy: SEO first, AI observation next
Publish content that deserves to be found and read. Make its information verifiable. Fix technical barriers. Only then observe how the different interfaces present it.
This sequence avoids three common mistakes: producing artificially long pages, adding schemas unrelated to the content and confusing crawler permission with guaranteed visibility.
- SEO remains the foundation of AI-assisted search features
- No file, schema or word count guarantees a citation
- Important information must be clear, dated and sourced
- Crawlers published by platforms let you control access
- Measurement must distinguish mentions, visits and conversions
Connect to the key services
To explore the foundations further, see our SEO approach, the AEO method and the answer engine hub. These approaches complement each other, but none can guarantee rankings or citations.
Conclusion: progress without promising what you cannot control
A responsible strategy improves what the business controls: website quality, technical accessibility, content accuracy, sources and measurement setup. The final choice of a source always belongs to the engine used.
Explore further · 2026 guides
This article establishes the foundations. To put them into practice, here are our 5 actionable guides published in April 2026:
- Generative AI search visibility: the complete 2026 guide: fundamentals, checks and measurement
- How to appear in ChatGPT in 2026: an LLMO guide with 8 areas to address
- Optimising your website for ChatGPT and Perplexity: a practical tutorial with code examples
- How to be cited by Perplexity: a Perplexity-specific guide
- AI Search Optimization in Belgium 2026: method and checkpoints