Answer Engine Optimization: AEO vs. SEO Explained And Tips To Get Started

Answer engine optimization is best defined as a response to digital marketers’ biggest question about AI: “What do we do now?”

Instead of customer journeys that begin on search engines like Google, tools like ChatGPT, Perplexity, and Claude represent the new gateways standing between brands and consumers. Answer engines function like concierges or personal shopping assistants, enabling conversational-style interactions that provide a more natural and convenient digital experience.

According to Forrester, answer engines are already helping 28% of B2B buyers spend less time doing research. The risk is that by providing comprehensive summaries and overviews, these tools will lead those buyers to bypass clicking through to brand websites. That could mean fewer vendors in the consideration phase of the journey, and it makes getting cited a vital new success metric.

The rise of answer engine optimization (AEO) doesn’t spell the end of search engine optimization (SEO), though. It’s simply the beginning of a new chapter in getting content in front of the right audience.

The shift from SEO to answer engine optimization

Answer engine optimization may be developing faster than SEO did, but the process is much the same. When search engines emerged in the early aughts, marketing experts took pains to study how sites got indexed and ranked to make the coveted first results page of URLs.

The best SEO practices have never been about trying to game the system. It’s an approach that simply recognizes:

• It’s easier for content to get noticed by search bots when your content features keywords to match common queries.
• It helps to make your site as “crawlable” as possible by having fast load times, strong internal linking, and no broken URLs. These are all part of what are known as Core Web Vitals.
• Search engines are looking for topical authority, such as content based on original research and insight. This is sometimes known as Experience, Expertise, Authoritativeness, and Trustworthiness (EEAT).

When done right, SEO continues to provide significant value: 91% of brands report that SEO has positively impacted their website performance.

AEO is not a huge departure from SEO. You’re still focused on ensuring content is clear, structured, factual, and machine-readable. Instead of merely reviewing and ranking content, however, answer engines are designed to directly retrieve and summarize it on the searcher’s behalf.

Your goal is not just search visibility anymore, but answer visibility: having content so compelling that LLMs will notice and incorporate it into responses.

Here’s a side-by-side comparison of SEO and AEO that will help distinguish the two:

Comparing search engine optimization and AI chatbot optimization

Why CMS architecture matters more than ever for AEO

Optimizing your content for answer engines begins with a platform that enables maximum adaptability while allowing for easy, real-time updates and the built-in semantic structure that LLMs love.

For example, your CMS should cover all of the following and more:

• The ability to work with myriad content types and fields, as well as semantic HTML tags that improve accessibility and SEO by giving clear structure and meaning to content. These include everything from <article> and <section> to <header> and <nav>.
• Dynamic content freshness and version control. WordPress VIP addresses this through multi-layered caching, Git-based development workflows, and editorial tools like collaborative editing.
• Turning each page into a machine-readable entity graph, which lets answer engines understand its attributes and relationships to other content. You get this via reusable snippets, field-level mappings, and support for schema.org and JSON-LD, which is also available through WordPress VIP.
• Centralized metadata management and content relationships. Your CMS has to simplify internal linking and semantic navigation, while also offering central storage for content assets like metadata. This allows you to optimize content correctly wherever it is published.

Choosing an open and intelligent CMS means you’ll not only gain the flexibility to address AEO right now, but be well-positioned to adapt as the requirements of AI search tools change over the longer term.

How Content Needs to Evolve for AI Consumption

Typing keywords in a search engine is like asking for directions. Posing questions to an answer engine is more like seeking out expert advice. That means you not only have to think about the CMS managing your content but how you create and develop it.

Well-placed keywords are still important for SEO, but now you want to think about how to also weave in clear, concise summaries that give LLMs a head start. You’ll want to break up walls of text with content blocks that use tables, FAQs, and definitions. Including supporting context such as sources, how to verify them, and timestamps are also attractive to answer engines.

Here’s a quick checklist that goes over these areas as well as the more technical aspects of fully-optimized content for AI:

Recommendations to optimize a web page for AI bot consumption

Practical steps to optimize for answer engines

It took most brands a long time to put SEO practice in place. AEO won’t happen overnight either, but you can create a plan today that will get you there faster than you think:

1. Audit and structure: Identify pages best suited for AI extraction. These should have content that aligns with your core business goals, such as converting prospects into customers, cross-selling or upselling, or simply deepening digital engagement.
2. Enhance semantic markup: Use schema and accessible HTML tags if they’re not already in place. There may be multiple assets or areas of your site that need to be updated and refreshed as you place more emphasis on AI search visibility.
3. Curate authoritative answers: Getting to the point early on has never been more important. Don’t expect LLMs to get to the end of the page. Instead, surface accurate, up-to-date responses near the top of pages. This is what your audience ultimately wants, and answer engines scrape accordingly.
4. Maintain freshness: Implement processes for continuous content review and updates. This includes answers to critical questions like pricing, inventory, and industry-specific alerts. Your CMS should offer features like scheduling and instant publishing to make this process easier.
5. Ensure accessibility: Optimize HTML for parsing by AI models and voice interfaces. Your CMS should contribute to this effort by supporting taxonomies and custom models, extensible webhooks, and integrations.

The Role of analytics and measurement in AEO

“First page of Google” is still the subject line of many firms spamming inboxes in search of SEO work. AEO requires investing in other targets, such as citation presence and chatbot traffic attribution.

There are also basics like direct and referral traffic, and having a platform like Parse.ly in place will keep you on top of key performance indicators (KPIs) that contribute to both SEO and AEO.

Building for humans, search engines, and AI systems

Excellence in AEO should ultimately look like another example of putting your audience first.

No matter who you’re serving, they’re turning to AI search tools because they want the easiest path to the answers they want and need. Good SEO brings them the links to those answers, and AEO makes sure they can discover how you helped provide those answers. In that sense, they’re two sides of the same coin.

Frequently asked questions