AEO vs SEO is not a choice between two things. SEO is the work of earning visibility in search results. Answer engine optimization (AEO) is the work of getting AI engines to name your brand in their answers. SEO stays the base, and AEO adds a way to measure and improve how the AI answer itself describes you.
This guide compares the two side by side, covers what stays the same, and shows what you need to measure that SEO tools do not report.
What is the difference between AEO and SEO?
| Item | SEO | AEO |
|---|---|---|
| Goal | Rank a page for a search | Be named in an AI answer |
| Unit of work | A keyword | A prompt, which is a full question |
| What the buyer sees | A list of links | A written answer naming a few brands |
| Main measures | Rankings, impressions, clicks | Visibility, share of voice, position, sentiment, citations |
| How the result behaves | Changes gradually | Can differ from one check to the next |
| Where you look | Search Console, rank trackers | Repeated checks of the AI engines themselves |
The short version: SEO asks "does my page rank?" AEO asks "does the answer name me, and what does it say?"
What stays the same?
Most of the foundations. Google states that there are no additional requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible to show in Search with a snippet (Google Search Central, "AI features and your website"). Google's own guidance for succeeding in its AI experiences repeats familiar advice: create unique, valuable content for people, make sure Google can access your content, keep structured data consistent with the visible page, and provide a good page experience (Google Search Central blog, May 2025).
In practice that means the SEO work you already do still counts:
- Pages that can be crawled and indexed
- Clear headings and plain-language answers
- Accurate, current facts
- Internal links that help engines understand how your pages relate
- A good experience for visitors who arrive
If your SEO base is weak, fix that first. AEO does not work around it.
What changes with AEO?
The unit is a question, not a keyword
Buyers ask AI engines full questions, often with context: "what's the cheapest payroll software for a café with 12 staff?" A keyword like "payroll software" does not capture that. AEO tracks prompts, which are complete questions in a buyer's words. See How to choose the prompts to track.
The output is a written answer
A rank is a position on a list. An AI answer is generated text that may name two or three brands, describe each, and cite sources. You care about whether you are named, how you are described and which sources the engine leaned on.
The answer can change between runs
OpenAI's documentation notes that model output is non-deterministic (OpenAI, text generation guide). A study from SparkToro and Gumshoe.ai, published in January 2026 and not peer reviewed, found that repeated runs of the same brand-recommendation prompt almost never returned an identical list (SparkToro). The practical lesson is to measure across many checks over time and not to trust a single answer. AI visibility metrics shows which numbers hold up best.
Your analytics will not show the answer
Google says sites that appear in AI Overviews and AI Mode are counted in overall Search traffic and shown in the Performance report under the Web search type, not reported separately (Google Search Central). Search Console therefore cannot tell you what the answer said about you or which rivals it named. That is the gap AEO measurement fills.
The sources matter as much as your own site
An AI answer is often assembled from several sources, including reviews, comparison pages and forums. If those sources cite your rivals and never you, your own pages may not be enough. See AI citation gaps.
Does AEO replace SEO?
No. AI answers are built on top of the web that search engines already crawl, so SEO fundamentals remain the foundation. AEO adds a measurement layer and a few extra priorities, such as which third-party sources describe you and how engines word the answer.
Do you need special markup or files for AEO?
Google says there is no special schema.org structured data to add for its AI features, and no need for new machine-readable files or AI text files to appear in them (Google Search Central). The proposed llms.txt file is one example of such a file, covered in Do you need an llms.txt file?. What does matter is access: make sure the crawlers you want can read your pages. See Can AI crawlers read your site?
How do you run SEO and AEO together?
- Keep your SEO workflow. Keep tracking rankings, clicks and technical health.
- Add AEO prompts. Turn your best commercial keywords into the questions buyers ask. A keyword like "payroll software for restaurants" becomes "what payroll software works for a restaurant with tipped staff?"
- Check every engine daily. Record whether you are named, where, and how you are described. How to track your brand in AI answers covers the process.
- Share the fixes. Many improvements help both: clearer pages, current facts, better internal linking and stronger third-party coverage.
- Report the two side by side. Rankings tell you how you do in the list. AEO numbers tell you how you do in the answer.
Measure the AEO side with Verte
Verte covers the part SEO tools do not: it checks ChatGPT, Gemini, Google AI Overviews and Google AI Mode every day and shows whether each one names your brand, with results arriving each morning. See AI visibility tracking and the site audit for what AI crawlers can reach on your site.
Start tracking your business or start as an agency. See current plans.