AEO vs SEO: the real difference, and one page that serves both

You have a page that ranks on page one, and a client or boss asks why it does not show up when they ask ChatGPT the same question. Or you keep seeing "AEO" and "GEO" on LinkedIn and wonder whether everything you learned about SEO is now out of date.

Short version: it is not out of date. AEO is built on top of SEO, not beside it. But there is one real difference, and it changes how you write each section of a page. This guide covers what that difference is, what the data says, which popular AEO tactics Google has now called myths, and a template for one page that serves both.

What is the difference between AEO and SEO?

SEO earns your page a ranked link. AEO earns your content a quote or citation inside an AI answer. That is the whole difference in one line, and both depend on the same foundation.

Two plain definitions first:

• SEO (search engine optimization) is making pages that search engines can crawl, index and rank, so people click through from the results.
• AEO (answer engine optimization) is making content that AI answer tools, such as Google AI Overviews and AI Mode, ChatGPT, Perplexity and Gemini, can pull out and cite when they write a reply.

A top reply in the r/DigitalMarketing thread that ranks first for this keyword put it most bluntly: "AEO is SEO. LLMs do not rank content." Another reply in the same thread gave the useful nuance: SEO optimizes for ranking signals, while AEO optimizes for extraction, meaning whether an AI tool can lift a clean, self-contained answer from your page without the context around it.

How do AEO and SEO compare side by side?

The goals and the metrics differ; the inputs mostly do not. Here is the comparison in one table.

The last row matters. Pew Research Center found that Google users clicked a traditional result about 8% of the time when an AI summary appeared, against 15% without one (July 2025). So AEO is partly defensive: if an answer is going to be written anyway, you want it to be yours, with your name on it.

Why does SEO still come first?

Because AI answer tools mostly find pages through a search index before they quote them. If your page does not rank, it is rarely even considered.

Ahrefs analysed 1.4 million ChatGPT prompts and found:

• About 50% of the URLs ChatGPT retrieved were cited in the final answer.
• URLs that came through its search channel were cited 88.46% of the time, against 1.93% for Reddit URLs.
• Cited pages had titles closer to the prompt (a similarity score of 0.602 against 0.484 for pages that were not cited).
• Search results with natural language URL slugs were cited 89.78% of the time, against 81.11% without.
• The median cited search page was about 500 days old, so freshness is not everything.

In plain terms: title, URL and ranking do the gatekeeping before the model reads a word of your body text. That is classic SEO work.

Google's own guide on generative AI features says the same. It tells site owners to keep "prioritizing foundational SEO best practices" and notes a page "must be indexed and eligible to be shown in Google Search with a snippet" to appear in its AI features. One r/aeo reply summed it up as SEO being "the qualifying round." A top r/SEO comment on Google's guide was shorter: "So do all the stuff we've been doing since penguin/panda."

So what actually differs?

The writing unit. SEO lets you build a page for a reader scrolling top to bottom. AEO asks that every section still make sense when it is lifted out alone, because an AI answer quotes a passage, not a page.

Practically, three habits separate pages that get quoted from pages that only rank:

1. The first sentence under each heading answers the heading. No warm-up. A reply in r/DigitalMarketing described the shift as writing "each H2 as if it was the only thing the AI would ever see."
2. Claims carry their own proof. "Ahrefs found 88.46% of search channel URLs were cited" can be quoted. "Studies show most get cited" cannot.
3. Your brand appears off your own site. AI answers that recommend businesses lean on what others say: reviews, forum threads, comparison pages. One software founder in r/aeo said new customers were increasingly telling them they found the product through an AI agent, and they had moved budget from ads into rewriting content.

Watch out: Google's guide explicitly says you do not need to write "in a specific way just for generative AI search." Answer-first writing is good writing for humans too. If a change makes the page worse for a person, do not make it for a bot.

How do you build one page that serves both?

Write a normal, genuinely useful page, then make each section quotable. Here is the order that works, using this exact article as the worked example.

1. Pick one question per page. Check the live results and the People Also Ask box. For this keyword, PAA showed "Which is better, SEO or AEO?" and "Is AEO replacing SEO?", so both became sections and FAQ items.
2. Write a title and URL that match the question in plain words. Ahrefs saw title similarity and readable slugs correlate with citations. This page lives at /blog/aeo-vs-seo-difference.
3. Open with a 2 to 4 sentence answer. It should answer the whole query if nothing else is read. The summary box at the top of this page is that answer.
4. Make headings the questions people ask, and answer each in the first one or two sentences.
5. Add one table and one numbered list. Tables and steps are easy for both readers and models to scan.
6. Put a number and a named source in every key claim, and link the source.
7. Add a visible FAQ of 5 to 8 real questions with 40 to 80 word answers. Each answer should stand alone.
8. Add something nobody else has: your own numbers, a template, a test you ran. Google calls this "non-commodity content", and it is what earns links, which feeds both SEO and AEO.

The section template

## [The question, in the reader's words]

[One or two sentence direct answer, with a number if there is one.]

[Detail: why, how, the example with arithmetic.]

[Source named inline, linked.]

> Tip or Watch out: [one practical caveat]

The pre-publish check

• Does the first paragraph answer the query on its own?
• Could each section be pasted into a chat reply and still make sense?
• Does every stat have a named, linked source?
• Is the page indexed, with a title and slug that match the question?
• Is there at least one thing on the page that a competitor could not copy from the top 10?

The Faceless AI Marketing pack turns this into a full checklist you can run on any page, alongside the outreach and Reddit methods that get your brand mentioned off site.

Which AEO tactics can you skip?

Most of the "hacks." In 2026 Google published a list of AEO and GEO ideas you can ignore for Google Search, and practitioners in r/SEO greeted it with something close to relief.

The data backs this up. Ahrefs looked at 137,000 domains and found 97% of llms.txt files received zero traffic in May 2026. Google also warns that no third-party tool has access to its internal ranking or AI systems, so treat any "AI ranking score" with care.

Note the scope: this guide covers Google. ChatGPT and Perplexity have not published equivalent rules, but the Ahrefs data suggests they also lean heavily on search results.

How do you measure AEO next to SEO?

Keep your SEO metrics and add three cheap AEO checks. Exact AEO tracking is still rough because AI answers change between runs.

1. Search Console's generative AI performance report. Google has been rolling out reports showing impressions inside AI Overviews and AI Mode, starting with a subset of sites.
2. A monthly manual check. Ask ChatGPT, Perplexity and Google AI Mode your 10 to 20 target questions. Record who gets cited. Look for trends over months, not one run.
3. Ask customers. Add "How did you find us?" to your signup or checkout. If "ChatGPT told me" starts showing up, your AEO is working.
4. Watch branded search. People often discover a brand in an AI answer, then search its name on Google. Rising branded queries are a signal.

What mistakes do people make with AEO?

The common ones come from treating AEO as a separate project.

• Paying for "AEO" that is really rebranded SEO. An r/SEO commenter asked whether the industry would educate clients or simply "rebrand to GEO." Both are happening. Ask any agency what they will do that is not standard SEO.
• Optimizing pages that do not rank. If a page is not indexed or sits on page five, formatting will not get it cited.
• Chasing hacks over content. llms.txt, chunking and prompt tricks eat hours. Google's guide lists them as unnecessary.
• Writing vague, unsourced claims. A model cannot attribute "many experts say." It can attribute "Pew found 8% against 15%."
• Ignoring the click problem. One r/SEO commenter complained that ChatGPT was "feasting" on their site while sending few clicks. Give readers a reason to click through: a template, a calculator, a full checklist the answer box cannot hold.
• Fabricating stats with AI. A content agency owner in r/SEO described models inventing reports and URLs. One fake stat can cost you trust with readers and clients. Check every number by hand.

Should a beginner focus on AEO or SEO first?

SEO first, written in AEO style from day one. There is no separate starting point.

If you are new, this is the order:

1. Set up Google Search Console and get your pages indexed.
2. Pick 5 to 10 questions your buyers ask. Reddit threads and People Also Ask are the best source.
3. Write one answer-first page per question, using the section template above.
4. Earn mentions off site by being useful where buyers talk. Our guide to faceless marketing ideas for beginners covers Reddit replies and other low-cost channels, and cold email vs a one page audit shows how to get links and clients with outreach.
5. Check rankings and AI citations monthly, and update the pages that are close.

Results take months, not weeks, and they vary by niche and competition. Nobody can promise you a citation in ChatGPT.

Where to go from here

1. Pick your one most important page and rewrite each section so the first sentence answers the heading.
2. Add a named source and a number to every key claim.
3. Add a 5 to 8 question FAQ from real questions.
4. Drop any plans for llms.txt or AI-only rewrites.
5. Run the monthly AI citation check and ask customers how they found you.

The Faceless AI Marketing pack gives you the full system for $19: 23 lessons across 6 modules covering SEO, Reddit, outreach and email, with the page checklist, audit template and outreach scripts this article only summarizes. All 16 Money Printer packs are $39 together.