SEO vs AEO vs GEO: what's actually different, and what to do about it

Three acronyms, one anxious question: is the way we’ve earned visibility for twenty years still working? The honest answer is “mostly, with important changes”. This playbook separates the substance from the rebranding and ends with a plan that covers all three.

The short version

	SEO	AEO	GEO
Goal	Rank and earn clicks	Be the direct answer	Be cited or mentioned in AI-generated answers
Where	Search results pages	Featured answers, voice and assistants	ChatGPT, Perplexity, Gemini, Google AI Overviews and AI Mode
Success looks like	Rankings, organic traffic, conversions	Answer ownership for key questions	Citation and mention rate across a prompt set
Main lever	Relevance, quality, links, technical health	Clear, direct, well-structured answers	Evidence, sources and being worth citing

In practice AEO and GEO are used almost interchangeably, and both sit on top of SEO rather than replacing it.

Why everyone is suddenly talking about this

Three verified data points explain the urgency:

• Clicks fall when AI summaries appear. Pew Research found that users who saw an AI summary clicked a traditional search result in 8% of visits, against 15% for visits without one.
• The top result loses most. Ahrefs’ February 2026 update found that an AI Overview correlates with a 58% lower average click-through rate for the top-ranking page (300,000 keywords, December 2023 vs December 2025).
• The audience is huge. Google reported that AI Overviews had over 2 billion monthly users across more than 200 countries and territories (Q2 2025).

Gartner predicted in 2024 that traditional search engine volume would drop 25% by 2026. That’s a prediction, not a measured result; treat it as a direction of travel, not a fact about your traffic.

What Google itself says

This is the most useful and least quoted source in the whole debate. Google’s documentation on AI features states:

“There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.”

Pages are eligible as supporting links if they’re indexed and eligible to be shown with a snippet. Google’s guidance for succeeding in AI search is to focus on “unique, non-commodity content that visitors from Search and your own readers will find helpful and satisfying.”

So for Google’s AI features, the foundation is still SEO done well. Anyone selling a secret AI Overviews hack is selling something Google says doesn’t exist.

What the research says about generative engines

The most cited academic work is GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024). On its 10,000-query benchmark:

• Methods that added citations to sources, quotations and statistics improved visibility in generative answers by roughly 30–40% relative to the baseline.
• Keyword-stuffing-style methods offered little to no improvement.
• Lower-ranked sites benefited more than top-ranked ones.

Two caveats matter. It’s a research benchmark, not a guarantee about any live engine. And engines change often. Still, the direction is clear and matches Google’s guidance: evidence and substance beat tricks.

What genuinely changes in practice

If the foundations are the same, what should you do differently?

1. Answer first. Put a direct, self-contained answer near the top of the page. Both people and AI systems extract it.
2. Show your sources. Cite primary sources inline, with dates. This is the strongest lever in the research and builds trust with readers too.
3. Be quotable. Use precise statistics, definitions and named frameworks that can be lifted accurately.
4. Structure for extraction. Clear headings, short sections, tables for comparisons and FAQs for real questions.
5. Keep facts current. AI answers repeat stale claims. A content audit with a “still true?” gate matters more than ever.
6. Earn mentions off your site. AI answers draw on reviews, communities, news and video, not just your pages. That’s PR, social and advocacy work.
7. Measure differently. Track how often you appear across a defined set of prompts, not a single rank. See AI share of voice.

What hasn’t changed

• Pages must be crawlable, indexable and fast.
• Thin content written only to target a keyword still fails, and is now even less likely to be cited.
• Expertise, original data and real experience still win.
• Using AI to mass-produce pages “without adding value for users may violate Google’s spam policy on scaled content abuse,” in Google’s own words.

A plan that covers all three

Month 1: Foundations

• Audit your 50 most important pages with the six-gate method.
• Fix technical blockers, including crawler access for AI search bots you want to appear in.
• Write the list of 30–50 questions your buyers actually ask.

Month 2: Answer-ready content

• For each question, make sure one page answers it directly, with sources and a date.
• Add comparison tables and FAQs where people are really comparing or asking.
• Refresh outdated claims first; they’re the quickest wins.

Month 3: Beyond your site, and measurement

• Identify the third-party sources AI answers cite in your category, and plan PR, community and expert content to be present there.
• Set up repeated measurement of your question set across the engines that matter to you.
• Recheck what changed and feed it into the next round.

That loop — find the question, research what’s true, prepare sourced work, get it approved, recheck — is the same whether you call it SEO, AEO or GEO.