SEO vs AEO vs GEO: What Actually Changed

SEO, AEO and GEO are not three competing disciplines. They are three answers to three different questions: can a machine reach your page, can it lift a passage out of it, and does it trust you enough to name you. Most teams are sold all three as separate services when the honest answer is that one of them is a prerequisite and the other two are the same job described from different ends.

Key takeaways

• Google's official position is that there is only one discipline. Its documentation states that optimizing for generative AI search "is optimizing for the search experience, and thus still SEO," and tells site owners to "prioritize effective SEO strategies over 'AEO/GEO hacks'."
• The data says that position is incomplete. Only 12% of URLs cited by AI assistants rank in Google's top 10 for the original prompt, across 15,000 long-tail queries.
• The overlap is shrinking fast even inside Google. AI Overview citations coming from the organic top 10 fell from 76.1% in July 2025 to 38% by March 2026.
• Only one of the three has a peer-reviewed evidence base. GEO was defined in a KDD 2024 paper that measured its techniques; AEO has no equivalent founding study.
• The budget question has a clear answer. Fix crawling and indexing first — nothing downstream works without it — then spend on evidence, not on tactics.

What do SEO, AEO and GEO actually mean?

SEO wins a position, AEO wins a quotation, GEO wins a recommendation. That is the shortest accurate summary. In more detail:

That last row is the one nobody puts in the comparison table, and it is the most useful. GEO comes from "GEO: Generative Engine Optimization," presented at the 30th ACM SIGKDD conference in August 2024, which reported visibility gains "by up to 40%" and released a 10,000-query benchmark to test against. AEO has no comparable founding study. When someone quotes you a GEO statistic there is a paper to check; when they quote an AEO statistic, usually there is not.

Are these three different jobs, or one job with three names?

Google says one job. The citation data says at least two. Both claims deserve to be taken seriously, because they are measuring different things.

Google's guide to generative AI features is unusually blunt for a search engine. It says you do not need to break content into small chunks for AI, do not need to write in a special way for generative search, that "structured data isn't required for generative AI search," and that "seeking inauthentic 'mentions' across the web isn't as helpful as it might seem." The eligibility rule is simply that a page "must be indexed and eligible to be shown in Google Search with a snippet."

That is true — and it only describes Google. Ahrefs ran 15,000 long-tail queries through four assistants and checked whether the URLs they cited ranked in Google's top 10 for the same prompt:

Overall, 12%. Roughly 80% of citations went to pages that rank nowhere in Google for the query being asked. Semrush's study of over 500 digital marketing topics reached the same conclusion from the other direction: ChatGPT cites pages sitting at organic position 21 or below almost 90% of the time.

If SEO fully covered this, those numbers would look completely different.

Is the gap widening or closing?

Widening, including inside Google's own product. In July 2025 Ahrefs found 76.1% of AI Overview citations came from pages already in the organic top 10. Repeating the analysis across 863,000 SERPs and 4 million AI Overview URLs in March 2026, that figure was 38%.

One caveat that most write-ups of this number drop: Ahrefs states it "improved our parsing methodology," so part of the halving is better measurement rather than a pure shift in Google's behaviour. It also credits AI Overviews moving to Gemini 3 in January 2026 and relying more on query fan-out. The direction is well evidenced. The precise size of the drop is not.

What does SEO still do that neither of the others replaces?

Everything that determines whether you are eligible at all. This is not a legacy concern, it is the gate:

• Crawlability and indexability. Google's requirement is explicit — indexed, and snippet-eligible.
• Site architecture and internal linking, which is how a crawler discovers the page in the first place.
• Page performance and rendering, because content that only exists after JavaScript execution is content some crawlers never see.
• Understanding demand, which is what keyword research is actually for.

No amount of quotable prose rescues a page that a crawler cannot fetch. This is why the sequencing question has an unambiguous answer even though the terminology question does not.

What does SEO alone no longer cover?

Three things, and each maps onto a specific measurement:

Extraction. A page can rank and still be unciteable, because the answer to the question is distributed across six paragraphs rather than stated in one. That is the AEO half.

Evidence. Across 75,000 brands, branded web mentions correlated with AI Overview visibility at 0.664, while backlinks managed 0.218. Mentions that carry no link at all outperform the metric SEO has optimized for two decades. That is the GEO half, and it happens on other people's sites.

Coverage. Being visible in one assistant does not carry over to another. The per-platform spread above is not noise; those systems use different indexes and different selection logic.

Which should you work on first?

In this order, and the order is not negotiable:

1. Technical foundations (SEO). Confirm the AI crawlers can reach you and that your pages are indexed and snippet-eligible. Cheap, fast, and every other investment depends on it.
2. Extraction (AEO). Restructure your highest-intent pages so each question is answered in one liftable passage. The KDD experiments found quotations, statistics and citations were the three most effective content changes, at 27.8, 25.9 and 24.9 against a 19.3 baseline.
3. Evidence (GEO). Earn independent coverage and keep your entity description consistent everywhere it appears. Slowest, most expensive, hardest to fake — and the thing with the strongest correlation to being mentioned.

The one tactic to strike from any plan: keyword stuffing scored 17.8 in those same experiments, below the untouched baseline. It is worse than doing nothing.

What does each one actually measure?

Mixing up the metrics is how teams end up reporting failure on work that is succeeding.

Clicks are the wrong denominator for the last two. Pew Research Center found that users seeing an AI summary clicked a traditional result in 8% of visits against 15% without one, and clicked a link inside the summary itself in just 1% — from 68,879 searches by 900 US adults in March 2025. The mention is often the entire outcome.

There is a counterweight on volume, though. Semrush puts the average AI search visitor at 4.4 times as valuable as an average organic visit by conversion rate, and projects AI search may outpace traditional search for digital marketing topics by early 2028. Small traffic, disproportionate value, growing base.

So is "AEO" or "GEO" just SEO rebranded?

Partly yes, and it is worth being honest about which part. The technical layer is unchanged, and any agency selling AI-era crawlability as a novel product is selling you 2012. Google is right about that.

What is genuinely new is that the unit of competition moved from the document to the passage and the entity, and that a large share of the decisive work now happens off your own domain, where classic SEO has no lever. That is a real change in where the budget goes, even if it is not a new profession.

Use whichever label your team already uses. Just make sure the plan behind it covers all three questions.

Frequently asked questions

What is the difference between SEO, AEO and GEO?

SEO optimizes to rank a page, AEO optimizes so a passage can be extracted and quoted, and GEO optimizes so a model has enough evidence to recommend the brand. In practice they overlap heavily and the industry uses the terms loosely.

Does Google recommend AEO or GEO?

No. Google's documentation states that optimizing for generative AI search is "still SEO" and advises prioritizing effective SEO over "AEO/GEO hacks." Its guidance covers Google Search only, not third-party assistants.

Does ranking in Google still get you cited by AI?

Less than it used to. AI Overview citations from the organic top 10 fell from 76.1% in July 2025 to 38% by March 2026, and only 12% of URLs cited by assistants generally rank in Google's top 10 for the original prompt.

Should I stop doing traditional SEO?

No. A page must be indexed and snippet-eligible before it can appear in Google's AI features at all, so technical SEO is the prerequisite for everything else.

Which one gives the fastest results?

The technical layer, by a wide margin — crawler access problems can be fixed in a day. Extraction work surfaces in weeks; the evidence and mentions layer takes quarters.

Do I need three different agencies or tools for this?

No. The three describe one workflow at different altitudes. What you need is a plan that covers eligibility, extraction and evidence, whatever it is called.

Is AEO or GEO the more accepted term?

GEO has the stronger claim, because it was defined in a peer-reviewed paper at KDD 2024. AEO is more common in marketing writing. Neither is standardized, and most sources use them interchangeably.

Where to start

Start with the check that gates everything else: run the crawler checker to confirm the AI crawlers can actually reach your pages, and the meta tags checker to confirm those pages describe themselves correctly. Then pick your metrics deliberately using the AI search KPI framework.

For the detail behind each layer: what answer engine optimization is covers extraction, what generative engine optimization is covers the research and the evidence layer, and how to get cited by AI covers the off-domain work in practice.

Sources

• Google Search Central — optimizing for generative AI features
• Ahrefs — 12% of AI-cited URLs rank in Google's top 10
• Ahrefs — 38% of AI Overview citations pull from the top 10
• Ahrefs — AI Overview brand visibility across 75,000 brands
• GEO: Generative Engine Optimization (KDD 2024)
• Semrush — AI search and SEO traffic study
• Pew Research Center — clicks when an AI summary appears