AEO or SEO: the real difference (and why it is not one or the other)
AEO optimises to be cited by AI, SEO to rank on Google. What overlaps, what differs, and how the two work together.
AEO or SEO: the real difference
SEO optimises your site to appear in a list of links on Google, AEO optimises it to be cited in the generated answer of an LLM (ChatGPT, Perplexity, Claude, Google AI Overviews). Many foundations overlap: quality content, clear structure, perceived authority. But the signals that matter most differ, and it is not an exclusive choice. You do not give up SEO to do AEO. You add a calibration layer on a common base. A site that ranks well on Google starts with a head start to be cited by AI, because these engines rely in part on the existing organic ranking. Here is where the two disciplines meet, where they diverge, and why pitting them against each other would make you lose on both fronts.
SEO and AEO in one table
The difference lies mainly in the surface targeted and in the signals that weigh most. The table below summarises the five axes that count.
| Axis | SEO | AEO |
|---|---|---|
| Goal | Rank in Google results | Be cited in the generated answer of an LLM |
| Surface | List of blue links (SERP) | Body of the AI answer, with or without a link |
| Dominant signals | Backlinks, keyword intent, domain authority | Answer-first format, schema markup, external authority (earned media) |
| Measurement | Average position, clicks, impressions | Share of citation, mention frequency per query |
| Content format | Keyword-optimised page, topical depth | Direct answer first, structured questions and answers |
No row in this table sets the two head to head. SEO targets a position, AEO a citation, but the levers overlap largely. What changes is the calibration, not the nature of the work.
What Google says: "AEO is SEO"
Google has a clear position on the subject. In its guide to optimising for AI search (May 2026), Google states in substance that AEO and GEO are SEO: no llms.txt file needed, no special schema required to appear in AI Overviews, the best practices remain those of classic search. For the share of AI visibility that passes through Google, the message is that you do not have to reinvent your method. Useful, technically clean and authoritative content remains the base.
This position is consistent with the citation data. On Google AI Overviews, about 76 % of cited sources come from the organic top 10, according to the analysis of the correlation between AI Overviews and organic ranking. In other words, what already ranks well feeds what Google AI cites. For this specific engine, taking care of your SEO largely amounts to taking care of your AEO. But reducing all of AEO to this single sentence would be a mistake, because Google is not the only answer engine, and the others do not reason like it.
But the citation signals differ
Beyond Google, studies show distinct signals for being cited by an LLM. The answer-first format (direct answer first, development afterwards) and schema markup weigh heavily on Perplexity: the presence of schema.org JSON-LD is associated with a markedly higher top 3 citation rate, and the direct answer first is the number one citation factor on this engine. These signals are not central in classic SEO, where the link profile still dominates the reasoning.
The second gap is the origin of citations. A study published on arXiv in 2025 (reference 2509.08919) measures that between 73 % and 92 % of AI answer engine citations come from third-party sources (earned media: press, directories, comparison sites, communities), and not from the brand's site. SEO teaches you to optimise your pages. AEO also forces you to exist off your site, in what others write about you. The foundation is common, the calibration differs: more emphasis on answer structure, markup and external authority. We detail the origin of citations in our analysis of the sources ChatGPT cites.
What overlaps
A large part of the work is common to both disciplines, and that is good news. The foundations you lay for SEO directly serve AEO.
- E-E-A-T: experience, expertise, authoritativeness, trustworthiness. These Google quality criteria also feed the confidence an LLM grants your content. An identified author, cited sources, an up-to-date page count in both cases.
- Useful, deep content: content that truly answers a question ranks better and gets cited more. Topical depth is valued by both.
- Clean technique: speed, indexability, readable HTML structure, structured data. A site a crawler reads poorly is invisible on both sides.
- Authority: the perception of your credibility, fed by external mentions and links, serves Google ranking and the probability of AI citation.
If you have already invested in these four pillars, you do not have to start from scratch for AEO. You build on top.
What differs
The gaps are real and concentrated on three points. Ignoring them amounts to doing SEO while believing you are doing AEO.
- Answer-first versus keyword logic: SEO structures a page around a target keyword and its variants. AEO structures content around real questions, with a direct, self-contained answer at the head of each section, so the model can extract it as is.
- Citation versus position: SEO targets a place in a list. AEO targets a mention in a generated text, sometimes without a clickable link. Being cited without being clicked has value in AEO, not in SEO.
- Measurement by share of citation versus ranking: SEO is measured in average position, clicks and impressions. AEO is measured in share of citation, that is the frequency at which you are named in answers on your target queries, recorded with dated screenshots. Understanding why your site alone is not enough to be cited clarifies this gap: we explain it in why your business does not appear in ChatGPT.
Do not oppose them: a sound SEO base accelerates AEO
The conclusion is not to choose, but to stack. A sound SEO base accelerates AEO, because answer engines rely in large part on the existing organic ranking. On ChatGPT, about 87 % of citations correspond to the Bing top 10, according to the Seer Interactive study (2024). On Google AI Overviews, about 76 % of sources come from the organic top 10, according to the AI Overviews / organic ranking correlation analysis. In both cases, already ranking well is a launchpad toward AI citation.
Pitting SEO against AEO would make you lose on both fronts. The right reflex is to keep a clean SEO as a foundation, then add the AEO layer: answer-first format, schema markup, external authority, and a measurement by share of citation in addition to ranking. We sell no citation guarantee: no one outside the model publishers controls the final output, and the figures above are averages that vary by engine and query. What we work on is the probability of being cited, measured every month. Our AI visibility diagnosis measures where you stand, for free.
Frequently asked questions
Do you have to choose between AEO and SEO?
No. These are not two competing strategies but two layers of the same visibility work. SEO optimises to rank in Google links, AEO to be cited in an LLM answer, and the foundations overlap largely (useful content, structure, clean technique, authority). Choosing one while abandoning the other would make you lose on both sides, especially since AI engines rely on organic ranking: about 76 % of Google AI Overviews sources come from the organic top 10 (AI Overviews / organic ranking correlation analysis) and about 87 % of ChatGPT citations correspond to the Bing top 10 (Seer Interactive, 2024).
Is SEO still useful in 2026?
Yes, and it even serves AEO. Google states in its guide to optimising for AI search (May 2026) that AEO and GEO are SEO: no llms.txt, no special schema required for AI Overviews. The data confirms that organic ranking feeds AI citation: about 76 % of AI Overviews sources come from the organic top 10. SEO therefore remains a foundation, not a legacy to abandon.
Does AEO replace SEO?
No, it adds on top. AEO does not remove the need for good search ranking, it adds a calibration: answer-first format, schema markup, external authority, measurement by share of citation. Studies show distinct signals for being cited (answer-first and schema weigh heavily on Perplexity, and 73 to 92 % of AI citations come from third-party sources according to arXiv 2509.08919, 2025), but these signals sit on an SEO base, they do not replace it.
Which one should you start with?
Start with a sound SEO base: useful and deep content, clean technique, indexability, authority signals (E-E-A-T). It is the foundation common to both disciplines, and it is already a ramp toward AI citation, since answer engines rely in large part on the existing organic ranking. Once this base is in place, add the AEO layer: restructure into answer-first, lay the schema markup, work on your external authority, and measure your share of citation in addition to your ranking.