AEO vs SEO: What Is the Difference?

SEO (search engine optimization) gets your page ranked in the list of links a search engine returns. AEO (answer engine optimization) gets your brand named inside the answer itself, in ChatGPT, Gemini, Perplexity or a Google AI Overview, the AI-written summary at the top of some Google results. Keep doing SEO: AEO builds on the same pages and adds a new way to check whether buyers hear your name.

An answer engine is any tool that replies to a question with a written answer instead of a list of links. When a buyer asks for the best running shoes under ₹5,000, the answer may name four brands and cite two review sites. A citation is a link the answer shows as its source. AEO is the work of being one of those brands and one of those cited sites. If the term is new to you, read what AEO is first. The table compares the two.

What is AEO and SEO, and what is the full form of each?

SEO stands for search engine optimization: the work of getting your pages ranked in the list of links Google or Bing returns. AEO stands for answer engine optimization: the work of getting your brand named, and your pages cited, inside AI answers from ChatGPT, Gemini, Perplexity and Google AI Overviews.

The two full forms differ in one word: search or answer. That word tells you where the result shows. SEO wins a place in a results page. AEO wins a mention inside the answer written above or instead of that page.

What is the difference between AEO and SEO?

The difference is the goal and how you measure it. SEO aims for a high ranking and a click, measured by position, impressions and clicks. AEO aims for your brand’s name in the AI answer, measured by how often answers name you, where in the answer, in what tone, and which pages they cite.

In plain terms, the meaning of AEO vs SEO is a ranking versus a mention. Both rest on the same base: pages crawlers can reach, clear answers and a good reputation on other sites. The table above compares goals, metrics, tools and time to see change.

Is AEO replacing SEO?

No. Answer engines lean on the same web that SEO works on. Google picks the supporting links in AI Overviews from its own index: its documentation on AI features (opens in a new tab) says a page must be indexed and eligible to show a snippet, the short text preview under a search result. It also says no special optimization or schema markup is needed on top. Schema markup is code on a page that labels facts such as prices and ratings for search engines. One setting sits on top: Search Console has a Search generative AI control, rolled out to all sites by 31 August 2026. Sites are included by default, and a site its owner excludes does not appear in these features (Google Search Console Help (opens in a new tab), checked 14 Oct 2026).

ChatGPT’s search answers depend on OpenAI’s search crawler. OpenAI’s bot documentation (opens in a new tab) says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers, though they can still appear as plain navigational links. Perplexity runs its own crawler, PerplexityBot, which its bot documentation (opens in a new tab) says is designed to surface and link websites in Perplexity search results (checked 14 Oct 2026). Each of them starts from pages it can fetch, which is the ground SEO already covers. Which search index each AI engine uses maps what each vendor documents.

A ranking alone no longer shows whether buyers see your brand. A page can rank third and still be missing from the AI Overview above the links. A brand with no ranking page can still be named, because a review site mentioned it.

What is SEO called now with AI?

SEO is still SEO. The AI-answer work has picked up several labels: AEO (answer engine optimization), GEO (generative engine optimization), LLM SEO, AI SEO and AI search optimization. They describe close to the same job.

AEO is the label SEO practitioners used first, when answers meant featured snippets, the answer box Google shows above the links, and voice assistants. GEO comes from a research paper by Aggarwal et al. (KDD 2024) (opens in a new tab). LLM SEO is named after the model type: an LLM (large language model) is what powers ChatGPT and Gemini. The three-way comparison lives on AEO vs GEO vs SEO, and each term is defined in the AI search glossary.

Which SEO habits still work for AEO?

Most SEO habits still work for AEO: reachable pages, answer-first writing, trust from other sites and structured data that matches the page. A content AEO audit checks your pages against them, one page type at a time.

• Your pages must be reachable. If Googlebot cannot crawl a page, it cannot rank or appear in an AI Overview. If robots.txt, the file that tells bots what they may crawl, blocks OAI-SearchBot, ChatGPT search answers will not show the page.
• Answer-first writing helps both. A page that answers the question in its first two sentences suits Google’s featured snippet box and gives an answer engine a clean passage to lift.
• Authority still comes from other people. Reviews, press, comparison articles and forum threads build trust with search engines. Answer engines read and cite pages like these too.
• Structured data should match the page. Structured data is the schema markup that labels facts like prices, ratings and opening hours for search engines. Google advises that it match the text visitors see, and says its AI features need no special markup.

What changes when you add AEO to SEO?

The work and the reporting shift from your ranking to your brand’s place in the answer.

• A mention is the new ranking. The unit of success is your brand’s name in the answer. Track visibility, the share of answers that name you, and average position, where you land when the answer lists options.
• Tone counts. An answer can name you and still steer buyers elsewhere. Sentiment tells you whether answers describe you positively, neutrally or negatively, and the quoted sentence shows why.
• Competitors share the answer. Answers often list several brands. Share of voice is your mentions as a share of all tracked brand mentions in those answers, so you see where you stand against each rival.
• The citation list becomes a to-do list. Sites cited when AI recommends your competitors, and never when it names you, are the places to get mentioned. Citation gap analysis finds them.
• One check proves little. The same question asked twice can return a different set of brands, so trends need repeated runs over days.

How do you measure AEO alongside SEO?

Measure SEO in Google Search Console, and measure AEO by tracking AI answers to your buyers’ questions over time. Search Console reports impressions, clicks and position, and Google counts AI Overview and AI Mode appearances inside the Web search numbers there (AI features documentation (opens in a new tab), checked 14 Oct 2026). Its Generative AI performance report adds impressions from AI Overviews and AI Mode by page, country and device (Google Search Console Help (opens in a new tab), checked 14 Oct 2026). It does not show which brands an AI Overview named, and it says nothing about ChatGPT, Gemini or Perplexity.

For AEO, pick 20 to 40 questions your buyers ask, with no brand names in them, and track the answers over time. These tracked questions are called prompts. Prompts that already contain your name inflate the score, so Depra AI leaves them out of the count by default.

Depra AI’s visibility tracking runs your prompts on ChatGPT with web search, Gemini, Perplexity and Google AI Overviews every day on every plan, asked from inside your chosen country, and stores every full answer. Enterprise adds every other major AI engine, such as Claude, Microsoft Copilot, DeepSeek, Google AI Mode and Grok. The Google AI Overview tracker also records whether an Overview appeared for your query at all.

Before you choose a tracker, what AI visibility tools cost compares published starting prices. The Depra AI case study shows this tracking applied to Depra AI’s own brand.

How do AEO and SEO differ for one Indian buyer question?

For SEO, an Indian buyer question needs a page that ranks for it. For AEO, it needs your brand named in the AI answer, and that list of brands can change with the language. Here is a buying question from our study, in English: “I want to buy a sunscreen that doesn’t leave a white cast on Indian skin. Which one is best?” In Hinglish, which is Hindi and English typed in English letters, the buyer asks the same thing in a mix of the two languages.

Our Hinglish vs English study read 480 answers to 10 buying questions asked from India in August 2026. In that wave, the overlap in brands named on Perplexity was 23.4 points lower across languages than between two runs in the same language. On ChatGPT the same gap was 2.2 points. Gemini cited sources in 90.0% of English answers and 41.3% of Hinglish ones. In the October 2026 re-run (479 answers), the Perplexity gap was 28.2 points and the ChatGPT gap 0.8 points, and Gemini cited sources in 73.4% of English and 56.3% of Hinglish answers.

Depra AI suggests a Hinglish version of each question when India is one of your markets, on every plan, and your report shows the split, so you can see whether Hinglish buyers hear your name.