What Is AEO? Getting Cited by AI Answer Engines

AEO, answer engine optimization, is the practice of shaping your content so that AI assistants cite it when they answer a question. When someone asks ChatGPT, Gemini or Perplexity to recommend a face serum or explain a returns policy, AEO is the work of making sure your brand appears in that answer. The same discipline is also called GEO, generative engine optimization, and more loosely AI SEO.

The definition, properly

Classic SEO earns a position on a results page and then competes for the click. AEO earns a citation inside a generated answer. The surfaces are ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, which now sit above the classic results for many queries. These systems do not rank ten links for a human to sort through. They compose one answer and credit a handful of sources. Being one of those sources is the new goal, and it changes what content needs to look like.

How it works

Answer engines draw on two pools, their training data and live retrieval of web pages. You mostly influence the second. What gets a page retrieved and quoted is fairly consistent across engines.

• Answer shaped content. A direct one or two sentence answer at the top of the page, with depth below it. Engines lift the summary and cite the page it came from.
• Structured data. Schema markup for products, FAQs, articles and organisations helps machines parse exactly what the page claims.
• Quotability. Clear, factual, self contained sentences survive summarisation. Vague marketing prose does not.
• llms.txt. A plain text file on your domain that points AI crawlers to your most important pages. Adoption is early and its weight is unproven, but it costs an hour to add.
• Entity clarity. Consistent brand facts across your site, directories and reference sources, so engines are confident about who you are and what you sell.

Commerce brands enter AI shopping answers through structured product feeds, marketplace listings, review corpora and honest comparison content. When an assistant answers a query like best cotton kurtas under two thousand rupees, it leans on product data it can parse and on pages that already compare the options candidly.

Why it matters for an Indian brand

Indian shoppers are adopting AI assistants quickly, often as the first research step before a purchase. The user journey increasingly begins with a question typed to an assistant, not a search box. For D2C brands, landing in an assistant’s shortlist works like an unpaid endorsement delivered to a high intent buyer. Keyword research still matters, but its shape changes. Instead of chasing exact match keywords, you map the questions your category gets asked and answer each one on a dedicated, well structured page.

Common misunderstandings

• AEO replaces SEO. It extends it. Engines retrieve pages that already rank and load fast, so weak SEO usually means weak AEO.
• You can buy your way in. There is no ad auction for citations inside organic AI answers today. You earn them with content and structure.
• Measurement is solved. It is not. You can track assistant referral traffic and run periodic prompt checks across the major assistants, but no console shows your citations reliably. Anyone promising precise AEO metrics is ahead of the tooling.
• An llms.txt file is enough. Files help, content decides. A quotable answer page beats a directive file every single time.

Write pages that answer one question each

List the twenty questions your buyers actually ask, in their words. Publish one page per question, with the direct answer in the first sentence, schema markup underneath, and honest depth below. Keep brand facts consistent everywhere they appear. This is patient Content Writing work rather than a technical trick, and brands that start now build a citation footprint their competitors will have to argue against later.