What is answer-engine optimization (AEO)?

For twenty years, the goal was simple: rank on the first page of Google. You optimized a page, you earned links, you climbed the list, and you waited for the click.

That game is changing. When a buyer asks ChatGPT, Gemini, or Perplexity “what is the best LLM gateway,” they do not get ten blue links. They get one answer. A short, confident recommendation that names two or three products and moves on. If you are not in that answer, you are not in the consideration set, and you will never see it happen in your analytics.

Answer-engine optimization (AEO) is the practice of making sure AI answer engines describe and cite your brand accurately when buyers ask about your category. It is to ChatGPT and Perplexity what SEO was to Google.

Why AEO is not just SEO with a new name

SEO and AEO share DNA, but the surface is different in three ways that matter.

• The output is an answer, not a list. Ranking eighth out of ten links still gets you a sliver of traffic. Being the brand the AI does not mention gets you nothing. The distribution is winner-take-most.
• The citation logic is different. Answer engines synthesize from sources they trust, structured content they can parse, and signals of authority that are not the same as classic backlinks. Being crawlable and being citable are not the same thing.
• You cannot see it in your own tools. Google Search Console shows your impressions. Nothing in your stack shows you the moment Perplexity recommended a competitor instead of you for your highest-intent query.

The three questions AEO answers

Good AEO comes down to knowing, for the prompts your buyers actually ask:

1. Are you named? Does the AI mention your brand at all when it answers questions in your category?
2. In what company? Which competitors show up next to you, or instead of you, and how often?
3. Why? What is the AI citing, and what would it take to earn the citation you are missing?

You cannot improve what you cannot see. The first step in AEO is not a content sprint. It is measurement: capturing the real answers, judging whether you appear, and tracking how that changes over time.

How to start

You do not need to install anything to begin. Pick the ten questions a buyer would ask an AI before they would ever reach your site. Run them through the major engines. Read the answers honestly and mark, for each one, whether you are named and who is named instead.

That list is your AEO baseline. Most teams are surprised, and not in a good way, by how often the AI shortlists a competitor for a question they thought they owned.

Sonarvue does this continuously: it pings the engines on your cadence, judges every answer, and turns each gap into a concrete fix. But the discipline starts the moment you decide to look. The brands that win the answer will be the ones who measured it first.