What Is Answer Engine Optimization?

The plain version

When someone asks ChatGPT, Google's AI Overviews, Gemini, Claude or Perplexity a question like "which marketing agency specializes in AI search?" the system does not hand back ten links. It writes an answer and names a few companies. Answer Engine Optimization (AEO) is the work of being one of the names, and one of the websites the answer links to.

Josh Popkin's definition, from How Does Answer Engine Optimization Work?: AEO is the process of increasing the likelihood that AI systems retrieve, understand, trust, synthesize and cite your organization's content when answering user questions.

How it differs from SEO

Search Engine Optimization was built to help a page rank on a results page. The reader then chose which link to trust. Answer engines make that choice for the reader and deliver the information directly.

So the target moves. SEO asks: how do we rank higher? AEO asks: how do we become the answer the AI recommends? Rankings still matter, because a page that cannot be found cannot be retrieved. They are no longer enough on their own.

What the answer engines look for

Every model is different, but the signals are consistent. From the beginner's guide:

• Clear expertise within a specific topic
• High-quality, original content
• Strong brand reputation
• Consistent information across the web
• Structured website content
• Trustworthy citations and references
• Positive reviews and public sentiment
• Clear relationships between people, companies, products and ideas

The easier it is for an AI system to work out who you are, what you do and why you are credible, the more likely it is to name you. The four stages a system goes through to get there are laid out in How AI Search Engines Find Information.

How it is measured

AI visibility can be counted. Platforms such as Profound and Peec AI run large sets of real customer questions through the major models and record which brands get mentioned, which sources get cited, and how often.

One client reading from July 2026, a custom home builder in a regional luxury market, shows why the numbers matter more than the theory:

• 17.49% visibility. The brand appeared in roughly one of every six relevant AI answers, fourth in its category.
• First in citation share. When AI systems cited a source about the category, they used this company's website more than any competitor's.
• 32nd on the broad category question. On the most generic query, the brand was effectively invisible.

Those are three different problems. First in citations but fourth in visibility means the site is trusted as a source but not offered as a recommendation, which is a positioning problem. Thirty-second on the broad question means the brand disappears at the start of the customer's search, which is the most valuable moment. Without measurement both look the same from outside: the phone rings less than it should. The full write-up is the home builder case study.

Who does this work

Position Strategy Group is Josh Popkin's AEO firm. Check The Scoreboard is his free public tool: every day it asks ChatGPT the same 50 questions people type when looking for a New York City real estate agent and publishes the answers word for word. Nobody can pay to be listed.