Answer engine optimization (AEO)
Improving content so answer engines can understand, trust, and use it.
What is Answer engine optimization (AEO)?
AEO focuses on becoming a reliable input to direct answers. It usually involves clear information architecture, direct explanations, verifiable claims, structured data, strong entities, and useful original evidence. It overlaps with SEO, but the desired result can be a citation or recommendation inside an answer rather than a traditional blue-link click.
A software company publishes a transparent comparison page with pricing, limitations, and primary research that an answer engine can cite.
Why it matters for AI visibility
AI answers can shape awareness and buying decisions before a person visits a website. Understanding answer engine optimization (aeo) helps teams connect what a model says with the prompts, sources, and technical signals that influenced the result. The useful next step is to observe the evidence, compare it over time, and act on the specific gap.
How to measure or use it
- Define the scope. Choose the relevant market, prompts, models, locations, and time window.
- Keep the evidence. Save the complete answer, its citations, and the page or claim being evaluated.
- Compare patterns. Look for repeated movement across prompts and models instead of reacting to one response.
- Take a specific action. Improve the owned page, correct a claim, earn third-party inclusion, or create better evidence.