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How to Rank on Answer Engines: 7 Most Effective Tactics

Awareness, traffic, and sales are a by-product of answer engine optimization. Learn to rank on answer engines from ChatGPT to Perplexity to Gemini.

Key takeaways:

  • What are answer engines and how do they function? Answer engines such as ChatGPT, Perplexity, and Gemini generate answers using their training data and/or live internet data from a search engine (Google, Bing, etc.).
  • Does answer engine optimization mean that traditional SEO is no longer relevant? If your website ranks well on traditional search engines, your chances of being mentioned in AI answers are very high. There is no differentiation with Bing and ChatGPT Search, or with Google First Page and AI Overviews. This makes traditional SEO the most important aspect of answer engine optimization.
  • What is the impact of answer engines on content strategy? Businesses are required to have high-quality content that is data-centric, well-researched, well-formatted, easy to read, relevant, and supported with graphics and videos. Businesses should move away from generic content and Ai-generated content.
  • What is the impact of third-party sites and third-party reviews on answer engines? Answer engines cite third-party ranking and review sites, which makes it important to list your business on Google Business Profile, review sites, and sites related to your industry. It is also important to respond to reviews.
  • How can businesses track their Answer Engine visibility? Businesses have the option to track citations through an Excel document or utilize specific tools to define their ranking in ChatGPT, Gemini, Perplexity, Microsoft Copilot, Apple Intelligence, and Meta AI.

How to rank on answer engines

Pulling from actual campaign work, this is what truly works:

Understand answer engines

SEO doesn’t begin the moment you hit “publish” on your website, rather it begins the moment you gain insight to how search engines function. The same strategy can be used to answer engine optimization.

At the most granular level, answer engines formulate responses from two different sources:

Answer source About
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Training data
The knowledge base an answer engine like ChatGPT or Claude was trained on — often a mix of third-party data, internet data up to a certain date, and internal data.
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Internet data
A live feed of current information pulled from the web, typically via a search index like Google's or Bing's. Most answer engines require search functionality to be enabled to use this.