The New Way Customers Are Finding Businesses

Something has changed in how people search for businesses and services online.

A growing number of buyers, before they open Google, are typing their question into ChatGPT or Perplexity. They are asking things like "who is the best bookkeeper for a small business in Brisbane?" or "what SEO service should I use for my cafe?" and getting a direct answer back.

No list of ten results to scroll through. No ads. Just a recommendation.

Answer Engine Optimisation, or AEO, is the practice of making sure that recommendation is your business.

What Is an Answer Engine?

An answer engine is any AI-powered tool that responds to questions with direct answers rather than a list of search results. The main answer engines in 2026 are:

  • ChatGPT (OpenAI)
  • Perplexity AI
  • Gemini (Google)
  • Claude (Anthropic)
  • Google AI Overviews (within traditional Google search)
  • Microsoft Copilot (Bing with AI)

Each of these works slightly differently, but they all share a common characteristic: they synthesise information from multiple sources and produce a single, confident response. For business-related queries, that response often includes a recommendation.

How Answer Engines Decide What to Recommend

Answer engines do not have a secret ranking algorithm the way Google does. Their recommendations emerge from a combination of factors:

Training data: Large language models like ChatGPT have been trained on enormous amounts of web content. The businesses, products, and services that appear most consistently and authoritatively in that data are more likely to be recommended.

Real-time web retrieval: Many answer engines now include live web search. When a user asks a question, the AI pulls from currently indexed web content. Well-structured, recently published content that directly answers the query is more likely to be extracted and cited.

Entity recognition: AI models are built to recognise entities: businesses, people, places, products. A business with a clear, consistent presence across the web (website, Google Business Profile, directories, reviews, social profiles) is more recognisable as an entity and therefore more confident to recommend.

Content extractability: AI models extract specific answers from content, not just rank pages. Content written with clear headings, direct answers, and structured data (schema markup) is far more likely to be cited than vague, unstructured prose.

What AEO Actually Involves

Unlike traditional SEO, which focuses primarily on your website, AEO covers your entire digital presence. The main components are:

Content Optimisation

Your website content needs to be written so AI models can extract specific, direct answers from it. This means:

  • Answering questions immediately, in the first sentence or paragraph
  • Using H2 and H3 headings that mirror the questions users ask
  • Keeping paragraphs short and focused on a single point
  • Including specific facts, numbers, and named entities

Schema Markup

JSON-LD structured data tells AI systems exactly what type of business you are, where you are located, what services you offer, your reviews, your prices, and more. This makes your content dramatically more extractable and citable.

The most important schema types for small businesses are LocalBusiness, FAQPage, Service, and HowTo.

Entity Building

An entity is the web-wide representation of your business. Building a strong entity means:

  • Complete Google Business Profile with current information
  • Consistent business name, address, and phone number across all directories
  • Business profiles on LinkedIn, Facebook, and industry-specific platforms
  • Reviews mentioning relevant keywords naturally
  • Mentions in local news, industry publications, or directories

The stronger and more consistent your entity, the more confidently AI systems will recommend you.

Regular Content Publishing

AI systems with search capabilities pull from recently indexed content. Publishing fresh, relevant content regularly keeps you visible in real-time AI search results. This is not optional. Businesses that publish consistently will compound their AI visibility over time. Businesses that do not will be invisible.

How AEO Differs From Traditional SEO

Traditional SEO aims to rank your pages in a list of results. AEO aims to get your business cited in a direct answer.

SEO success is measured in rankings and organic traffic. AEO success is measured in AI citations, brand mentions in AI answers, and the quality and volume of leads arriving from AI search channels.

The disciplines overlap significantly. Well-structured content, strong entity signals, and consistent publishing help both. But AEO requires a sharper focus on extractability and entity clarity than traditional SEO does.

Why 2026 Is the Year to Start

Most businesses have not started optimising for answer engines. The ones that start now are establishing presence in a channel that most competitors have not discovered yet.

AI search is growing fast. It is attracting high-intent buyers who are already deep in the research process and who trust AI recommendations because they feel vetted and authoritative. Once an AI model develops a strong association between a query and a specific business, that association compounds over time as more content is published and more mentions accumulate.

The competitive window for first movers is open right now. It will not be open for long.