AEO
Answer Engine Optimization: structuring information so a search or AI system can answer a question quickly, clearly and reliably.
What does GEO mean? When is something a citation? What is the difference between retrieval, a mention and a recommendation? Here we explain the most important terms around AI Visibility, AI Search and AI Shopping in plain English.
Answer Engine Optimization: structuring information so a search or AI system can answer a question quickly, clearly and reliably.
An indication of how strongly and credibly a brand or organisation is confirmed online through its own content, external sources, expertise and consistent entity signals.
Searching through AI systems that collect and summarise information into a direct answer, often including sources or recommendations.
The process in which AI finds, understands, compares and may recommend products based on product data, feeds, reviews, price, availability and other signals.
The extent to which a brand, company, service or product appears in AI-driven search, comparison and decision journeys.
Commerce in which an AI agent performs or prepares steps in the buying process, such as comparing, selecting and potentially purchasing.
Structured data that makes an average rating and review count machine-readable.
A question that already includes your brand name. For example: “What do you know about Brand X?” This measures something different from spontaneous selection.
A source reference. The AI system uses information from a website and cites that website as a source in or alongside its answer.
The degree to which search engines and AI bots can technically reach and read your pages.
A clearly recognisable “thing” for machines, such as an organisation, person, product, brand or location. Clear entity signals help AI understand who or what you are.
Experience, Expertise, Authoritativeness and Trustworthiness. A SEO concept around experience, expertise, authority and trust. It is not a standalone AI ranking factor, but the underlying signals can help build confidence.
How closely product information matches across the product page, structured data and product feed, including title, price, stock, GTIN and variants.
Generative Engine Optimization: optimising information so it is clear, trustworthy and selectable for generative AI systems.
Google’s platform where merchants can submit product data for Shopping and other product experiences.
A standardised product identifier. EAN is a common type of GTIN in Europe. It helps systems recognise and match products more accurately.
A common way to add structured data to a web page without changing the visible page content.
Large Language Model: the type of language model behind many generative AI systems.
A mention means your brand or product appears in the AI answer, but this does not automatically mean you are recommended as the best choice.
Schema.org structured data used to describe a merchant’s return policy in a machine-readable way.
Manufacturer Part Number: a product number assigned by the manufacturer. Alongside GTIN or SKU, it can help with product identification.
An OpenAI crawler that can visit web pages for search functionality. Access can be managed through robots.txt.
A Schema.org type for commercial product information such as price, currency and availability.
A crawler that Perplexity may use to discover and process web content.
A machine-readable file or data channel containing current product information such as title, price, stock, identifiers and images.
Schema.org structured data that describes product properties in a machine-readable format.
The question or instruction a user gives to an AI system.
A recommendation means the AI system does more than mention your company or product: it presents it as a relevant choice.
The first step: your page or domain is found and included in a possible source or candidate set. You do not have to appear visibly in the final answer yet.
A website file that gives crawlers instructions about which areas they may or may not visit.
A shared standard for structured data that lets websites describe information such as organisations, products, offers and reviews in a machine-readable format.
A relative measure of how often your brand appears compared with competitors across an agreed set of questions or scenarios.
Stock Keeping Unit: an internal product code used by a merchant or supplier. Useful for catalogue management, but not the same as a universal GTIN.
Additional machine-readable information in page code that helps systems understand entities such as an organisation, product, price, review or offer.
A question that does not include your brand name. For example: “Which Dutch provider offers a one-time AI Visibility audit?” This is important for measuring spontaneous selection.
A technical protocol concept for commerce between AI systems and merchants, focused on machine-to-machine exchange of product and transaction data.
In AI Shopping, terms such as Product, Offer, GTIN, product feed, Merchant data and feed-to-page consistency matter a great deal. The terms above help you see where AI can and cannot interpret your product data correctly.
Read more about AI Shopping →What your customer sees and reads.
What machines understand explicitly.
Up-to-date catalogue data for product channels.
Whether every source tells the same story.
You do not need to know all the terminology first. The packages below are the same reports and prices as on our Reports page.
Instant technical AI readiness
Compact professional report
In-depth competitor and gap analysis
Maximum depth plus a 90-day plan
AI transparency, clearly checked
The same full Scan for 12 months