SEO & GEO

Answer Engine Optimization for online stores

Answer Engine Optimization is the work of making your store the direct answer an engine returns when a shopper asks a question. It is the answer side of our AI search visibility service.

Dubai based. Working on Shopify, WordPress and custom-built stores.

An AI assistant open on a monitor

Answer Engine Optimization, in plain terms

Answer Engine Optimization is the work of making your products the source an AI answer engine cites, so when a shopper asks ChatGPT, Perplexity or Google AI Overviews what to buy, your online store is named. It is a new, still-forming field: what we do is documented to move AI answers, not a promised placement.

It is a weaker fit if your product catalogue is thin or incomplete, because the work starts from the product data you already have. We will tell you that on the first call rather than after you have paid.

You can see the full scope before you talk to us.

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What an AI answer engine reads before it recommends a product

  • Labelled product packaging ready to ship 01The product data AI systems read Before an AI shopping system recommends anything, it reads the structured product data it can parse. Google Merchant Center is one place that data lives, and if you sell on Shopify, the feed and catalogue layer is where the work begins, which is the job of product feed optimization.
  • A phone showing an online store 02The fields the specification names The required fields are title, description, price and availability. The recommended ones are q_and_a and reviews, and popularity_score and return_rate are optional performance signals.
  • Writing notes at a desk 03The information that earns the citation Getting into the feed is not the whole job. AI answers tend to cite content that adds something checkable: original data, clear answers and sources of its own, which is what people call information gain.
  • Packing orders for an online store 04What the research found A 2023 study on generative-engine optimization found that adding quotations, statistics and cited sources raised how often a page was included in AI answers, while keyword stuffing did worse than doing nothing.

What an Answer Engine Optimization project involves

  1. 01DiscoveryWhat ChatGPT, Perplexity and Google AI Overviews say about your store and your category today, and where the product data falls short.
  2. 02StrategiseWhich fixes are documented to matter for your catalogue, and in what order.
  3. 03ExecuteThe feed and catalogue work, the content that adds something checkable, and the off-site presence on the sources those answers cite.
  4. 04OptimiseMeasure with a named AI-visibility tool, report what moved, and say so when a lever does not exist.

Half of this work sits on your own store and half on third-party places you do not own, which is why Google's AI Overview for this term, read on 20 August 2026, cites a Reddit thread as its first source.

Reviewing the current site and setting a baseline Planning the search and AI answer targets Shipping the technical, content and product data work Measuring the result and adjusting to it

When you want to know where your own store stands, that is what the audit is for.

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What we show, and what we commit to

  • The methodWe work the levers that are documented to influence AI answers, in a set order, and we show our working.
  • The measurementWe track AI citations and mentions with a named AI-visibility tool, so movement is measured, not asserted.
  • The reportingYou get a report you can check, including the levers that did not move.
  • The account leadYou work with a named person on the account, not an account desk.

This page states capability and method, and shows its working.

Questions we get asked

Get your answer-engine baseline

A scoped first step with no lock-in, so you see which questions ChatGPT and Perplexity answer with your store, and which they answer without it, whether or not you work with us.

Request your free AI audit