SEO & GEO

The AI-Search Shift: What Actually Changed, and What Has Not

AI search is changing how people find and shop for products: search engines and assistants now answer and recommend directly instead of only listing blue links.

Written from what Google and OpenAI document, for e-commerce founders in the UAE. No results claimed here, only the evidence.

An AI assistant open on a monitor

What is the AI-search shift, in plain terms?

The AI-search shift is the change from search engines that list links to engines and assistants that answer and recommend directly. Google AI Overviews, AI Mode, and ChatGPT now reply in the results themselves, so fewer searches end in a click, and being the source an AI cites can matter as much as ranking.

Three things are true at once: the shift is real, most of the AI magic sold around it is not, and the UAE evidence today is intent rather than mass behaviour.

How is AI search actually different from the Google you already know?

What does the AI-search shift mean for your store, and what should you do first?

  1. 01Check what AI can read about your productsStart with your product data, for example your Google Merchant Center feed, and confirm it is complete and machine-readable.
  2. 02Make your content answer-first and worth citingAdd original, checkable information rather than more volume; the GEO research links information gain to higher visibility in AI answers, up to 40%.
  3. 03Measure whether AI systems cite youTrack real mentions and citations with a named tool, so you are working from evidence rather than hope.
  4. 04Fix the data layer, not the mythsKeyword stuffing lowered AI visibility by about 8% in the same research, so put the effort into product data and quotable content.

OpenAI publishes a product feed it ingests, so the data layer is the work on Google and on assistants alike.

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

What do Google and OpenAI actually document, versus what agencies sell?

  • Add an llms.txt file so AI can find you.Google says it does not need, and does not use, an llms.txt file.
  • Install custom AI schema to get into AI answers.Google says there is no special schema.org markup to add for AI features.
  • Buy an AI package that rewrites everything for the machines.Google says visibility comes from non-commodity content plus technical fundamentals.
  • These specific feed fields are required by ChatGPT.OpenAI publishes a product feed spec that ChatGPT ingests to show products, so check any such list against the live spec first.

The real work is the documented work, not the myths.

MG Lumeo team meeting a client

What are the numbers behind the AI-search shift, and where do they come from?

  • 18%Share of Google searches that showed an AI Overview, March 2025 (Pew Research Center, United States data).
  • 8% vs 15%A traditional result was clicked in about 8% of visits with an AI summary, versus 15% without (Pew Research Center, 2025, United States data).
  • Up to 40%Information-gain methods raised visibility in AI answers: quotations about +41%, statistics about +31%, cited sources about +28% (GEO paper, arXiv 2311.09735, KDD 2024).
  • 37%UAE shoppers who expect to use AI chat or virtual assistants to shop within five years, stated intent (DHL E-Commerce Trends Report 2026).

Each figure is dated and sourced, and none of them is ours.

Questions we get asked

See how we would approach the AI-search shift for your store

MG Lumeo works from what Google and OpenAI document, at the product-data layer and with content worth citing, and it measures and shows the result. The next step is a small one: see how we would approach AI-search visibility for your e-commerce store, or read the next guide.

See how we would approach this