AI Research & AI Shopping Is Already Reality: How to Prepare Now
Information search and online shopping are changing. More and more customers no longer “Google” dozens of tabs — they ask an AI: what to buy, how much it costs, who to choose, where to order — and receive a ready-made answer with recommendations and links. This is known as GPT AI Research (AI gathers information and cites sources) and GPT AI Shopping (AI shows products and leads to a purchase). While most companies still operate by the old SEO rules, AI has already started changing search results — and those who prepare earlier will benefit.What’s happening right now (and why it matters)
ChatGPT Shopping is already working. In spring 2025, OpenAI updated ChatGPT Search: for “shopping” queries, the assistant shows not a list of links, but several product cards (image, description, reviews, link to the seller). A storefront inside the chat — without classic ads (according to OpenAI). What does that mean? Recommendations are formed based on metadata (price, description, reviews/ratings), not on advertising budget. 🔗 Forbes. Key point: the era of “agentic” commerce. At the end of September 2025, OpenAI launched Instant Checkout — a purchase directly inside the conversation, without going to a website. For now, the feature is available in the U.S. and works with sellers on Etsy; next comes expansion, including Shopify, and the development of a “cart.” The technical foundation is the Agentic Commerce Protocol (ACP): a “commerce language” for AI agents to request product data, availability, and complete transactions.How the rules of the game are changing
Search results become short. AI shows a few cards. If you/your product is not in that short list, for part of the audience you simply “don’t exist.” The focus shifts from keywords to product/service data. If “classic SEO” used to be about headlines and text, in the ChatGPT ecosystem it’s critical how well characteristics, price, and availability are described — and whether there is confirmation (reviews, independent reviews). AI traffic may be smaller, but it’s “hotter.” A Seer Interactive study shows: conversion from ChatGPT traffic is around 15.9% versus about 1.8% for Google organic search (in their case study).GPT vs Google: what’s the difference (very briefly)
| Parameter | GPT / AI Shopping | |
| What does the user see? | a list of links | a short storefront with a few cards |
| How do you win? | SEO + advertising | data quality + trust + structure |
| Main factor | rankings/CTR | relevance + metadata + reviews/sources |
| What should a business do? | “promote itself” | “become understandable to AI” and prepare data/site |
Illustrative forecast if growth rates remain the same: referral traffic from ChatGPT (+25.6% per month) vs organic search (+5.2%). This is an extrapolation based on publicly discussed Siege Media data/estimates; actual dynamics may differ due to seasonality and changes in user behavior. 🔗 Reddit.
What you can do right now on your own, without additional costs — a basic checklist
These steps are already enough to build a foundation for rapid changes in the near future.1) Check whether AI “sees” you — and whether it can link to your website
Start with a simple test directly in an AI (ChatGPT/Perplexity, etc.). For example, ask:- “Find the official website of the company <name> in Latvia and list the key pages (services/contacts/prices). Provide links to sources.”
- “What services does <name> provide, and on which pages is this confirmed?”
2) A quick technical check (why Google is still relevant here)
Yes, it’s an “old” method — but it remains the fastest way to understand how the site is read by crawlers in general. Type in Google: site:yourdomain.lv (for example, site:hitexis.com) — and see which pages are in the index and how they are displayed. If you are not in the index, or the result looks strange/truncated/“junk,” then the site may have:- weak structure and internal linking,
- issues in sitemap.xml,
- restrictions in robots.txt,
- canonical/duplicate problems,
- important content loading only via JS and poorly visible to crawlers.
3) Make pages “answer-oriented”
AI more often uses content that is written clearly. On service/category pages, add blocks like:- what you do and who it is for;
- steps, timelines, geography (Riga/Latvia/…), terms/guarantees;
- FAQ (5–10 questions);
- examples/case studies;
- reviews;
- links to social media;
- specific or starting prices;
- business hours and delivery, returns, warranty.
4) Strengthen trust
About the company, SIA details, contacts, address/service area, return/warranty/delivery policy — these are not “formalities,” but trust signals.5) Add basic structured data (Schema)
This is the main “bridge” between the website and the AI ecosystem:- for services: Organization/Business + Services + FAQ;
- for e-commerce: Product/Offer (price, currency, availability).