Checks 1 and 2: Who it's for and the key facts, in the first lines
AI assistants cut pages into chunks and keep the most useful ones. If the opening of your description is a mood line like "Elevate your everyday", the useful chunk never appears. The first two or three sentences should say who the product suits and its most important facts, using exact names rather than vague claims such as "this product helps".
How to check: read only the first two lines of your description. Could a stranger say who it is for and what makes it different? Then paste your copy into the free AI Bot Checker, which flags generic wording and the facts shoppers and AI are missing.
What good looks like: "Unscented beard oil for men with sensitive skin. 30 ml glass bottle, made with jojoba and argan oil." One idea per sentence, nothing to decode.
- Point 1: the first line names who the product is for
- Point 2: the key attributes (what it is, what it does, what makes it different) sit in the first few lines
Checks 3 and 4: Sizes, materials and use cases spelled out
Shoppers ask AI assistants long, specific questions: a waterproof jacket for hiking in winter, a leather wallet that fits cards and coins, a gift under $50. The assistant can only match your product to that question if the details are written on the page, not hidden in a photo or a size chart image.
How to check: list every size, measurement, material, colour and capacity, and make sure each appears as text. Then write down three real situations the product is used in and check each is named on the page. A short table of specs is easy for both people and AI to read.
What good looks like: SteelSeries and its agency NoGood reported that short answers up top, question and answer sections and clear tables helped give AI tools clean text to quote (The Drum, June 2026). Nigeria's Hingees spent years on tidy product details and tagged photos before a shopper found it through ChatGPT, TechCabal reported in October 2025.
- Point 3: sizes, measurements and materials written as text, ideally in a simple table
- Point 4: two or three named use cases or kinds of buyer
Check 5: Availability, price and shipping are clear
An assistant recommending a product wants to know it can actually be bought. If your page doesn't say whether an item is in stock, where you ship and roughly how long delivery takes, you leave a gap that a competitor's page may fill.
How to check: open the product page on your phone and look for stock status, price, shipping countries, delivery times and the returns policy without scrolling to the footer. Make sure sold-out variants are marked as sold out, not left looking available.
What good looks like: one short line near the price, for example "In stock. Ships from Melbourne in 1 to 2 business days. Free returns within 30 days." Keep it accurate, and change it when the facts change.
Check 6: Real questions answered on the page
Question and answer layouts work well for AI assistants because each answer stands on its own and can be quoted alone. A short FAQ block on each product page answers the doubts that stop people buying.
How to check: pull four to six real questions from customer emails, chat logs and reviews. Does the page answer each one in two or three plain sentences? If you want the questions marked up for Google and AI tools, the free FAQ Schema Generator turns them into FAQ markup and a ready Shopify section.
What good looks like: questions written the way shoppers ask them ("Will this fit a 15-inch laptop?") with a direct answer first, then a detail or two. No padding and no repeating keywords to game search, which search engines treat as spam.
Check 7: Structured data that machines can read
Structured data is hidden code on the page that states the product name, brand, price, currency, stock status, identifiers like barcodes, and ratings in a format Google and AI shopping tools can read without guessing. Your theme may add some of this already, but fields can be missing or out of date.
How to check: run a product page through the free Product Schema Checker. It shows which product facts Google and AI shopping tools can read and which are missing.
What good looks like: price and stock in the markup match what the page shows, the brand is filled in, and any rating comes from genuine reviews by real customers. Writing your own reviews or paying for fake ones breaks the rules of Google and the review platforms, and it can hurt the store when it is found.
Check 8: AI bots can actually read the page
If the bots that power AI answers are blocked, nothing else on this list matters. The ones that count most are Googlebot (Google Search, including AI Overviews and AI Mode), OAI-SearchBot (ChatGPT search) and PerplexityBot (Perplexity). GPTBot and ClaudeBot are used for training only, so blocking them does not hide your store from ChatGPT or Claude answers.
How to check: run your store through the free AI Crawler Checker, which reads your robots.txt and shows which blocks really matter. Also check firewall or CDN settings, such as Cloudflare's AI bot blocking, because those don't show up in robots.txt.
What good looks like: the important bots are allowed, and your key product facts are in the page itself rather than loaded later by an app. Vercel noted in June 2025 that most AI crawlers read pages but do not run JavaScript, and fixing pages crawlers could not read was part of SteelSeries' work, according to The Drum.
Checks 9 and 10: Fresh and honest
AI assistants tend to favour pages that are kept up to date, especially for products that change. Stale prices, discontinued colours and last year's shipping times make a page less useful and less trustworthy. Vercel said in June 2025 that it reviews its pages at 30, 90 and 180 days because stale pages get used less.
How to check freshness: set a calendar reminder every two to three months to review your top products. Update prices, stock, specs and FAQs, and remove anything no longer true.
How to check honesty: read every claim on the page and ask whether you could prove it. Remove awards you didn't win, certifications you don't hold and health or medical claims. AI assistants compare what many sites say about you, so a claim that only your page makes is weak, and a false one can do real damage to trust.
- Point 9: key pages reviewed every 2 to 3 months, with prices and stock current
- Point 10: every claim is true, specific and something you could back up
Key takeaways
- Put who the product is for and its key facts in the first lines of every description.
- Write sizes, materials, use cases, stock and shipping as plain text on the page, not in images.
- Check your structured data and robots.txt with free tools, because a blocked or unreadable page can't be recommended.
- Review your best sellers every two to three months so prices, stock and answers stay current.
- Only say what is true: no fake reviews, no invented awards and no health claims.
Questions people ask
Does a longer product description help AI assistants recommend my product?
Not by itself. What matters is that the key facts are clear, specific and near the top. A tight description with a spec table and a few real FAQs is usually easier for AI to use than long marketing copy.
Should I block GPTBot to protect my content?
That is your choice, but know what it does. GPTBot is OpenAI's training bot, and blocking it does not hide your store from ChatGPT answers. The bot that decides whether you show in ChatGPT search is OAI-SearchBot, so make sure that one is not blocked.
Do I need an llms.txt file for my Shopify store?
It is optional. Webflow told Growth Unhinged in November 2025 that it saw no significant lift from an llms.txt file and focuses on content instead. Clear product pages, good structured data and open access for the right bots matter more.
How often should I update my product pages?
Change stock, prices and shipping details whenever they change. For a fuller review of descriptions and FAQs, every two to three months is a sensible rhythm for your most important products.
Can I pay to have ChatGPT recommend my product?
No. ChatGPT now shows labelled ads below some answers, but OpenAI says advertisers cannot shape or change the answer itself. The recommendation has to be earned from what AI can read about your products and what other sites say about you.
Sources
- Digital Commerce 360: Adobe AI referral traffic data, July 2026 (opens in a new tab)
- The Drum: How SteelSeries claimed the top AI search spot before competitors arrived (opens in a new tab)
- TechCabal: Small businesses spent years optimising for Google. ChatGPT turned that into sales (opens in a new tab)
- Vercel blog: How we're adapting SEO for LLMs and AI search (opens in a new tab)
- Growth Unhinged: Traffic is no longer a reliable growth metric (opens in a new tab)
- OpenAI Help Center: Ads in ChatGPT (opens in a new tab)
Every number in this article comes from one of these pages. Written by the GEO team with help from AI, and checked against our facts sheet and these sources before publishing. Nothing here is a promise of results.
