7 GEO quick wins you can ship this week.

1. Front-load the answer (highest impact, zero cost)

AI engines pull disproportionately from the top of a page. Kevin Indig's analysis of 1.2 million ChatGPT responses found that 44.2% of citations come from the first 30% of a page's text.^[1] If your product and category pages open with brand storytelling or a hero tagline, the model has less factual material to grab early.

Rewrite the opening of your most important pages so the first two sentences answer the question a shopper would actually ask. For a category page on magnesium supplements, that means leading with what it is, who it's for, and the one fact that differentiates it — not "Welcome to wellness, reimagined." This is a copy edit, not a project, and it's one of the best hours you'll spend.

2. Add an llms.txt file and check your robots.txt

An llms.txt file is an emerging convention — a plain-text file at your root that tells AI systems what your site is about and which pages matter. Adoption is still early and support is not universal, so treat it as a low-cost, sensible signal rather than a guaranteed win. It takes about ten minutes to write.

While you're there, open your robots.txt and confirm you aren't accidentally blocking the crawlers that feed AI engines — GPTBot, PerplexityBot, ClaudeBot, and Google-Extended. A surprising number of brands spend on content and then quietly fence the AIs out. Allow them explicitly.

3. Deploy Product schema (the big technical lever)

Structured data is how you hand an AI engine clean, machine-readable facts instead of asking it to infer them from prose. In Semrush's January 2026 study of AI-cited pages, the presence of structured-data elements showed a +21.6% correlation with getting cited — one of five content qualities that separated cited pages from ignored ones.^[2] Correlation isn't causation, but the mechanism is intuitive: clean facts are easier to extract and trust.

For products, deploy Product schema with nested Offer (price, currency, availability), AggregateRating, and Review.^[3] On Shopify, a schema app handles this catalog-wide without touching theme code. The one rule that matters: the data must be server-rendered, not injected by JavaScript after load — crawlers that don't run scripts will miss it.

4. Add a real FAQ block — in natural questions

A question-and-answer format is one of the stronger citation signals; Semrush's study put Q&A structure at a +25.5% correlation with getting cited.^[2] The reason is mechanical: AI engines match a user's natural-language question to content shaped like a question.

Add an FAQ section to your top product and category pages using the exact phrasing shoppers use — "Is this safe to take daily?", "How long does shipping take?", "What's the difference between X and Y?" Write each answer so it stands alone in two or three sentences without needing the rest of the page. Then mark it up with FAQPage schema so the structure is explicit.

5. Fill in the attributes AI engines read

AI shopping results lean on structured product attributes, and incomplete data is a common reason a product never surfaces.^[4] Audit your catalog for the fields that matter and fill the gaps:

• GTIN / barcode — critical for matching across AI commerce feeds
• Material, dimensions, weight, capacity — the specifics comparison queries hinge on
• Use case and "best for" language — "best for sensitive skin," "ideal for small apartments"
• Accurate price and live stock status — out-of-date availability can get you filtered out

Prioritize by revenue: enrich your top 20% of SKUs first. That's usually where most of the AI-visibility upside sits.

6. Collect and surface reviews on every product page

Reviews do double duty. They give the AI fresh, specific, first-hand language to draw on — a corroborating signal generative engines weight heavily — and they feed your AggregateRating schema with real numbers. A product page with dozens of reviews and a visible rating is a more confident citation target than an identical page with none. If you're not already running a review app, that's the week-two task.

7. Run the query test (do this first, actually)

Before and after every change, measure. Open ChatGPT, Perplexity, and Google AI Mode and ask the 15–20 questions a real buyer in your category would ask: "best [category] for [use case] under [price]," "[your brand] vs [competitor]," "what's a good alternative to [market leader]." Write down which brands get named and whether you're one of them.

This costs nothing, takes an afternoon, and gives you a baseline. Re-run it monthly. If you start appearing in answers where you didn't before, the work is paying off — and you'll know which queries to push on next.