A - Example 1: A Shopify Fashion Brand Optimizing for "Best Summer Dresses"
Under traditional SEO, the strategy is: target the keyword, build backlinks, rank on page one.
Under GEO, the starting point is discovery, open ChatGPT and ask the question your customer would ask. Note which brands appear. If yours doesn't, audit who does and why: their review presence, editorial mentions, and how their product pages are structured.
The GEO response: restructure product pages to answer "who is this dress for and when should you wear it" in the first paragraph. Pitch fashion editors for roundup coverage, comparison roundups are the most-cited content format in AI responses. Create a style guide with specific outfit pairings that becomes a reference LLMs can cite. Restructuring existing content along these lines tends to show results within 60-90 days, faster than waiting for new content to rank from scratch.
B - Example 2: A D2C Skincare Brand and AI Product Recommendations
A consumer asks Perplexity: "What's the best cruelty-free moisturizer for oily skin under ₹2,000?" it synthesizes an answer from Reddit discussions, Byrdie roundups, Google reviews and beauty editorial sites.
It names three brands. All three have strong review presence across multiple platforms, consistent brand descriptions, editorial coverage from trusted publications and product pages structured around specific skin concerns rather than generic marketing copy.
The brands not appearing have beautiful websites and solid SEO, but no multi-platform presence AI can index. Their GEO gap isn't content quality, but distribution and structure.
The fix: Expand to Nykaa reviews, seek dermatologist quotes for third-party credibility, create comparison content and restructure product descriptions around skin type, concern and occasion rather than ingredient lists alone.