GEO in Practice: Getting Your Content Cited by ChatGPT and Perplexity
What GEO is and why it matters for e-commerce
GEO stands for Generative Engine Optimization. The idea is straightforward: optimize your content so AI search engines cite it when answering user questions. Same goal as traditional SEO, different audience — you’re writing for ChatGPT, Perplexity, and Google Gemini instead of just Google’s ranking algorithm.
Why care? Referral traffic from AI platforms grew 357% year-over-year in 2025. The absolute numbers are still small compared to Google, but that growth rate is hard to ignore. If you’re using content to drive acquisition — blog posts, buying guides, comparison reviews — AI search traffic will keep getting more relevant.
The difference from traditional SEO: AI search engines don’t rank pages by keywords. They “understand” a question, then assemble an answer from content they’ve crawled. Your job is twofold: make sure AI crawlers can reach your content, and structure it so the information is easy to extract.
Step one: let the crawlers in
Many sites block most crawlers by default in robots.txt, including AI crawlers.
Check your robots.txt for these User-Agents: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity), and Google-Extended (related to Google Gemini). If they’re blocked, add explicit Allow rules for each.
There’s also a newer convention: llms.txt. It’s a plain-text file in your site root that tells AI engines what your site is about, what content sections exist, and how things are organized. Not every AI engine reads it yet, but Perplexity does, and it costs almost nothing to set up.
Step two: format content for extraction
Looking at pages that get cited frequently, a few patterns stand out.
Lead with conclusions. “The most common product selection mistake in cross-border e-commerce is optimizing for sales volume instead of profit margin” beats “Product selection has always been an important topic in cross-border e-commerce.” The first version gives the AI something to quote. The second is filler.
Cover common questions in Q&A format. When an AI engine is answering a user’s question and finds one that matches exactly on your page, citation probability goes up. FAQ schema still helps here.
Include specific, sourced data. “According to Statista’s 2025 report, the global cross-border e-commerce market reached…” is far more useful than “the market is large.” AI engines trust content with attributed sources more.
Use clean heading hierarchy. H2 and H3 tags should separate distinct topics, with each section answering one specific question. Don’t lump everything together.
Step three: track what’s happening
This is the frustrating part. Unlike Google Search Console giving you precise impression and click data, AI search citation tracking is still primitive.
What works now: search your core topics in ChatGPT and Perplexity weekly. Perplexity shows source links explicitly, which makes verification easy. ChatGPT sometimes mentions sources, sometimes doesn’t.
Server logs help too. Look for GPTBot and ClaudeBot User-Agents to see whether AI crawlers are hitting your site, which pages they’re crawling, and how often.
Some third-party tools are starting to offer AI search visibility tracking, but nothing is mature enough to recommend yet. Your time is better spent on the content itself than on tooling.
One thing people overlook
GEO and traditional SEO aren’t competing strategies. Sites that do well in traditional search tend to do well in AI search too, because the fundamentals overlap: content quality, clear structure, external citations.
You don’t need a separate content strategy for GEO. Adjust what you already have. Make sure crawlers can reach you, format content for easy extraction, and include specific data with sources.
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