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#Schema markup

E-commerce SEO for AI Search in 2026: A Practical Guide

To win e-commerce visibility in AI search in 2026, you need machine-readable product data (clean Product schema and feeds), trustworthy review and UGC signals, and PDP and category pages that state specs, prices, and comparisons in plain, structured language AI can cite. Optimize for being the answer, not just the link.

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llms.txt and AI Crawlers in 2026: A Practical Guide

llms.txt is an optional file that points AI models to your most important content, but no major crawler officially honors it yet — so use robots.txt to actually control GPTBot, ClaudeBot and PerplexityBot, and for most businesses the smart move is to allow AI crawlers so you stay visible in AI answers.

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Schema for AI Search in 2026: Which Types Actually Win

Schema (structured data in JSON-LD) helps AI search engines understand who and what your content is about, so AI Overviews, ChatGPT, Perplexity and Gemini can cite you. In 2026 the types that matter most are Organization, Person, Article, FAQPage, Product, HowTo and BreadcrumbList — but only when the markup mirrors visible, entity-rich content.

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GEO for Fintech: getting cited in AI answers

To appear in AI answers, fintech brands need entity authority, structured data and answer-ready content — so ChatGPT, Perplexity and AI Overviews cite you as a trusted source.

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