--- language: en title: "Articles on AI marketing and discovery | Tropk" description: "Learn how AI discovers brands, how this relates to SEO, and the role of content, sources, and strategy. Read Tropk articles." canonical: "https://tropk.ai/en/blog" last_modified: "2026-10-12T16:15:20.369Z" --- # Articles on AI marketing and discovery | Tropk Articles Articles on choosing monitoring questions, interpreting AI responses, and deciding which information and pages need improvement. ## [How to choose questions to monitor your brand in AI responses]() Choose discovery, comparison, and purchase questions that help you understand how your brand appears in AI responses. See examples and a worksheet for organizing intent, criteria, and what to observe. Published on 2026-10-03T08:18:35.421Z ## [Topical Authority: What It Is and How to Build It to Appear in AI Responses]() Learn about topical authority, organize pillar pages and clusters, connect content, and track whether your topic coverage helps people find your brand in AI responses. Published on 2026-07-01T02:34:36.000Z ## [Schema Markup for AI Visibility: The 7 Types That Matter and How to Implement Each]() Explore seven schema families, see valid JSON-LD examples, and learn how to mark up identity, articles, FAQs, and products with real data—without promising citations or special results. Published on 2026-07-01T02:34:33.000Z ## [What Is Visibility Score in AI Responses]() Learn about brand presence in AI responses, how to distinguish mentions from citations, and what it takes to make a Visibility Score comparable across platforms and time periods. Published on 2026-07-01T02:34:23.000Z ## [What Is Share of Voice in AI Responses]() Learn how to calculate AI Share of Voice, distinguish share from visibility rate, and compare mentions, recommendations, and citations using the same set of questions and brands. Published on 2026-07-01T02:34:20.000Z ## [llms.txt: what it is, how to implement it, and what it changes about AI visibility]() Learn about the current llms.txt proposal, how it differs from robots.txt and sitemaps, its uses in documentation, and the limits of evidence on AI citations. Published on 2026-07-01T02:34:14.000Z ## [robots.txt for AI: which bots to allow and how to configure it]() Separate search, training, and user-requested access when configuring robots.txt for OpenAI, Perplexity, Claude, and Google. Includes file templates and validation. Published on 2026-04-14T12:07:36.000Z ## [What Is SEO (Search Engine Optimization): The Complete Guide]() Learn what SEO is, how crawling, indexing, and ranking work, the technical and editorial pillars, and how to track traditional search alongside AI answers. Published on 2026-04-13T18:57:39.000Z ## [ChatGPT Ads: how advertising works on ChatGPT and what it changes in marketing]() ChatGPT Ads is now operational. Learn how advertising relates to responses, which official features are available, and how to plan campaigns and measurement. Published on 2026-04-13T18:22:45.000Z ## [Technical guide: how to optimize your website and content to be cited by AI]() Implement clear content, structured data, robots.txt, and sitemaps with code examples. Learn what each setting does and which promises to avoid. Published on 2026-04-13T16:51:46.000Z ## [GEO vs. AEO vs. SEO: What’s the difference?]() Compare SEO, AEO, and GEO by their goals, answer formats, and metrics. Understand how these practices overlap and how to prioritize them for brand discovery. Published on 2026-04-13T15:17:47.000Z ## [What Is AEO (Answer Engine Optimization): The Complete Guide]() Learn what AEO is, how to structure direct answers, review technical access and sources, and measure mentions, citations, and business results without relying on clicks alone. Published on 2026-04-08T17:33:23.000Z ## [What Is GEO (Generative Engine Optimization): Complete 2026 Guide]() Learn about GEO, source retrieval, RAG, and query fan-out. See how to organize content, authority, and tracking to increase the chances of appearing in AI answers. Published on 2026-04-06T17:42:32.000Z --- [All pages in Markdown]()