Google’s AI Overviews and AI Mode are live in India, AI assistants answer news questions directly, and the ANI v OpenAI case is testing copyright. What this means for Indian news publishers.
AI visibility is hard to measure, but not impossible. How to use server logs, Bing Webmaster Tools, Search Console, analytics referrals and manual checks to see whether ChatGPT, Copilot, Perplexity and others read and cite your site.
Schema markup does not get a page into AI answers on its own, but accurate structured data helps AI systems identify who wrote a page, who published it and what it is about. What helps and what is hype.
llms.txt is a proposed file that gives AI models a curated map of a website. Who proposed it, how it is formatted, what the evidence says about its use, and whether to publish one.
How ChatGPT, Claude, Gemini, Perplexity and Copilot find, read and cite websites, and what publishers can do about it: a guide to generative engine optimisation, AI crawlers, llms.txt, structured data and measurement.
Which bots OpenAI, Anthropic, Perplexity and Google use, what each one does, and how to allow AI search while controlling training, with robots.txt examples.
Generative engine optimisation means shaping content so AI assistants select and cite it. What the research says, how it differs from SEO, and what actually works.