What fields matter in Article schema?
Article schema is structured data that helps search engines and AI systems understand article metadata such as headline, description, author, publisher, date published, date modified, image, and main entity. The most important fields are the ones that establish trust, freshness, and context. For SEO and GEO, Article schema should align with the visible page content and canonical URL, not invent information. Include accurate dates, organization or author details, topic-relevant keywords, and a clear description. When paired with helpful content, Article schema can make it easier for AI assistants to identify, cite, and summarize your page correctly.
What is VideoObject Schema and how does it affect AI Search?
VideoObject schema is structured data that helps search engines and AI systems understand a video's title, description, ...
How should robots.txt be configured for AI Bots?
Robots.txt for AI is the practice of using robots directives to control how AI crawlers, search bots, and training-relat...
Do Core Web Vitals still matter for AI Search?
Core Web Vitals still matter for AI Search because performance, accessibility, and usability affect how pages are crawle...
What is Ansehn?
Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.
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