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, duration, thumbnail, upload date, transcript, and source URL. For AI search, video markup is especially useful when the video contains explanations, product demos, webinars, tutorials, or expert commentary that can support an answer. The strongest implementation pairs VideoObject schema with a crawlable transcript, clear chapter headings, and surrounding page copy that summarizes the key points. This improves discoverability in traditional search and gives AI assistants text they can retrieve, cite, and summarize accurately.
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 Static Site Generation (SSG) and why use it?
Static Site Generation, or SSG, prebuilds pages as HTML so content is available quickly without requiring heavy runtime ...
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.
Ready to Optimize Your AI Search Performance?
Learn how Ansehn can help you monitor and improve your content's visibility across leading AI platforms to drive traffic and conversions.
Book a Demo