AI Visibility tracks how often your products get mentioned, cited, and recommended across ChatGPT, Gemini, and other AI engines, then closes the gaps with feed enrichment and UCP and ACP-ready data.
AI Visibility combines discovery, feed enrichment, and ongoing analysis into one system, so you always know how AI engines see your brand and have a direct way to improve it.
Productized AI capabilities designed for the critical moments of the ecommerce and retail journey.
Traditional analytics can't see inside a ChatGPT or Gemini answer. Without visibility into what's being said, cited, and recommended, brands end up optimizing for a search engine fewer buyers are starting with.
Track how ChatGPT, Gemini and Perplexity talk about your brand across categories, and fix the gaps that keep you out of the answer.
Track how AI engines describe fit, style, and quality for your brand against every competitor a shopper might be comparing you to.
See whether AI assistants recommend your products or default to a competitor when a shopper asks for something in your category.
Monitor how ingredients, claims, and routines are represented in AI answers, and correct gaps before they shape buyer perception.
Track citations and sentiment across a category where AI-assisted research plays a heavy role in what shoppers decide to buy.
Keep feeds enriched enough that AI engines can confidently recommend furniture and décor pieces by size, material, and style.
Run visibility scans across every brand in a portfolio from one dashboard, instead of tracking each one separately.
AI discovery and product feeds
Intent and guided selling
Audience and campaign intelligence
Creative and post-purchase experience
Owned commerce experiences
Emerging discovery surfaces
Third-party commerce channels
Discovery and intent capture
Email, messaging and customer service
Powered by the Yarnit Platform — YaOS, Memora and Contextual Intelligence provide the shared orchestration, memory and context foundation behind the suite.
Commerce AI measured against the outcomes that matter.
Use individual products or connect the suite across your commerce stack.
Start with individual Yarnit products and connect them to your existing storefront and commerce stack.
Deploy individual capabilities or the full suite across brands, markets and enterprise systems.
Get clear answers to the questions we hear most so you can focus on what truly matters.
It identifies formulaic transitions, repetitive sentence structures, generic phrasing, tone patterns, and other signals that make AI-generated writing feel mechanical, then rewrites them while preserving the original meaning.
No. The Humanizer is designed to preserve important SEO keywords and search intent while improving the natural flow and readability of the content.
Yes. Yarnit uses brand voice guidelines, audience context, SEO requirements, and content analysis to inform how the content is rewritten, rather than applying the same writing style to every piece.
Instead of a single-pass or word-level rewrite, Yarnit uses specialized agents to detect and address linguistic, structural, tone, and content-level patterns before rewriting and validating the output.
Yes. It is designed for teams handling high content volumes, with unlimited content processing, bulk transformation, and real-time processing.
Run a free visibility scan, or book a walkthrough of the full report.
Giving shape to intelligence
