AI visibility

Grow your brand’s AI visibility

Yarnit AI Visibility discovers the questions buyers ask, checks how AI answers them and scores your brand against the competition. It builds your brand bio, researches new queries and recommends content that helps your brand answer them, in a continuous agentic loop

Check Your AI Visbility

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Trusted by marketing teams shipping across brands, markets and channels every week

THE VISIBILITY LOOP

Every gap AI finds gets closed, then checked again

Connect brand understanding, question research, competitive scoring and content recommendations in a recurring workflow

AI Visibility scans ChatGPT, Gemini, and other AI engines for how often your brand and products are mentioned, cited, and recommended, and how that compares to competitors.

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Feeds structured for how AI engines actually read data

Product feeds are enriched and tagged so AI systems can parse attributes, pricing, and availability with confidence instead of skipping incomplete listings.

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Every scan produces a visibility score alongside citation counts, sentiment, and gap analysis, so you can see what's improving and what still needs work.

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Data structured to UCP and ACP standards

Feeds are formatted to the emerging protocols AI shopping engines are being built around, so your catalog is ready as agentic commerce becomes a bigger share of how people shop.

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THE ARCHITECTURE

Three systems behind every visibility score

AI Visibility runs scanning, enrichment, and reporting as connected systems, so a score isn't just a number, it comes with the data to explain and improve it.

Scanning Engine

Continuously queries AI engines with real buyer-style questions to see how your brand and competitors show up in the answers.

Enrichment Engine

Fills gaps in product feeds and structures data to UCP and ACP standards, so AI engines have what they need to cite your listings with confidence.

Reporting Layer

Turns raw scan data into a visibility score, citation trends, sentiment, and competitor comparisons in one report.

Autonomous Discovery

Keep finding new queries, evaluating responses and recommending content, with marketers guiding priorities and reviewing recommendations.

USECASES

Turn buyer questions into brand opportunities.

Discover relevant buyer questions and decide what your brand should answer next.

Fashion & Apparel

Track how AI engines describe fit, style, and quality for your brand against every competitor a shopper might be comparing you to.

Footwear & Accessories

Beauty & Personal Care

Monitor how ingredients, claims, and routines are represented in AI answers, and correct gaps before they shape buyer perception.

Pet Care & Wellness

Track citations and sentiment across a category where AI-assisted research plays a heavy role in what shoppers decide to buy.

Home & Décor

Keep feeds enriched enough that AI engines can confidently recommend furniture and décor pieces by size, material, and style.

Multi-Brand Portfolios & Enterprise Retailers

Run visibility scans across every brand in a portfolio from one dashboard, instead of tracking each one separately.

YaOS orchestrates brand research, question generation, response evaluation and content recommendations. Contextual Intelligence connects brand information with public discovery signals. MemorA retains research, question history and evaluation findings so each cycle can build on the last.

Explore the Yarnit Platform

AI for Commerce

Find out what AI is already saying about your brand

Run a free visibility scan, or book a walkthrough of the full report.

See your AI Visibility Score

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