AI Visibility

Question intelligence

Measure the volume of millions of unique shopping questions across AI platforms.

AI visibility gives consumer brands a clear, data driven view into how shoppers discover products through conversational AI experiences. The platform measures millions of real shopping questions asked across ChatGPT, Amazon Rufus, Google Gemini, and other agentic commerce environments, capturing the actual volume behind every question.

By understanding how often each question is asked, teams can quickly identify which moments matter most and where optimization will drive the greatest impact. Brands can review platform specific answers, see which products are recommended, and measure impression volume and share of visibility at scale.

This level of insight enables smarter AEO prioritization, reveals competitive gaps, and helps organizations adapt as discovery shifts from traditional search to dynamic, question led shopping journeys.

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Multi-platform insights

Bring all agentic commerce results together into a single interface.

This solution delivers a unified way for brands to understand how they appear and compete across today’s rapidly expanding ai shopping ecosystem.

By bringing all results into a single analytical environment, teams can compare performance across ChatGPT, Amazon Rufus, Google Gemini, and other agentic commerce experiences.

This comprehensive view makes it easier to identify growth opportunities, uncover missed moments in AI discovery, and prioritize AEO initiatives based on real shopper behavior.

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Answer intelligence

Track every impression where brands appear in AI shopping results.

The platform gives brands unprecedented insight into how AI shopping platforms respond to consumer questions and which products are recommended in those moments. Our proprietary technology captures every shopping question and the associated millions of answers and recommendations generated by ChatGPT, Amazon Rufus, and other agentic commerce experiences every week.

The system also tracks the actual impression volume each brand and product receives within answer engines, so clients can see where they rank within their categories, identify questions where competitors dominate responses, and uncover gaps where their products are missing entirely.

This clarity helps organizations prioritize optimization efforts, evaluate exposure across platforms, and adapt strategies as AI driven recommendations increasingly shape how shoppers discover and choose products.

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Destination and citation insights

Discover which destinations earn the most exposure in AI shopping experiences.

AI visibility goes beyond recommendations to reveal where AI platforms send shoppers after answering their questions. The solution captures the source, citation, and destination included in every answer generated.

When consumers receive responses, those answers often link to retailer product pages, media articles, brand content, influencer posts, and additional third party sources. By measuring impression volume for each destination, brands can understand which sites and content formats AI platforms rely on most.

This insight helps teams pinpoint where authority is being assigned, evaluate the effectiveness of owned and earned content, and prioritize future investments. With clear visibility into citation patterns, brands can refine content strategies and AEO efforts to influence where ai sends shoppers next.

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Product intelligence

Access product-level insights in AI answers across the competitive landscape.

The solution delivers precise insight into how individual products perform within AI shopping platforms, down to the individual product. Every answer and recommendation from ChatGPT, Amazon Rufus, and other agentic commerce experiences is analyzed to show which specific products are being discovered, ranked, and surfaced to shoppers.

Brands can move beyond brand level assumptions to understand true product exposure, including the weekly volume of answer impressions each product receives.

With access to the complete competitive product universe, teams can benchmark performance against alternatives, uncover gaps in visibility, and identify where competitors are gaining traction.

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Overlap intelligence

See exactly which products AI platforms surface together in shopper answers.

AI visibility includes an advanced overlap data set that shows brands exactly which other products and competitors are featured alongside their own in AI shopping recommendations.

When shoppers ask a single question, AI platforms often present multiple product options within the same answer, creating direct competitive moments that were previously difficult to measure. Overlap data captures these scenarios in detail, revealing which brands and products are repeatedly recommended together across ChatGPT, Amazon Rufus, and other agentic commerce experiences.

Brands can see how often their products appear next to specific competitors, understand shared impression volume, and identify where rival products are gaining preference. This insight helps teams assess true competitive context and prioritize optimization efforts where side by side comparison most influences shopper decisions.

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“The data from Stackline supports over and over again—this is the right investment.”

Summer Jubelirer

Olly

“Stackline has elevated our performance and helped establish a true performance culture.”

Thomas Angelidis

Spin Master

“We found Stackline’s information to be important for shaping our strategic direction.”

Jeremiah McNeal

Schwaab

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Monitor your performance on ChatGPT, Amazon Rufus, and other AI platforms