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Affect Performance Team
|AI|Nov 8, 2026

SPINS Launches Agentic Discovery for Consumer Product Visibility in AI Search

On September 22, 2026, U.S.-based SPINS introduced Agentic Discovery, a platform for analyzing the visibility of consumer products in recommendations from ChatGPT, Gemini, Perplexity, and other AI systems.

The new product is designed for FMCG and CPG manufacturers. It combines AI search monitoring, product attribute information, and retail sales data to help brands prioritize improvements to their product content.

Agentic Discovery Connects AI Recommendations With Product Attributes and Sales Data

Agentic Discovery is a specialized generative engine optimization (GEO) platform for consumer product manufacturers.

Unlike general-purpose GEO tools that primarily track brand mentions and website citations, SPINS analyzes recommendations at the individual product and product-attribute level.

The platform enables brands to:

  • Track AI visibility. Identify which products appear in ChatGPT, Gemini, and Perplexity recommendations for consumer queries.
  • Analyze competitors. Find products from competing manufacturers that AI systems recommend instead of the brand’s products.
  • Check product attributes. Assess how accurately AI systems identify ingredients, nutritional information, certifications, and other product characteristics.
  • Analyze product detail pages (PDPs). Identify missing information on product pages across manufacturer and retailer websites.
  • Prioritize optimization. Use retail sales and category data to identify product queries with the greatest commercial potential.
  • Improve content. Develop recommendations for product titles, descriptions, attributes, and other elements of product pages.

The technology is built on the SPINS Product Knowledge Graph, a structured database of consumer products and their characteristics.

For example, a gluten-free snack manufacturer might discover that ChatGPT recommends competing products for queries about school snacks for children with dietary restrictions. Agentic Discovery helps assess whether the product’s attributes are accurately represented in AI search and on retailer product pages.

A key differentiator for SPINS is its proprietary retail sales analytics. Rather than prioritizing solely by the number of mentions, the company proposes taking the commercial potential of product categories and attributes into account.

SPINS also published initial customer results:

  • Death Wish Coffee: The brand’s presence in Google AI Overviews increased by 13.9 percentage points over one month.
  • MadeGood: The brand’s presence in ChatGPT increased by 12.5 percentage points over two months.

These results come from SPINS’ own case studies, relate to monitored sets of queries, and do not establish a direct increase in sales.

Agentic Discovery is available through a demo request. Public pricing has not been disclosed.

What Is SPINS?

SPINS is a U.S. analytics company specializing in consumer markets, retail sales, and product data. Founded in 1995, the company is headquartered in Chicago.

SPINS provides manufacturers and retailers with data on sales, product category performance, competitors, consumer demand, and product attributes.

The company focuses in particular on natural, organic, wellness, and other consumer product categories.

SPINS’ main business areas include:

  • Retail Sales Analytics: Sales analysis by brand, product, category, and retail channel.
  • Market Intelligence: Research on market trends, competitors, and consumer preferences.
  • Product Intelligence: Structured information about ingredients, certifications, nutritional value, and other product characteristics.
  • Digital Shelf Analytics: Analysis of product visibility and the quality of product information in digital channels.
  • Agentic Discovery: Monitoring and optimization of consumer product recommendations in AI search.

Agentic Discovery extends SPINS’ traditional retail and product analytics into an emerging channel for product search and selection: generative AI assistants.

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