Rapidflare and Semrush Partner to Bring AI Readiness to the Electronics Industry

The partnership combines Semrush’s AI visibility and search intelligence with Rapidflare’s product intelligence to help electronics companies improve how their products are discovered in AI experiences.

Rapidflare, the leading product intelligence platform purpose-built for electronics and semiconductors, powering accurate, source-grounded AI agents across product discovery, sales, and support, today announced a partnership with leading brand visibility platform Semrush, an Adobe company, to help electronics manufacturers and distributors understand and improve how their products appear across AI-driven discovery experiences.

Until recently, electronics product discovery largely depended on search engines, distributor catalogs, parametric filters, datasheets, and direct support from field application engineers. Now, engineers and technical buyers are increasingly asking leading AI assistants which MOSFET, antenna, or SiC module fits their design. In this new discovery model, product visibility depends on whether AI systems can retrieve, interpret, and reason over the underlying product information. For many electronics companies, that information was never written for AI, which means products can be overlooked, misrepresented, or left out of recommendations altogether.

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Under the partnership, Rapidflare integrates Semrush’s trusted AI visibility, search, and trends intelligence of more than 29.2 billion keywords, 43 trillion backlinks and 317 million AI search prompts with Rapidflare’s product knowledge graph, a structured, provenance-tracked model of parts, parameters, datasheets, and other technical product information across the electronics supply chain. Semrush provides data-backed visibility into the questions buyers are asking, the brands and products appearing in AI-generated answers, the sources being cited, and the competitors being surfaced. Rapidflare connects Semrush search intelligence with the underlying product intelligence, helping electronics manufacturers and distributors understand how their products are represented, where gaps in product knowledge may be limiting visibility or accuracy, and what can be improved.

“Product discovery in electronics is changing. Engineers are moving beyond search, parametric tools, and FAE relationships to ask AI systems directly which products fit their requirements,” said Navanee Sundaramoorthy, founder and CEO of Rapidflare. “This partnership with Semrush is about helping electronics companies understand how their products show up in those answers and build the product intelligence AI needs to work reliably with technical documentation.”

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AI-driven discovery creates a new layer of visibility for electronics companies. Knowing whether a product appears in an AI-generated answer is only the first step. Companies also need to understand why it appears, which sources influence the answer, and whether the underlying product knowledge is strong enough to support an accurate recommendation.

“Electronics is a highly technical industry, and adapting to AI-driven discovery requires more than broad visibility data. When an engineer asks AI to recommend a component, a missing or inaccurate spec means a lost sale,” said Pavel Fabrikantov, Senior Director, Software Development at Adobe. “By pairing Semrush’s expansive AI search dataset with Rapidflare’s technical intelligence layer, we’re bridging the gap between visibility and product intelligence to help brands ensure their products are found, trusted, and recommended.”

Together, Semrush and Rapidflare can help electronics companies move at the pace of AI while maintaining the accuracy and technical depth their customers expect.