Treyci Inc. builds the Treyci platform, a workforce safety and training solution that captures immersive VR/AR learning and incident replay. Founded in the U.S., it serves industries needing hands‑on skills and safety compliance.
Website: https://www.treyci.io
Treyci is an AI visibility intelligence platform that measures how AI engines mention, recommend, and cite brands when buyers submit purchasing-intent queries. It is operated by Helix Apps LLC, a Florida limited liability company, and markets under the registered fictitious name Treyci. The platform sits in the emerging category variously labeled Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) measurement.
Treyci is an AI monitoring and visibility measurement tool targeting marketing departments, brand managers, SEO professionals, digital marketers, and executives [2]. The platform tracks how AI-powered answer engines—specifically ChatGPT, Gemini, Perplexity, and Grok—discuss, recommend, and cite brands in response to buying-intent queries [3]. Its core premise is that AI assistants increasingly produce the first vendor shortlist in B2B purchasing decisions, yet those conversations leave no trace in conventional web analytics [1]. Treyci positions itself within the AEO/GEO measurement category, offering two distinct user interfaces: an executive dashboard presenting visibility scores and trend summaries, and a marketer-facing interface that exposes competitive outcomes, per-engine performance, citation sources, and verbatim AI answers [2].
Treyci is a registered fictitious name of Helix Apps LLC, a Florida limited liability company headquartered in Port St. Lucie, Florida [3]. The company was founded by Keith Schilling, who previously worked as an AEO/GEO practitioner at PayPal [3]. No founding date, funding rounds, investment figures, or employee counts were identified in available public sources at the time of writing. The company has published original measurement research distributed through GlobeNewswire (September 2026), which represents its earliest traceable press activity in the sources retrieved for this entry [3].
Treyci operates in the dedicated AEO/GEO measurement platform segment, a category that industry trackers noted had grown to roughly 22,000 monthly searches by 2026 [26]. The broader competitive landscape as catalogued by third-party analysts includes dedicated AEO platforms such as Profound, AthenaHQ, Otterly.ai, Peec AI, Scrunch AI, and Goodie AI, as well as SEO-suite extensions from Ahrefs (Brand Radar) and Semrush (AI Visibility Toolkit) [26]. Treyci's Capterra listing notes it carries no user reviews as of the date of research, indicating it is an early-stage listing without independently verified customer ratings [2]. No analyst firm recognition (Gartner, Forrester, or IDC) or named enterprise customer references were identified in available sources.
The AI visibility measurement space divides into four broad buckets: dedicated AEO platforms, SEO suites with AI tracking add-ons, brand monitoring tools, and DIY approaches [23]. Dedicated platforms such as Profound, AthenaHQ, Peec AI, and Otterly.ai run structured prompt sets across multiple AI engines and produce mention rates, citation share, and share-of-voice metrics—directly comparable to Treyci's stated methodology [23]. SEO suites including Ahrefs Brand Radar and Semrush AI Toolkit offer AI visibility as an extension of existing keyword and backlink infrastructure, which third-party analysts note provides less depth on AI-specific signals than dedicated tools but benefits teams already invested in those platforms [23]. Brand monitoring platforms such as Brand24 and Mention track web and social mentions and have added AI-source monitoring, but analysts note these tools capture post-publication mentions rather than real-time AI-engine prompt responses [23]. Treyci differentiates on its explicit multi-run methodology—repeating each prompt three times per engine per month to filter probabilistic variation—a design choice its founder has framed as distinguishing statistically valid measurement from single-snapshot spot-checks [3].