{"podcast":{"title":"Global Economic Press","slug":"global-economic-press-7086730","podcast_index_feed_id":7086730,"rss_url":"https://feed.podbean.com/global-economic-press/feed.xml","website_url":"https://global-economic-press.podbean.com","image_url":"https://pbcdn1.podbean.com/imglogo/image-logo/19577169/g-e-p-logo-2000_iqa3vp.png","author":"Global Economic Press","episode_count":999,"summary":"Global Economic Press delivers trusted global finance and economic news, analysis, and reports, empowering leaders and investors with reliable, timely insights.","last_synced_at":"2026-09-23T22:17:13.976638+00:00","page_url":"https://stenobird.com/podcast/global-economic-press-7086730"},"episode":{"title":"New Measurement Data: AI Engines Disagree by 2× on Which Brands to Recommend, Treyci Analysis Finds","slug":"new-measurement-data-ai-engines-disagree-by-2-on-which-brands-to-recommend-treyci-analysis-finds","published_at":"2026-09-03T14:01:34+00:00","page_url":"https://stenobird.com/podcast/global-economic-press-7086730/new-measurement-data-ai-engines-disagree-by-2-on-which-brands-to-recommend-treyci-analysis-finds","show_page_url":"https://stenobird.com/podcast/global-economic-press-7086730","url":"https://global-economic-press.podbean.com/e/new-measurement-data-ai-engines-disagree-by-2%c3%97-on-which-brands-to-recommend-treyci-analysis-finds/","audio_url":"https://mcdn.podbean.com/mf/web/elr4arb44il0a8s5/press_release_14336_1788444092.mp3","summary":"In this episode of Global Economic Press, Alex Brady discusses a groundbreaking study from Treyci, an artificial intelligence visibility intelligence platform. The study reveals significant discrepancies among major artificial intelligence engines regarding brand recommendations, which could have profound implications for businesses navigating the digital marketplace. For more information, visit the company's website at Treyci. The analysis shows that in one business-to-business software category, one artificial intelligence engine referenced tracked brands in 81 percent of its answers, while another referenced the same brands in only 43 percent, highlighting a nearly two-fold visibility gap between engines that buyers use interchangeably. Treyci's methodology involves running approximately 100 buying-intent questions per category across various artificial intelligence engines like ChatGPT, Perplexity, Gemini, and Grok, repeating each prompt three times per engine monthly. The findings indicate that artificial intelligence answers are probabilistic, often returning different vendor lists for the same question in separate sessions. Additionally, artificial intelligence engines tend to cite third-party sources rather than vendors, reshaping where brand-visibility efforts are most effective. Keith Schilling, founder of Treyci, emphasizes the importance of measuring the distribution of answers across engines to truly understand a brand's visibility. As artificial intelligence assistants increasingly influence business-to-business purchasing decisions, the absence of a brand from an artificial intelligence answer means no impression or record of a buying conversation. Treyci's full methodology is available at treyci.io/methodology, and companies can request a free artificia…","meta_description":"In this episode of Global Economic Press, Alex Brady discusses a groundbreaking study from Treyci, an artificial intelligence visibility intelligence plat…","key_points":[],"chapters":[],"topics":[],"duration_seconds":213,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/global-economic-press-7086730/episodes/new-measurement-data-ai-engines-disagree-by-2-on-which-brands-to-recommend-treyci-analysis-finds/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/global-economic-press-7086730/new-measurement-data-ai-engines-disagree-by-2-on-which-brands-to-recommend-treyci-analysis-finds.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}