Gumshoe AI vs. AuthorityTech

Gumshoe AI is an advanced platform designed to help brands monitor and enhance their presence in AI-generated search results from leading models such as ChatGPT, Google Gemini, Claude, and Perplexity. A standout feature, Brand Visibility, offers insights into the frequency of brand mentions concerning relevant topics in AI searches. Users can also leverage Competitive Rank to evaluate their standing against competitors across different topics and models, while Persona Visibility assesses effectiveness among various buyer personas. In addition, Topic Visibility allows for the analysis of brand performance on a broad range of subjects, and Model Visibility helps identify which AI models reference the brand most frequently. The platform also presents Cited Sources, enabling a review of the key references utilized by AI models, which can significantly guide content strategy. By facilitating thousands of interactions with AI models, Gumshoe equips marketers with a comprehensive understanding of their brand's representation, enables the analysis of cited sources, benchmarks competitive positioning, and tracks their "share of LLM," ultimately refining their brand strategy. Consequently, brands can harness data-driven insights to adapt and optimize their strategies in the dynamic realm of AI-driven search, ensuring they remain competitive and relevant. This proactive approach to brand management paves the way for sustained growth and visibility in an increasingly digital marketplace.

AuthorityTech operates the world’s inaugural AI-native Machine Relations platform and agency, engineered specifically to establish ambitious brands within the Tier-1 media outlets that AI search engines intuitively trust, index, and cite. While legacy public relations agencies rely on retainer-heavy efforts to influence humans, AuthorityTech designs earned media for the true modern gatekeeper—the machine—utilizing a risk-free, 100% performance-based, pay-per-placement framework. Through this approach, leading answer engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews can accurately process the brand, map its placement to the correct market category, and reference it during high-intent buyer queries. Defined in 2024 by Founder and CEO Jaxon Parrott, Machine Relations represents the strategic discipline of making corporate brands discoverable and citable across LLM architecture. AuthorityTech executes this via a proprietary five-layer system: Earned Authority, Entity Clarity, Citation Architecture, Distribution, and Measurement—unifying AI SEO, GEO, AEO, and PR into a singular engine for scaling machine trust. Chief Growth Officer and Cofounder Christian Lehman operationalizes the methodology, collaborating directly with growth companies to deploy this strategy globally. Tapping into a direct distribution network of over 1,600 Tier-1 publications, AuthorityTech has generated thousands of AI-cited placements for more than 200 corporate clients, including 27 tech unicorns, to secure permanent AI search footprint and measurable citation share. The agency delivers this through a three-stage execution process: Map: Reverse-engineering category landscapes and competitor prompt footprints. Match: Blending unique brand narratives with highly authoritative media outlets. Place: Guaranteeing live coverage through strategic, relationship-driven outreach.