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AuthorityTechAuthorityTech 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.
What is Goldpan?
The procedure involves organizing interviews, carrying them out, making adjustments as needed, documenting interactions, transcribing the dialogues, and applying annotations for improved clarity. It also incorporates verifying data accuracy, conducting in-depth investigations, and choosing the most suitable methods customized for the specific objectives. By participating in structured ranking interviews, teams can gain valuable insights into the factors contributing to lost sales, aligning their strategies and prioritizing critical information readily available. Generally, the optimal strategy consists of performing phone interviews with prospects and buyers, transcribing these discussions, and pinpointing recurring trends that reveal their purchasing behaviors, which allows for the development of reliable buyer personas grounded in current research rather than outdated beliefs. Sales leaders are equipped with a profound understanding of the authentic aspirations and obstacles their buyers encounter, helping them discern whether their sales force is being excessively pushy or not adequately addressing the concerns faced by clients, particularly when compared to their competitors. This depth of understanding not only refines sales tactics but also strengthens the relationship between the sales team and potential customers, ultimately fostering a more collaborative approach to meeting client needs. Furthermore, this ongoing feedback loop encourages continuous improvement in sales processes, ensuring that strategies evolve alongside market dynamics and buyer expectations.
What is Frank?
Frank functions as a cloud-based service that focuses on customer research, empowering product and growth teams to obtain qualitative insights via AI-driven voice interviews. Users can create structured interview guides, share interview links, and embed an interview widget into their websites or applications, facilitating a smooth research process. During conversations, Frank intelligently generates follow-up questions based on the responses provided by participants, while also transcribing and organizing the discussions into clear summaries, themes, sentiments, and essential highlights related to the original exchanges. Teams utilize this innovative tool for a variety of objectives, such as customer discovery, validating products and concepts, onboarding new clients, assessing features, improving customer experience, and exploring reasons behind churn. Furthermore, the platform supports interviews in more than 30 languages, making it accessible to a wide range of audiences. To further enhance integration capabilities, Frank provides a REST API and a compatible MCP connector, allowing teams to effortlessly access and leverage research data alongside other AI tools they may be using. This all-encompassing framework ensures that teams can optimize their research initiatives and extract actionable insights with greater efficiency, ultimately leading to more informed decision-making and strategic growth.
Integrations Supported
Integrations Supported
ChatGPT
Claude
Codex CLI
Cursor
Gemini
Microsoft Copilot
Model Context Protocol (MCP)
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$59/month
Starter is $59/month billed monthly, or $49/month billed annually. A free plan includes 60 voice minutes per month. Paid plans include a 14-day free trial.
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
Goldpan
Company Website
goldpan.io
Company Facts
Organization Name
Frank
Date Founded
2026
Company Location
United States
Company Website
www.hifrank.ai/
Categories and Features
Win-Loss Analysis
Not specified
Categories and Features
AI Interviewing
Not specified
User Research
Not specified