ShareOfAsk Verified Customer Reviews (2026)

HubSpot AEO is an advanced answer engine optimization platform designed to help businesses succeed in the era of AI-driven search. It enables companies to understand how they appear in AI-generated answers across platforms like ChatGPT, Gemini, and Perplexity. The tool provides a visibility score that tracks how often a brand is mentioned and whether those mentions are positive, negative, or neutral. It also identifies the most relevant prompts and questions that potential customers are asking AI systems. HubSpot AEO analyzes which content sources, domains, and pages are influencing AI-generated responses. This insight helps businesses create and optimize content that increases their chances of being recommended by AI. The platform delivers actionable recommendations, such as updating existing content or creating new pages to improve visibility. Integration with HubSpot’s CRM allows for more personalized and data-driven optimization strategies. The tool is designed to be user-friendly, requiring minimal setup while delivering clear and actionable insights. It helps businesses shift from traditional SEO to a new model focused on AI-driven discovery. By understanding how AI systems evaluate and recommend content, companies can position themselves more effectively in search results. Overall, HubSpot AEO empowers businesses to increase visibility, generate more leads, and stay competitive in an AI-first digital landscape.

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.

Lettertrace serves as a comprehensive platform for monitoring the visibility of open-source AI, specifically tracking how often prominent AI models like Claude, ChatGPT, Gemini, and Google AI Overviews mention and promote various brands. Users can enter topics that are commonly of interest to their customers, allowing the platform to generate a wide range of natural prompts that examine AI assistants' responses to these inquiries. Each session of monitoring yields essential data points, empowering teams to evaluate visibility, prominence, sentiment, and share of voice concerning different subjects and AI models over time. Furthermore, the platform includes competitor analysis, which highlights how frequently rival brands are mentioned, which entities receive AI recommendations, and how a specific brand compares to its competitors. The reports produced convert raw AI interactions into crucial metrics that AEO and GEO teams depend on, such as brand visibility, share of voice, sentiment assessments, recommendations, and competitive standings. With options for daily or weekly monitoring, the platform aids in establishing actionable trend lines, and its capability for multi-model analysis allows users to compare results from various AI answer engines side by side. This thorough methodology equips brands with the vital insights needed to adjust their strategies effectively within a rapidly evolving marketplace, ensuring they remain competitive and responsive to consumer needs. By leveraging these insights, brands can better anticipate market shifts and enhance their engagement with customers.