Sill vs. GetMentions AI

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.

Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search across ChatGPT, AI Overview, AI Mode, Gemini, Claude, Perplexity, Meta, DeepSeek and Copilot. We're building the first marketing platform for AI search as a channel. We show enterprise brands exactly where they stand when customers discover them through AI — then give them the precise playbook to show up stronger. This is Generative Engine Optimization, also known as AI SEO. Why Leading Enterprise Marketers Choose Evertune: Data Science at Scale: : We prompt across every major LLM at volumes that capture response variations and ensure statistical significance for comprehensive brand monitoring and competitive intelligence. Actionable Strategy, Not Just Dashboards: We decode exactly what gets brands mentioned more and ranked higher, then deliver the specific content, messaging and distribution moves that improve your position. Dedicated Customer Success: Our team provides hands-on training and strategic guidance to help you execute on insights and improve your AI search visibility. Purpose-Built for AI as a Channel: Evertune was founded in 2024 specifically for how LLMs select and rank brands. While others retrofit SEO tools, we're architecting the infrastructure for where marketing is going: AI search with organic visibility today, paid placements and agentic commerce tomorrow. Proven Leadership: Our founders helped build The Trade Desk and pioneered data-driven digital advertising. We've shepherded an entire industry through transformation before and have seen early adopters grab the competitive advantage. Our investors, including data scientists from OpenAI and Meta, back our vision because they see where this channel is heading.

AthenaHQ is a platform dedicated to Generative Engine Optimization (GEO), designed to help businesses dominate AI-driven brand discovery. The platform supports real-time monitoring of brand mentions and perception in AI-generated content, enabling businesses to refine their AI strategy. AthenaHQ integrates advanced tools for competitor analysis, AI search volume tracking, and sentiment analysis, providing businesses with crucial insights to adjust and optimize their approach. By focusing on AI readability and structured data, AthenaHQ helps brands enhance their visibility across generative search engines, positioning them for long-term success as the search landscape shifts towards AI-driven discovery.

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.

Muck Rack is an AI communications platform built to help PR teams understand, manage, and act on earned media and AI-generated brand visibility. The platform helps organizations see what is happening across the media landscape, understand why it matters, and turn insight into targeted communications action. Muck Rack monitors signals from news, social platforms, industry voices, podcasts, newsletters, broadcast, print, and generative AI models. Its media intelligence capabilities are designed to reduce noise, close visibility gaps, and alert teams when important coverage or conversations appear. The platform’s media database helps users identify journalists, content creators, outlets, and influencers shaping conversations across digital, broadcast, print, podcast, newsletter, and social channels. PR teams can use Muck Rack to pitch more strategically with AI-powered recommendations, personalized outreach, engagement tracking, and follow-up management. Its reporting tools turn coverage into executive-ready reports that combine media data with interpretation and business context. Generative Pulse helps brands and agencies track how AI platforms describe their brands or clients, uncover which sources shape AI-generated answers, and connect those insights to broader PR strategy. Muck Rack also supports podcast monitoring, media relations, PR analytics, PR measurement, social listening, pitching, and journalist solutions. The platform is used by brands, agencies, journalists, and media professionals that need to improve visibility, accountability, and communications performance. By combining AI communications, media monitoring, journalist discovery, generative AI visibility, targeted outreach, reporting, social listening, and PR measurement, Muck Rack helps teams make PR more connected and accountable.

FinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value. As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time. FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation. With FinOpsly, organizations can: Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed Automate optimization safely, using governance rules aligned to business risk and performance needs Deliver measurable financial impact quickly, often within weeks rather than quarters FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.

ClickLearn makes it easier to navigate intricate business procedures by utilizing widely-used software. You are able to generate educational content in various formats and languages, which can be effortlessly published to a 24/7 accessible learning portal with a single click. A narrated video guide is available to walk you through the entire process in your chosen language. Challenge your understanding with an interactive simulation of your workplace, allowing you to assess your skills without any assistance. This immersive simulation provides a clear, step-by-step guide through the tasks at hand. The guide features precisely cropped screenshots to enhance clarity and comprehension. When you find yourself confused or in need of assistance with a process, ClickLearn Assist serves as an invaluable resource, helping you navigate new tasks in the live system without fear of making errors. Additionally, all your educational materials can be easily auto-translated with just one click, ensuring accessibility for everyone involved. This seamless integration of learning tools fosters a more effective training environment for all users.

Most contact centers are stitched together from tools that don't talk to each other — a phone system here, a chatbot there, a support queue that loses context the moment it changes hands. Dialpad Contact Center replaces that patchwork with one AI-native platform where voice, digital, and human agents work from the same intelligence. The difference is agentic action. Rather than summarizing a call after the fact, Dialpad's AI agents reason through the issue in real time and carry it to resolution on their own — no handoff required unless one actually adds value. Voice and data stop living in separate silos, so every channel feeds the same connected picture of the customer. That connected picture gets smarter with use. Dialpad is already past 775 million AI recaps, and every conversation adds to a base of intelligence that keeps improving resolution speed, agent output, and customer satisfaction over time. It's all run through Dialpad's Guardian layer, which keeps AI behavior secure, auditable, and within the boundaries enterprises expect. The result: up to 80% of tickets resolved without a person touching them, and a support team that spends its time on the cases that actually need human judgment — intelligence doing the routine work, people handling what matters. Skeptical an AI contact center can deliver on that? Dialpad's Proving Ground lets you pilot and measure real ROI before you commit, rather than adopting on promises alone.

BigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.

Haast is the AI engine for marketing compliance, built for enterprise marketing, legal, and compliance teams. It deploys AI agents that automate manual compliance work across the entire content lifecycle - from pre-publication review and approvals to continuous monitoring of live websites, social media, and partner channels. Unlike traditional compliance tools, Haast learns your organization’s unique risk tolerance and applies it consistently across all content, channels, and teams. This enables marketers to self-serve compliance and resolve issues before publishing, while giving legal teams faster, more reliable oversight without becoming a bottleneck. Haast analyzes text, images, PDFs, video, and web content to identify real regulatory and brand risks, providing clear, actionable fixes. It supports both pre-launch checks and always-on monitoring, helping enterprises detect issues early and reduce exposure to regulatory fines or reputational damage. Built for complex, regulated environments like financial services, retail, telecommunications and gaming, Haast adapts to internal policies, approval workflows, and evolving regulatory requirements across regions and business units. By embedding directly into end-to-end workflows, it replaces slow, manual review processes with scalable, automated compliance infrastructure. The result is faster go-to-market, reduced compliance risk, and a more efficient way for marketing and legal teams to work together.