Business Software for Meta AI

Kana is an innovative marketing platform that empowers teams to convert disjointed marketing data into timely decisions and quantifiable business results. By integrating data throughout the marketing landscape, it consolidates information that is typically scattered across various tools and uncovers emerging patterns, risks, behavioral cues, and opportunities. The platform provides recommendations and implements next-best actions, eliminating the need for manual speculations with decisions grounded in data aimed at enhancing performance. Serving as a marketing operating layer, Kana interfaces with email services, advertising platforms, CRMs, spreadsheets, and other software, utilizing AI agents to synchronize data and actions seamlessly. Unlike traditional generative AI that merely responds to user queries, its agents are designed to pursue objectives, orchestrate complex workflows, analyze signals in real-time, and carry out actions throughout the marketing infrastructure, thus enabling a more cohesive and efficient marketing strategy. This holistic approach ensures that teams can navigate their marketing efforts with greater agility and insight.

Authority Radar is a comprehensive SEO platform that integrates search visibility, monitoring of AI answer-engine presence, content recovery, and planning functionalities all within a single interface. Unlike conventional tools that merely inform you of your Google ranking, Authority Radar offers a deeper analysis, monitoring your brand's visibility in AI answer engines such as ChatGPT, Perplexity, Gemini, and Claude. It provides insights on the frequency of your appearances, the sentiment associated with them—be it positive, neutral, or negative—how you stack up against your competitors, and which websites are contributing to those responses, empowering you to strategically position your brand. Additionally, on the Google front, it seamlessly integrates with Search Console with just one click, transforming raw data into organized topics, identifying cannibalization issues, and highlighting quick-win opportunities for improving click-through rates, all while preserving a historical record beyond Google's standard 16-month data retention limit. Furthermore, its Content Recovery features not only identify pages that have experienced traffic declines but also offer actionable strategies to reclaim that traffic, allowing users to validate the effectiveness of their improvements. This holistic approach ensures that users are equipped with the tools needed to enhance both their search visibility and content strategy effectively.

Hive stands out as the pioneering platform that offers a comprehensive sustainability solution tailored specifically for businesses in the marketing sector. Its advanced mapping engine is designed to integrate smoothly with any data source via APIs, enabling the automatic alignment of data sets with globally accepted emission factors and industry benchmarks, thus allowing organizations to accurately calculate their carbon emissions. Moreover, Hive's mapping engine assesses all media delivery across the organization and aligns the necessary data sets to conform with the methodologies of both brands and agencies. By simplifying the procedure, Hive not only enhances efficiency but also guarantees precision in evaluating and reducing carbon footprints. Utilizing Hive's extensive suite equips clients with thorough tracking of carbon emissions, enabling them to easily oversee emissions from various business activities, including media delivery by channel, which supports better decision-making processes. With its user-friendly platform, Hive empowers businesses to stay proactive in their sustainability efforts. Furthermore, this innovative approach helps companies build a more responsible and eco-friendly future.

Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI.

AEOBox serves as a robust platform designed to enhance brand visibility within AI-driven discovery platforms such as ChatGPT, Google AI Overview, Perplexity, Claude, Grok, and Meta AI. By integrating strategic content creation with performance monitoring and AI visibility analytics, it evaluates a business's presence in generative AI searches, crafts AI-optimized content, and elevates brand recognition in the evolving landscape of AI search and discovery. In this AI-centric era, AEOBox empowers businesses to amplify how their brands, products, and expertise are showcased within conversational AI applications and AI-powered search systems. The platform effectively merges intelligent automation with creative input to produce, disseminate, and refine content that is easily digestible and reliable for AI technologies. Furthermore, with its comprehensive analytics and reporting features, AEOBox acts as a visibility engine that links top-tier content to quantifiable inbound demand, ensuring that brands can thrive amidst the dynamic challenges of the digital marketplace.