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.
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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.
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DeepSeek R1
DeepSeek-R1 represents a state-of-the-art open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible through web, app, and API platforms, it demonstrates exceptional skills in intricate tasks such as mathematics and programming, achieving notable success on exams like the American Invitational Mathematics Examination (AIME) and MATH. This model employs a mixture of experts (MoE) architecture, featuring an astonishing 671 billion parameters, of which 37 billion are activated for every token, enabling both efficient and accurate reasoning capabilities. As part of DeepSeek's commitment to advancing artificial general intelligence (AGI), this model highlights the significance of open-source innovation in the realm of AI. Additionally, its sophisticated features have the potential to transform our methodologies in tackling complex challenges across a variety of fields, paving the way for novel solutions and advancements. The influence of DeepSeek-R1 may lead to a new era in how we understand and utilize AI for problem-solving.
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DeepSeek-Coder-V2
DeepSeek-Coder-V2 represents an innovative open-source model specifically designed to excel in programming and mathematical reasoning challenges. With its advanced Mixture-of-Experts (MoE) architecture, it features an impressive total of 236 billion parameters, activating 21 billion per token, which greatly enhances its processing efficiency and overall effectiveness. The model has been trained on an extensive dataset containing 6 trillion tokens, significantly boosting its capabilities in both coding generation and solving mathematical problems. Supporting more than 300 programming languages, DeepSeek-Coder-V2 has emerged as a leader in performance across various benchmarks, consistently surpassing other models in the field. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, tailored for tasks based on instructions, and DeepSeek-Coder-V2-Base, which serves well for general text generation purposes. Moreover, lightweight options like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct are specifically designed for environments that demand reduced computational resources. This range of offerings allows developers to choose the model that best fits their unique requirements, ultimately establishing DeepSeek-Coder-V2 as a highly adaptable tool in the ever-evolving programming ecosystem. As technology advances, its role in streamlining coding processes is likely to become even more significant.
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