
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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Windocks offers customizable, on-demand access to databases like Oracle and SQL Server, tailored for various purposes such as Development, Testing, Reporting, Machine Learning, and DevOps. Their database orchestration facilitates a seamless, code-free automated delivery process that encompasses features like data masking, synthetic data generation, Git operations, access controls, and secrets management. Users can deploy databases to traditional instances, Kubernetes, or Docker containers, enhancing flexibility and scalability.
Installation of Windocks can be accomplished on standard Linux or Windows servers in just a few minutes, and it is compatible with any public cloud platform or on-premise system. One virtual machine can support as many as 50 simultaneous database environments, and when integrated with Docker containers, enterprises frequently experience a notable 5:1 decrease in the number of lower-level database VMs required. This efficiency not only optimizes resource usage but also accelerates development and testing cycles significantly.
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Synthetic Users
Synthetic Users is a cutting-edge platform that harnesses the power of AI to enhance user research through advanced natural language processing and large language models, allowing for the creation of synthetic personas that mimic genuine human behavior with remarkable accuracy, achieving what is termed "synthetic organic parity." This innovative feature enables research teams to quickly define their objectives and carry out qualitative and quantitative studies—such as in-depth interviews, concept testing, problem exploration, customized scripts, or surveys—in just minutes, a stark contrast to the weeks that traditional methods typically require. Furthermore, the platform constructs comprehensive personality profiles for each synthetic participant and employs a multi-agent system to mimic dynamic, context-sensitive dialogues and decision-making processes, ultimately uncovering valuable insights about products. This approach significantly assists in validating concepts, enhancing user experiences, prioritizing development strategies, and analyzing behaviors across diverse audiences. Additionally, users can augment their simulations with proprietary data, thereby increasing the relevance of insights and ensuring a more accurate portrayal of user behavior. By integrating these sophisticated capabilities, Synthetic Users equips teams to make informed decisions more rapidly and effectively, fostering a more agile research environment. Consequently, this not only streamlines the research process but also enhances the quality of insights gathered, leading to better product development outcomes.
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Deepsona
Deepsona is a cloud-based AI market research platform that delivers predictive consumer insights through synthetic audience simulations. Designed for enterprise product teams, marketing departments, and strategy consultants, Deepsona accelerates go-to-market decisions by evaluating commercial viability before launch.
The platform uses behavioural science-driven synthetic audiences to test product concepts, pricing models, messaging strategies, and brand positioning. Unlike traditional market research that relies on surveys and focus groups, Deepsona provides real-time predictive analytics on consumer behaviour, sentiment, and conversion likelihood.
Key business benefits include faster time-to-market validation, reduced research costs, and higher confidence in early-stage product decisions. The platform integrates concept testing, competitive positioning analysis, and audience sentiment evaluation into a single workflow—eliminating the need for multiple research vendors and fragmented data sources.
Deepsopa serves industries including SaaS, consumer technology, financial services, and professional services. Validation studies demonstrate that multi-trait synthetic audiences produce comparable predictive accuracy to traditional methods at a fraction of the time and cost.
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