
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.
Using applied AI and data science at scale, we give brands statistical confidence in our actionable insights. We decode what gets brands mentioned more and ranked higher, provide reliable brand monitoring and competitive intelligence, then deliver actionable content strategies that move the needle. Our AI SEO and AI search engine optimization tools are built for how LLMs actually work.
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: Specific content, messaging and distribution tactics that increase your AI search visibility.
Dedicated Customer Success: Hands-on training and strategic guidance to turn insights into improved performance in AI search.
Built for AI search as a channel: Organic visibility today, paid advertising and commerce tomorrow.
Proven Leadership: Founded by The Trade Desk veterans who pioneered data-driven digital advertising. Backed by data scientists from OpenAI, Meta and other AI leaders.
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kama.ai is a Responsible AI Agent platform that gives you an accurate, accountable, and safe AI for your organization. It is used for training, quick source of truth for compliance issues, internal support, customer service, and for specialized communities needs.
Unlike generic GenAI tools that create answers probabilistically, kama.ai combines deterministic Knowledge Graph AI with governed Generative AI and Trusted Collections. Trusted Collections is a RAG technology that minimizes generative side hallucinations, while providing a core source for accurate, brand-safe, and a correct information source for AI answers. It lets organizations control what their AI Agents know, where answers come from, and how information is delivered to employees, customers, learners, members, or community users.
kama.ai’s platform is designed for situations where answers must be accurate, traceable, brand-safe, and aligned with approved source material. Human experts and Knowledge Managers can curate content, review AI-generated drafts, manage knowledge domains, and improve responses over time. This supports a governed-in-advance approach to AI, rather than relying on after-the-fact correction.
kama.ai is especially well suited for knowledge-heavy organizations, training programs, compliance environments, Indigenous and community-focused initiatives, HR support, education, research, and other use cases where trusted information matters.
This platform focused on Responsible AI use and delivery, results in safer AI adoption, better knowledge access, reduced repetitive workload, and more consistent support for the people who rely on your organization’s expertise.
Think kama.ai for trusted AI, governed knowledge, and answers your organization is willing to stand behind.
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Wikis.ai
Wikis.ai is a versatile AI workspace that enables users to pose a single question and receive distinct, independent responses from various leading AI models displayed side by side. This platform eliminates the need to flip between different tabs and services; instead, users can send a unified prompt to models like GPT, Claude, Gemini, and DeepSeek, allowing them to observe each response in real-time and compare diverse methodologies within a well-organized grid. By maintaining the complexity of each answer, it prevents the oversimplification of multiple viewpoints into a singular anonymous response, thus aiding users in identifying points of agreement and contention among the models, as well as claims that may require additional scrutiny. Instances of consensus can act as an initial indicator of reliability, while areas of disagreement emphasize topics that merit further exploration. Additionally, Wikis.ai features an AI Wiki that offers editorially curated guides covering essential AI concepts, various models, infrastructure, agent frameworks, safety considerations, and other relevant subjects, enriching the user’s understanding and engagement with AI technologies. This comprehensive approach not only enhances the user experience but also promotes informed decision-making when leveraging AI insights.
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Talkory.ai
Talkory.ai eliminates the need for users to switch between multiple AI tools by allowing them to submit a single question to five different models simultaneously, consolidating the results into a reliable answer. With one prompt, Talkory queries GPT, Claude, Gemini, Perplexity Sonar, and Grok at the same time, displaying where the models converge and diverge, as well as identifying the most effective response. Rather than tediously entering the same question into various platforms and manually compiling the answers, users receive all five responses side by side within moments, sorted by their quality, completeness, and clarity. Talkory creates a Consensus Answer that merges and ranks the responses from all LLMs into a single authoritative and confident result, alongside a Common Answer that underscores the specific points and ideas that were consistently present across all models. Additionally, the Recursive Correction feature prompts each model to assess, amend, and refine its initial response, yielding a more precise second response automatically, thus enhancing the overall reliability of the answers provided. This innovative approach not only saves time but also improves the accuracy of the information users receive, making it a powerful tool for anyone seeking comprehensive insights.
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