Amionai is an SEO software powered by artificial intelligence, designed to identify opportunities and propose concrete action plans. It transforms complex data into clear, measurable recommendations that can be directly used by your marketing team. In a few clicks, Amionai synthesizes AI signals into operational actions: priorities, responsibilities and progress indicators to guide your daily decisions effectively.
Amionai brings AI and SEO together to track your visibility where AI models consult signals and sources. The SEO landscape has become fragmented: algorithms are evolving rapidly, data is piling up, and opportunities are hidden in a variety of formats. Without the right tools, it's easy to miss key signals or to overlook areas that influence the attention of models. Amionai simplifies this work by mapping opportunities, triggering weekly actions, and providing measurable results that integrate with your existing processes. This creates a clear view: prioritizing efforts and tracking impact.
Among the key features, you will find a AI visibility monitoring that detects relevant variations, a weekly action plan that turns insights into concrete tasks, a source analysis and quotations to understand who references your brand, a Smart report which summarises the results and a competitive benchmark to track your progress. The system prioritizes actions based on their expected impact on your metrics, and offers indicators that are easy to follow so teams can quickly align content, technical, and outreach with your marketing goals. This approach guarantees measurable gains and reliable, sustainable traceability.
To avoid confusion, Amionai is neither a scraping tool, nor a simple CMS. It's not a magic promise: it's an AI-centric platform that brings together analysis, recommendations, and execution around concrete goals, while ensuring transparency and traceability. It is aimed at marketing and SEO teams who want to master AI signals, measure impacts and quickly adapt their strategies without losing track today.
In summary, Amionai offers a clear overview of your presence in AI responses, combined with precise and measurable actions. For a manager, this means better understanding where to focus efforts, managing budgets, and demonstrating the impact of decisions, while maintaining human expertise and the quality of content. This approach avoids excessive promises and favors measurable progress over time with consulting teams.
LLMRefs is an SEO software powered by artificial intelligence. It tracks, analyzes, and optimizes your visibility in AI-generated searches, including ChatGPT, Gemini, and Claude.
In a changing SEO landscape, authority signals and results generated by AI are no longer just links. LLMRefs centralizes the monitoring of your visibility in AI engines and explains why your content is cited or ignored by models like ChatGPT or Gemini. New practices are needed: decisions are based on real-time data and on the understanding of AI phenomena that influence rankings and user responses.
For example, an e-commerce publisher can track changes in positioning after the launch of a product and adjust category pages accordingly.
Key features include: real-time tracking rankings on the main AI models (ChatGPT, Google Gemini, Claude), exploration and monitoring of keywords thanks to the AI Keyword Tracker, quick competitive analysis to identify gaps and opportunities, automated reports that translate data into clear actions and targeting the sources cited to strengthen your credibility with AIs. You also have a consolidated dashboard, customizable alerts, and a ready-to-use CSV export for teams.
The platform also facilitates collaboration: shared views, comments, and quick exchanges between marketing and content teams.
LLMRefs is not a simple traditional SEO citation tool or an AI editing platform that generates content without a framework. It is an insights and optimization platform based on AI signals and model data to guide marketing and SEO decisions. It does not impose unique workflows, it adapts to your ecosystem and your goals, whether you are an online store, agency or large account.
Also note that LLMRefs does not assume human expertise or a global content strategy; it complements the analyses and actions planned by your team.
By making visible what AI engines use to assess your content, LLMRefs helps align your strategy with current AI requirements. The software helps marketing managers prioritize actions, measure impact, and iterate quickly without unnecessary complexity. The aim is to provide operational clarity and better visibility into real performance in AI environments.
This alignment with AI requirements can help prioritize tests and demonstrate the impact of optimizations on results.
