AiCarma is an SEO software driven by artificial intelligence that transforms the way you understand and act on online results. It offers analyses, recommendations, and action plans based on generative models to improve your visibility. Designed for marketing managers and teams, it focuses on explainability and measurable action.
Today's SEO suffers from scattered information, unconsolidated data, and a tempo that's too slow to adapt to evolving searches. AiCarma brings together insights and automates prioritization, so your teams can act quickly and accurately. The tool collects data from a variety of sources, filters noise, and proposes a clear plan of action for each priority.
Generative audit of pages and keywords, to detect opportunities and risks and propose concrete actions. Content planning and keyword suggestions based on AI, in order to Save time and to align your messages with the real intentions of users. Monitoring competitiveness in real time, with clear measurements and proactive alerts. Automated and customizable reports that synthesize results and guide decisions. Seamless integration with your existing tools for workflows simple and effective. Dashboards are customizable and adapt to your goals, whether in terms of audience, positioning or ROI. In addition, the tool offers test scenarios and impact simulations to assess choices before they are implemented.
What AICarma is not: a simple content generator, nor a marketing magic tool. It doesn't replace human expertise or eliminate testing; it provides data and scenarios to inform your choices. It does not promise a miracle solution, but is part of a data-driven and results-oriented approach. It does not replace internal expertise or real tests; it complements them.
In summary, AICarma offers a clear and measurable approach to AI-driven SEO optimization. For a marketing manager or manager, the tool offers a synthetic vision, actionable insights and a capacity for continuous adaptation without unrealistic promises. This tool is aimed at CEOs as well as operational managers, as it translates data into concrete and understandable action plans. Its clear indicators that can be revised over time facilitate decision-making and team alignment. The results can be shared easily with the team. This helps management levels prioritize without overburdening teams in the short term.
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.
