Rankscale is an artificial intelligence-assisted SEO software that turns your data into actionable decisions. It helps you understand how your site is performing, identify opportunities, and prioritize your efforts. Designed for marketing managers and teams, it combines technical precision with long-lasting simplicity and reliability.
Modern SEO is complex and evolving: algorithms that change, increasing volume of interactions, and data scattered across a variety of tools. Decisions are often based on assumptions and partial feedback, which slows implementation and business value. Rankscale addresses this lack of clarity by consolidating technical and strategic analysis into a single view. By detecting gaps and priorities, it transforms data into concrete and measurable action plans.
Rankscale includes 5 features that speed up the SEO cycle without unnecessary technical detours. First, a semantic analyzer powered by AI that proposes relevant keywords and potential topics, with actionable recommendations. Second, a real-time page audit that identifies technical bottlenecks and optimization opportunities, and prioritizes fixes based on business impact. Thirdly, a content generator guided by user intent, capable of offering optimized structures and titles. Fourthly, a dashboard and performance monitoring, with clear indicators and adapted filters. Finally, a collaboration module that facilitates exchanges between teams and partners, strengthening implementation. Key benefits include gain in visibility, reduction in working hours and strategic alignment on the overall goals of the company.
Rankscale is not a keyword generation tool or a report catalog. It does not replace a strategic team and does not promise guaranteed results that are genuinely fast. Its role is to increase clarity, align actions with goals, and reduce uncertainty, by providing a repeatable and auditable approach to SEO.
In summary, Rankscale combines artificial intelligence and operational rigor to inform your SEO choices. You get a consolidated vision of performances and priorities, concrete recommendations and an auditable record of decisions. The software helps to gain speed without sacrificing quality, by promoting effective collaboration between marketers, developers, and external partners. The objective is to obtain measurable results, while maintaining a responsible approach to data and algorithmic ethics.
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.
