MentionLab is an SEO software powered by AI. It helps teams understand and improve their visibility in the results and responses generated.
Today, SEO is guided by evolutionary algorithms and AI systems that define results. Teams struggle to track relevant mentions, prioritize opportunities, and measure the impact of actions. MentionLab centralizes analysis, automates monitoring and transforms data into actionable recommendations. This approach guarantees better traceability of actions and reduces duplication in SEO efforts. It also makes it possible to quickly demonstrate the impact of optimizations to management.
Fundamental, MentionLab integrates 4 key functionalities. Query analysis to identify areas with high potential and guide optimizations. Source mapping in order to target the influences that fuel AI results. Sentiment tracking that measures the opinion around your brand and informs reputation actions. Visibility and traceability a transparent crawler that explains how content is found and interpreted. At the same time, the platform offers clear data visualization, relevant alerts, and adaptable reports for teams and agencies.
To avoid confusion, MentionLab is not an automated writing platform, or an advertising solution, or an uncontrolled scraping tool. It does not replace human expertise but supports strategic decisions and alignment with your goals. This software doesn't promise results without action; it turns information into recommendations that your teams can validate. It's not just a data connector either: it integrates to support clear governance of SEO initiatives.
By bringing together data, insights and actions around AI, MentionLab offers a measurable approach to modern SEO. It helps brands and marketing teams gain clarity about opportunities, reduce uncertainty, and align their efforts with concrete results, without forced software commitments. Neutral testing can be useful to quickly assess the impact on your workflows. This approach makes it possible to communicate results more transparently and prepares for the evolution of internal practices towards useful and ethical AI. In practice, this means concise reports, relevant alerts, and gradual integration with teams, so everyone can act quickly without unnecessary complexity and with confidence.
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.
