Scrunch AI is artificial intelligence-based SEO software that is transforming the way teams optimize online presence. Its promise: to make AI useful and accessible to assess, prioritize, and act on content and search performance.
In a landscape where SEO results are changing rapidly, Scrunch AI offers an AI-guided approach that helps to understand why some pages perform and others stagnate. The tool relies on contextual analyses and AI signals to clarify priorities and reduce data noise. Professionals get lost in heterogeneous dashboards, historical data does not easily intersect with AI signals, and decisions lack traceability. Scrunch AI combines this information into a unified view and explains the choices with concrete examples and measurable metrics.
3 to 5 functionalities punctuate daily use: AI-driven content analysis to identify the gaps, Position and voice tracking in order to measure competitive impact, optimization recommendations targeted and operational dashboards that turn data into action. The tool also audits historical data, assesses the reliability of sources, and simulates scenarios for marketing priorities. Then he suggests a action plan with concrete, responsible steps and deadlines. Finally, it facilitates integration with existing tools and offers quality controls to avoid biases. Each feature is designed to be rapidly deployable by a marketing team and to adapt to B2B or B2C needs, without requiring deep technical expertise.
Scrunch AI is not an automatic content generator and it does not replace a human editorial strategy. It does not promise instant miracles and is not a substitute for an SEO team. It is an analytical assistant that reveals opportunities and clarifies decisions, while remaining transparent about the limitations of data and models. It does not collect sensitive data without consent and adheres to the compliance and security frameworks that guide businesses.
By bringing together data, context, and usage scenarios, Scrunch AI brings a coherent vision of online presence to AI-powered research. The objective is to quickly align actions with real issues, without abandoning the rigor and traceability necessary for marketing governance. For managers, this means better prioritization and demonstration of the impact of investments on performance.
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.
