Promptwatch is intelligent SEO software that helps businesses understand and optimize their presence in AI-generated responses. It tracks mentions, quotes, and traffic from AI platforms to inform your decisions. Designed for marketing decision makers, Promptwatch reveals the connections between content, prompts, and results.
In today's ecosystem, SEO relies as much on organic results as on AI responses. Engines are evolving and AI platforms are dictating new visibility rules. Without a unified view, SEO actions lack traceability and responsiveness. Promptwatch provides a consolidated vision: you identify who is talking about your brand, when and how, and you quickly adapt your content.
In practice, this allows teams to quickly align content, prompts, and business priorities, and get clear metrics like AI traffic, conversion rate, and voice sharing across AI platforms and competitive signals.
Three to five key features help you structure your AI strategy. Real-time tracking mentions to prevent negative spikes and capture opportunities. AI attribution to link AI traffic to your pages and landing pages. Visibility scores that measure your positioning on each AI model. Content optimization with targeted recommendations and automatic updates when gaps appear. One neutral test can be done to assess the impact without immediate changes. All of this results in greater efficiency and better predictability of the results.
Promptwatch is not a historical SEO tool or a low-cost content creation solution. It is not a replacement for your SEO analysts or a simple analytics dashboard. It complements existing tools by adding an AI-oriented layer in order to avoid misunderstandings between promise and user experience. This does not exclude the possibility of integrating Promptwatch with your existing systems via API, or exporting data to your marketing reports.
In short, Promptwatch gathers AI signals and turns them into clear guidelines for your digital strategy. You gain clarity on opportunities, you measure the impact of actions, and you align content, timelines, and customer experiences in a transparent framework. The objective is sustainable visibility in the AI ecosystem without unnecessary over-promises. For management, this means better coordination between teams and traceability of results over several periods.
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.
