Goodie AI is an artificial intelligence-based SEO software that optimizes your visibility in AI engines and response assistants. It transforms data into concrete actions to understand and control your presence in AI environments.
In a world where results are also built in AIs and generated responses, traditional SEO shows its limits. Optimized pages no longer guarantee visibility when AI engines prioritize context and synthesized signals. Goodie AI is responding to this change by monitoring, recommending, and orchestrating your presence on the most used AI platforms in order to remain relevant and audible.
It responds to the AI gap and favors relevance and consistency for trust.
Goodie AI brings together clear and complementary functionalities: AI Visibility Monitoring to track where your brand appears in real time; AI Optimization Hub to convert insights into concrete actions; AEO Content Writer to generate content aligned with AI requirements; Traffic and Attribution to link visits to AI results; Topic Explorer to identify high-potential topics. Together, they offer Time saver, precision and strategic alignment on AI engines and assistants.
In practice, the tool transforms these insights into concrete actions: prioritization of semantic keywords, AI-friendly editorial calendar and alerts on emerging opportunities, with clear traceability of results over time.
Goodie AI is not a traditional SEO tool that focuses only on keywords. It is not an automated content builder without a strategic framework, nor is it a simple analytics tool that is content with dashboards. It is an AI-First Optimization platform, designed to understand AI dynamics and guide the company in mastering its digital story on AI engines and assistants.
To avoid confusion, it is a results-oriented and strategic solution, not a replacement for human teams. Its aim is to inform choices, not to write the content for you or to ensure effortless performance.
In short, Goodie AI offers an approach adapted to new AI-assisted search environments. It makes it possible to capture emerging opportunities, monitor efficiency in real time, and align teams around a coherent story. For marketing leaders, it is a pragmatic way to reduce uncertainty and guide decisions towards measurable gains in the AI ecosystem and offers a clear trajectory for the team.
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.
