Waikay is an artificial intelligence-powered SEO software that is transforming the way your brand sees and is found online. It combines analysis, action plan and content monitoring to optimize your visibility and limit the risks of misinformation. This promise is based on reliable AI and controlled data.
Today's SEO is drowned in scattered data and contradictory information. Teams lack visibility into what AI engines really know about their brand, and action plans often remain abstract. Waikay brings these elements together and turns analysis into concrete action. The indicators mix: search volumes, page quality, link authority, and the results remain difficult to interpret without a unified framework.
Prompt visibility monitoring to measure the impact of each AI request on your brand, Brand AI score which assesses reliability and thematic sharing, Fact-checking who identifies errors and factual discrepancies, GEO maps who transform insights into concrete actions, and Competitive comparison to locate your performance. Onboarding is fast and reports adapt to your language and sector, with privacy controls and permissions adapted for teams.
Waikay is not a content generation tool or a general marketing solution. It is not a simple data aggregator without context. It is a platform specialized in AI-driven SEO optimization, focused on the clarity of insights and measurable action. It does not replace human expertise but complements it, by providing frameworks and guidelines for prioritizing actions and verifying results.
In summary, Waikay helps marketing executives and managers understand what AI knows about their brand and influence their positioning on AI engines. The aim is a more transparent vision, actionable plans, and better resilience in the face of fluctuations in the digital landscape. An exploratory test may be considered to evaluate the tool without commitment. What matters is the traceability of actions and the ability to quickly recalibrate priorities. The reports are designed to be understood by an executive committee and to guide quarterly decisions. Data security is a priority and access is managed by role.
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.
