SEO2LLM is a software powered by artificial intelligence that transforms your approach to online visibility. It combines data analysis, recommendations and automation for sustainable and measurable results.
In today's landscape, SEO is evolving rapidly and data is multiplying. Without an adapted tool, priorities are lost between volumes, competition and algorithm changes. Teams spend time blending disparate relationships, losing sight of the most impactful opportunities. SEO2LLM provides a concrete response by aligning analysis, strategy and execution.
In practice, this means more transparent workflows, less back and forth, and more predictable results for marketing teams.
3 to 5 key functionalities allow you to act quickly and accurately: automatic keyword generation to target the right topics and words that convert, technical audits to solve the crawl brakes and detect the pages, optimization plans that prioritize actions with high potential and performance monitoring that measure impact and adjust priorities on an ongoing basis. You also benefit from a collaborative dashboard that brings together goals, tasks, and results, making it easy for marketing and content teams to sync. All this is based on AI models that learn from your results and the sector context, and that suggest relevant iterations to remain competitive.
Exports and integrations make it possible to feed into stakeholder reports without copying data, reinforcing the credibility of recommendations.
SEO2LLM is not a magic wand or a self-service content generator. Nor is it a total replacement for experts; it is an assistant who structures data, suggests priorities, and accelerates execution while remaining under human control. It does not replace sectoral knowledge or the creativity of teams, but it multiplies their effectiveness by providing them with a repeatable framework.
SEO2LLM respects ethical practices and rules, avoiding manipulation and prioritizing compliance.
In summary, SEO2LLM brings analysis closer to action: it helps teams prioritize, automate, and measure their efforts to gain consistency and visibility. This approach is based on an iterative and results-oriented logic, without unrealistic promises. A descriptive test may be considered to assess complementarity with your current practices and medium-term goals. This is part of a sustainable and measurable approach for you.
A demonstration mode may be considered to assess adaptation.
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.