Adobe LLM Optimizer is a SaaS SEO optimization solution powered by artificial intelligence, designed to shape your brand presence in AI results and search assistants. It transforms AI exploration into qualified traffic and measurable influence throughout the customer journey.
In a landscape where AI models are constantly re-evaluating priorities, traditional SEO is showing its limits. Without a clear understanding of how your content is perceived by AI engines, visibility opportunities remain scattered and uncertain. LLM Optimizer centralizes analysis, proposes prescriptive adjustments, and measures the impact on credibility and traffic. By taking into account signals from AIs like GPT, Google AI Mode, and Perplexity, the tool helps you prioritize actions that actually change the volume and quality of traffic, and performance. The results are verified through indicators such as visibility, traffic and the quality of interactions.
Three to five key features that turn action into results: AI-ready content optimization for better relevance in the answers, deployment and governance through integrated workflows, AI exposure measurement and from voices, prescriptive recommendations for quick changes, and enterprise connectivity to integrate frictionlessly with your tools. These tools are based on clear metrics like conversion rate and time spent, and offer repeatable action plans for product and content teams.
What LLM Optimizer is not: it is not a simple traditional SEO audit tool, nor is it a standalone content generator. It does not replace your teams; it coordinates with them. It is an AI-oriented platform, designed to integrate into your ecosystem and support informed decisions through data and governance workflows. This also includes advice on the editorial calendar, rich formats, and alignment with customer experience priorities. The result is a clear roadmap: what needs to be optimized, when, and how.
In summary, Adobe LLM Optimizer offers a clear method for gaining AI visibility and qualified traffic, while measuring the impact on business goals. It is not a miracle promise, but a structured framework that transforms insight into measurable actions and sustainable value. This framework is based on AI-specific performance measures, and ensures robust governance through approval workflows and secure integrations.
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.
