ReSO
ReSO AI is an AI search optimization platform designed to help brands get discovered across large language models like ChatGPT, Perplexity, and Google AI Overviews. It shows how AI engines see, cite, and recommend your company before competitors do. ReSO analyzes real prompts used by buyers and maps them to your product features, positioning, and ideal customer language. The platform reveals whether your pages are being cited by LLMs and measures share of voice against competitors. It also identifies technical issues that prevent AI systems from reading or recommending your content. ReSO prioritizes fixes that directly impact AI visibility and citation likelihood. With prompt-level insights and actionable recommendations, ReSO turns AI discoverability into a measurable growth channel.
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Akii
Akii is an AI search intelligence and visibility optimization platform designed to help businesses understand and improve how their brand is represented across AI-powered systems such as ChatGPT, Gemini, Claude, Perplexity, and Microsoft Copilot. It continuously monitors how these models interpret, rank, and recommend a brand, providing real-time insights into visibility, authority, and overall perception within AI-generated responses. It includes tools such as AI visibility tracking, brand audits, competitor intelligence, and website optimization, enabling teams to identify gaps, risks, and opportunities that affect how their content is discovered and cited. By analyzing live AI outputs rather than traditional search rankings, Akii reveals which competitors are being recommended, why they are favored, and how positioning shifts over time. It also delivers prioritized, impact-based actions that help teams improve discoverability and refine content.
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Rankfor.AI
Rankfor.AI measures brand visibility inside AI-generated answers across models, languages and personas, then delivers content plans to fix the gaps. Marketing teams see which sources AI assistants (ChatGPT, Gemini, Perplexity) cite about their category, how often their brand is recommended versus competitors, and what content changes move those answers. The platform maps the searches AI runs before naming brands (Answer Trail), scores visibility per model and language, and tracks changes over time. Built on Rankfor research: an analysis of 167,551 AI citations found 85.7% come from third-party sources, not brand websites.
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Amadora AI
Amadora.ai is an AI search optimization platform built for marketing agencies and growth teams navigating an AI-first world.
Unlike basic trackers, Amadora goes beyond visibility scores to decode how LLMs—including ChatGPT, Perplexity, and Google AI Overviews—perceive and recommend brands. By analyzing citations at the source level, the platform identifies the specific pages, third-party sites, and content types that influence AI responses.
Designed for agency workflows, Amadora transforms raw data into prioritized action plans. Through competitor isolation, intent grouping, and citation categorization, users can pinpoint exactly why a brand is (or isn’t) being cited. Instead of just monitoring metrics, teams get a clear roadmap for content and distribution strategies that move the needle.
Amadora is the bridge between AI search data and execution, providing the cross-LLM insights and practical next steps required to dominate the new search era.
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