Daimonia · Agent-to-Agent Marketing. Make You the Answer.

When users ask ChatGPT, Gemini, or DeepSeek a question, it is each platform’s AI agent that filters information and makes the recommendation. A2A (Agent-to-Agent) Marketing means marketing happens directly between agents: our marketing agents run the five-step loop (Define, Build, Create, Amplify, Measure) on your brand’s behalf, continuously supplying accurate, consistent, verifiable brand facts to every AI platform, and the AI your customers use reads, trusts, and cites them. Being recommended in AI answers (the visibility GEO solves) is only the first-layer result of this paradigm. Beyond it comes having AI understand your brand and products precisely, and recommend you to the people whose needs actually match.

AI answer visibility (GEO) is the core piece of A2A Marketing, but not the whole of it. GEO gets your brand recommended in AI search; beyond it, we also offer Brandwiki, AI-Friendly Websites, a Digital Media Agent, AI Marketing Consulting, and a Trends Radar. Together these six product lines run the full loop: Define, Build, Create, Amplify, Measure.

We offer six product lines: AI Answer Visibility (GEO); Brandwiki, a structured brand fact base where every fact is sourced and approved by you; AI-Friendly Websites that carry those facts in a form AI can crawl and read; a Digital Media Agent that creates brand content and distributes it across platforms; AI Marketing Consulting that takes you from diagnosis to rollout; and a Trends Radar that monitors trends in real time and suggests content. You can use just one of them, or combine them into a full program.

We measure two core metrics through anonymous stress testing: AI recommendation rate (the share of relevant AI answers featuring your brand) and fact citation rate (the share of AI answers citing your content). Clients we’ve served measure 86% and 72%. On top of the two rates, we weight the query set across brand, category, and scenario tiers into AMI (AI Mindshare Index): one number that tracks your overall standing in AI’s understanding.

No, for two reasons. First, the shift has already happened: 88.6% of Chinese consumers consult AI before buying, and numbers elsewhere point the same way: your customers are asking AI today. Second, AI knowledge settles in layers: some of what models cite at answer time makes its way into the training corpora of later models, gradually becoming knowledge the model simply has. The facts you supply now shape more than today's answers. Nobody can promise how much or how fast that settling happens, but the direction is clear: this work has an order to it, and brands that start earlier build a deeper base.

The test is whether your customers make decisions inside AI: if buyers ask AI for recommendations, comparisons, or verification before choosing, you need A2A Marketing. From our delivery experience, two kinds of companies see the most direct returns: professional-services firms with deep offline reputations but thin online facts: invisible to AI, so supplying facts has the highest marginal payoff; and brands in competitive, high-trust categories, including those going global or entering China, where the accuracy and consistency of brand facts decides whether AI dares to recommend you at all. If visibility is all you need for now, start with the GEO line alone; running fact supply, content creation, and measurement as a continuous loop is the full A2A Marketing.

Yes, and there are three ways. The easiest is our service: marketing agents take the whole chain from diagnosis to monitoring on your behalf, people approve the key decisions, and results are checked against AI recommendation and fact citation rates. The second is self-serve with our product (in beta): agents handle diagnosis, production, and monitoring while you set the pace. The third is fully by hand: build an AI-readable site, keep producing content across platforms, and track every AI engine yourself. It works, but crawler behavior, testing methodology, and platform rules all have to be learned the hard way, and the real cost is far higher than it looks; we don’t recommend it. For most brands the sensible first step is a free diagnostic to see where you stand, then choose a path.