Daimonia is building the Agent-to-Agent Marketing Platform: our marketing agents work with AI assistants across platforms to help your brand get found, understood, and recommended.
What We Do
We’re building the Agent-to-Agent Marketing Platform.
When users ask ChatGPT, Gemini, or DeepSeek a question, AI agents give them direct answers and recommendations. To be chosen, a brand has to be found, understood, and recommended by those agents. We use cutting-edge agents to market directly to the AI agents on each platform, putting your brand and products into more of AI’s answers. Visibility is only the first step: beyond it, AI comes to understand your brand and products precisely, and recommends you to the people whose needs actually match.
That’s Agent-to-Agent Marketing: making you the answer.
How We See This Industry
When AI answers a question, the model alone isn’t enough. Brand information, product specs, credentials, reputation: these real-time facts all live outside the model and have to be fetched before answering. Models turn over every year; this layer is needed regardless of which one wins.
Split the AI ecosystem by role and it looks like this:
| Layer | What it does | Who’s there |
|---|---|---|
| 01 Models | Training and inference | OpenAI, Anthropic, Google, ByteDance |
| 02 Retrieval | Piping external information into models | Google, Bing, Bocha |
| 03 Fact supply | Feeding AI accurate brand facts | That’s us |
| 04 Transactions & payments | Agent-to-agent commerce and settlement | Stripe, Visa, UCP |
| 05 End devices | Where people and agents meet | Apps, hardware, embodied AI |
We work at layer three. Every AI ecosystem crawls different sources and trusts different signals, so brand facts have to be structured and verifiable before they can be cited accurately across platforms. That is the daily work. Data companies serve model training; we serve model inference: your customer’s question happens now, and the answer has to be right now.
One more property of this work: it accumulates in order. 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 today shape more than today’s answers. Nobody can promise how much or how fast that settling happens, but the direction is clear: brands that start earlier build a deeper base in AI’s understanding.
What We Believe
AI is producing information at unprecedented speed: text, images, video, data. One person can now produce in a day what used to take a team a year. When information is no longer scarce, what’s truly scarce is truth.
We believe a brand’s most valuable asset isn’t more content, but its own source of truth: real product strengths, real expertise, a real brand story. These are what AI trusts and recommends.
In the flood of AI-generated information, we help brands hold on to what’s true. That’s the conviction behind everything we do.
Team
We’re not a traditional marketing agency. Our team members come from Zhejiang University, University of Hong Kong, and companies like Tec-Do and BitTorrent. We have hands-on community-marketing experience across both overseas platforms (Twitter/X, Telegram, Reddit) and China platforms (Xiaohongshu, Douyin, Zhihu, Bilibili).
Our delivery pipeline is AI-driven, from diagnosis and content production to distribution and monitoring. Humans handle strategy, AI handles execution.