AI answer visibility (GEO, Generative Engine Optimization) is more than a one-off diagnosis. From diagnosis to brand building, distribution, and results tracking, we help your brand become the answer AI gives.
What AI Sees May Not Be What You Expect
When a potential customer asks ChatGPT, Gemini, or DeepSeek a question related to your business, does AI mention you? Is the information accurate?
Most brands have never tested this. Diagnosis is the starting point, but far from the finish line. We map your current visibility, then do the brand building, distribution, and results tracking to make your brand the answer AI gives.
Which Industries Need AI Answer Visibility Most?
Law · Accounting · Consulting
Professional Services
A decade of referrals means nothing if AI has never heard of you.
Clinics · Aesthetics · Mental Health
Healthcare
Patients ask AI before they book. If you're not recommended, you're not considered.
Int'l Schools · Study Abroad · Vocational
Education & Training
Parents start their shortlist with AI's answer, and only those AI finds make the cut.
Private Banking · Wealth Mgmt · Insurance
Financial Services
AI's recommendation is becoming the new trust endorsement. It vouches, clients follow.
Cross-border · DTC · SaaS Going Global
China-to-Global Brands
What works in China doesn't cross borders. Get seen in ChatGPT and Gemini's world too.
Multinationals · Overseas Consumer
Global-to-China Brands
China's 8 major LLMs each run their own content ecosystem, and one playbook won't cut it.
Precision Mfg · Industrial Equipment · Supply Chain
B2B & Manufacturing
Buyers' AI assistants are sourcing suppliers for them. Let AI read your capabilities first.
Startups · Dev Tools · AI Products
Tech & SaaS
Category definition lives in AI's answers, and the one it remembers first sets the narrative.
How We Do It
Multiple AI Agents self-orchestrate, completing your brand’s information clarification, expression, and distribution end-to-end. Humans own the vision, requirements, and overall direction.
Diagnose: Your Brand Through AI’s Eyes
We evaluate your brand’s AI search performance across multiple dimensions: technical crawlability, content readability, structured semantics, authority signals, and citability. We also run batch queries across major AI assistants in anonymous environments, measuring brand visibility rate and content citation rate to establish an optimization baseline.
Diagnosis answers “where are you now.” Everything that follows is about getting you where you need to be.
Build: Your Brand’s Digital Foundation
Diagnosis finds the problems. Building solves them. We systematically construct your brand’s digital foundation so AI can read and find you:
- Technical foundation: ensure major AI assistants can crawl and index your content
- Content structure: reorganize how your content is presented so AI accurately understands your business and differentiators
- Structured data: semantic markup that feeds key information to AI in formats it can parse directly
- Knowledge system: build out your professional knowledge base and case studies so AI has substance to cite
We don’t hand you a report and walk away. We do the work.
Distribute: Full-Network Content Matrix
Once your brand signals are ready, they need to reach AI across platforms. We cover China’s 8 major LLMs and major global AI assistants, pushing Agent-ready brand signals into their knowledge systems.
Both ends are Agents: our Agents produce brand signals, and the Agents your customers use read and cite them. This is not content syndication. This is Agent-to-Agent Marketing: our AI talks to their AI, getting your brand into their recommendation logic.
Credibility: Authority and Real Reputation
Before AI recommends a brand, it needs to confirm it’s trustworthy. Through industry citations, professional endorsements, and real user reputation, we systematically build your brand’s credibility so AI doesn’t just find and understand you, but dares to recommend you.
Monitor: Visibility and Citation Rates
We continuously track brand visibility rate and content citation rate, running periodic retests against the baseline and letting data speak. Our methodology evolves with each model release: every new version means an updated playbook. Our clients have achieved 86% brand visibility and 72% content citation rates.
The end goal is singular: make you the answer AI gives.
Deliverables
- AI Answer Visibility (GEO) Audit Report: multi-dimensional scoring + item analysis + per-platform performance + stress-test baselines
- Digital Foundation Build: technical optimization, content restructuring, structured data deployment, and knowledge system completion, directly implemented
- Full-Network Distribution: Agent-ready brand signal distribution across all major AI assistants, Chinese and global markets in parallel
- Credibility Building: systematic construction of industry citations, professional endorsements, and real reputation
- Monitoring Report: periodic retests of brand visibility and citation rates with baseline comparison and next-round optimization recommendations
From Diagnosis to Becoming the Answer
- Diagnose. Assess your brand’s visibility across major AI assistants and deliver an AI answer visibility (GEO) audit report with stress-test baselines.
- Build. Construct your brand’s digital foundation by systematically optimizing across four dimensions: technical foundation, content structure, structured data, and knowledge system. Make AI read you and find you.
- Distribute. Using our marketing agents, push Agent-ready brand signals into AI platforms’ knowledge systems, covering all major AI assistants across Chinese and global markets simultaneously.
- Credibility. Build brand trustworthiness through industry citations, professional endorsements, and real reputation, so AI dares to recommend you.
- Monitor and Continuously Optimize. Periodically retest brand visibility and citation rates. Methodology evolves with each model release, until you become the answer.
Every phase delivers concrete outputs with measurable indicators. You always know where things stand and what’s working.
Why Conventional Brand Marketing Can’t Do AI Answer Visibility (GEO)
Whether AI recommends you isn’t about how much you advertise or how much content you publish. It’s about whether AI can read you, find you, and trust you. That takes systems engineering, not single-channel campaigns.
| Conventional Brand Services | Daimonia | |
|---|---|---|
| Method | Generic templates and guesswork | Proprietary methodology, every step auditable |
| Execution | Outsourced labor, per project | AI Agent-driven, end-to-end |
| Scope | A single service, ads or one channel only | Technical foundation + content + structured data + authority signals, full stack |
| Metrics | Traffic, impressions, followers | AI brand visibility, content citation rate |
| Coverage | One market or a few platforms | Chinese + global, all major AI assistants |
| Iteration | One-time delivery | Methodology evolves with AI platforms |
We’re not just another brand-marketing shop. Both ends are Agents: our Agents produce brand signals, and the Agents your customers use read and cite them. That’s Agent-to-Agent Marketing, a different discipline from conventional brand marketing.
We Help You Become the Answer
Expert Agents in marketing: we do marketing only. Deep, comprehensive, end-to-end. Results you can measure: our clients have achieved 86% brand visibility and 72% content citation rates. Fees tied to outcomes: a base service fee plus performance-based pricing.
Who This Is For
- Companies unsure how their brand performs in AI search, looking for a clear picture
- Brands that know AI search matters but don’t know where to start
- Teams already doing SEO that want to open AI search as a new acquisition channel
- Companies that need end-to-end management from diagnosis through execution to results tracking
Book a free AI answer visibility (GEO) diagnosis →
Platform Coverage
ChatGPT 
Gemini 
Claude 
Copilot 
Perplexity 
Grok 
Meta AI 
Google AI 
Doubao 
DeepSeek 
Wenxin Yiyan 
Kimi 
Tongyi Qianwen 
Zhipu ChatGLM 
Tencent Yuanbao 
Metaso Frequently Asked Questions
How is a GEO diagnostic different from a traditional SEO audit?
An SEO audit looks at your web pages' ranking factors on Google or Bing. An AI answer visibility (GEO) diagnostic evaluates whether your brand is mentioned and cited in AI-generated answers, covering technical crawlability, content readability, structured semantics, authority signals, and citability, with anonymous stress testing to quantify brand visibility and content citation rates.
We already do SEO. Do we need GEO too?
SEO is about search engine rankings. AI answer visibility (GEO) is about whether AI assistants recommend you. The underlying mechanics are different: SEO optimizes web ranking factors, while GEO optimizes how AI understands, trusts, and cites your brand. More users are skipping search engines and asking AI directly. GEO is the second acquisition channel alongside SEO.
How does Agent-to-Agent Marketing actually work?
Both ends are Agents: our marketing agents produce brand signals, transforming your brand facts, professional knowledge, competitive advantages, credentials, and reputation into structured information AI can understand, then pushing it into each platform's AI knowledge system. The AI assistants your customers use (ChatGPT, Gemini, DeepSeek, etc.) crawl, understand, and cite these signals when answering questions. Our AI markets to their AI. That's Agent-to-Agent.
What happens after the diagnosis?
Diagnosis is just the first step. Based on the results, we build your brand's digital foundation: fix the technical layer so AI can crawl you, restructure content so AI understands you, deploy structured data and knowledge systems so AI has substance to cite. Then we distribute Agent-ready brand signals into all major AI assistants' knowledge systems across Chinese and global markets. We simultaneously build credibility through industry citations, professional endorsements, and real reputation so AI dares to recommend you. Finally, we continuously monitor brand visibility and citation rates, evolving our methodology with each model release, to help you become the answer AI gives.
What does brand building actually involve? Will you modify our website?
Brand building covers four dimensions: technical foundation (making your content crawlable by AI), content structure (helping AI understand your business and differentiators), structured data (semantic markup that feeds key information to AI directly), and knowledge system (professional knowledge base and case studies). We don't hand you a report and walk away; we do the work ourselves, including necessary website technical optimizations and content adjustments.
How do you cover all major AI assistants? Does each platform need separate work?
Every AI platform has its own knowledge acquisition mechanisms, content preferences, and update cycles: China's Doubao, DeepSeek, and Kimi each have their own ecosystems, while ChatGPT, Gemini, and Perplexity follow different rules internationally. We customize distribution strategies for each platform rather than blasting the same content everywhere. This per-platform understanding and hands-on experience across all major AI assistants is one of our core competitive advantages.
What does 'credibility building' actually involve?
Before AI recommends a brand, it assesses whether that brand is trustworthy. Credibility comes from multiple dimensions: professional citations within your industry (being referenced by authoritative sources), professional endorsements (credentials, certifications, industry standing), and real user reputation (genuine reviews, not manufactured ones). We systematically build these trust signals so AI doesn't just find and understand you; it dares to recommend you.
How long until we see results?
The diagnostic phase typically delivers a report within 1 to 2 weeks. Brand building timelines depend on your existing foundation and optimization depth, generally 4 to 8 weeks for the first round of core optimizations. AI platforms update their knowledge on their own schedule; distribution effects typically begin showing 2 to 4 weeks after building is complete, tracked through ongoing visibility monitoring.
How do you measure GEO effectiveness?
For AI answer visibility (GEO), we track two core metrics: brand visibility rate (the percentage of relevant queries where your brand is mentioned) and content citation rate (the percentage of AI responses that cite your content). We run periodic retests against the baseline and let the data speak.
How is the 86% brand visibility rate measured?
We run batch queries in anonymous environments, asking major AI assistants typical questions related to the client's business. We then measure the percentage of responses that mention the brand (brand visibility rate) and the percentage that cite the client's content (content citation rate). Testing covers both Chinese and international platforms under consistent conditions for comparable data. The 86% and 72% figures are measured results from clients we have served.
What do we need to provide for a GEO project?
For an AI answer visibility (GEO) project, we initially need your core brand materials: business overview, key differentiators, representative case studies, credentials, and certifications (enough for us to understand your brand). During execution, your brand lead reviews key content milestones to ensure accuracy. Day-to-day execution is handled by our Agent team and will not take up much of your time.
How is GEO priced?
AI answer visibility (GEO) is priced as a base service fee plus performance-based pricing. The base fee covers the full execution cycle of diagnosis, building, distribution, and monitoring. Performance fees are tied to brand visibility metrics, aligning our incentives with your results. Specific proposals vary by situation; we recommend booking a free diagnosis first, after which we provide a tailored quote based on your current state and goals.
Our website runs on WordPress / Shopify / a custom system. Can we still do GEO?
Yes. The core of AI answer visibility (GEO) optimization is making AI able to crawl, understand, and trust your brand information. That has little to do with your CMS. Whether you use WordPress, Shopify, a custom-built system, or a WeChat mini-program ecosystem, we have technical solutions for each. The diagnostic phase evaluates your current tech stack's AI-friendliness, and the building phase addresses any gaps.
We are a B2B company. Is GEO useful for B2B?
Very much so: B2B is where AI answer visibility (GEO) pays off fastest. More and more B2B purchasing decisions start with AI. Procurement managers and business decision-makers ask AI directly: 'Who are the reliable suppliers in this category?' or 'What is the reputation of this company?' AI recommendations are influencing supplier shortlisting, partnership evaluation, and tender qualification. Making AI understand your technical capabilities and industry standing is a new acquisition channel for B2B.
Our industry is very niche. Would AI even have relevant questions about it?
Yes. Users ask AI about a far wider range of topics than you might expect, from 'best laser cutting equipment suppliers in Shanghai' to 'which clinic is best for pediatric orthodontics.' In niche industries, fewer competitors are doing AI answer visibility (GEO) work, which means a larger first-mover advantage. During the diagnostic phase, we use your business keywords to test each AI platform's actual responses, giving you data on how big the opportunity is.
How are you different from conventional brand marketing?
Conventional brand marketing runs ads, grows followers, and measures traffic and impressions. We make AI understand, trust, and recommend your brand, measured by your visibility in AI answers. We use our own marketing agents to work directly with each platform's AI agents. That is Agent-to-Agent Marketing, a different discipline from conventional brand marketing.
Can we do GEO ourselves without hiring an external provider?
In theory, yes, but the practical difficulty is high. AI answer visibility (GEO) involves technical optimization, content restructuring, structured data, multi-platform distribution strategies, and continuous monitoring, which requires simultaneous expertise in AI technology, content, and cross-platform execution. More critically, each AI platform's rules and knowledge update cycles differ, and methodology needs continuous iteration: every new model release means an updated playbook. This is not a one-time project; it is ongoing operations.