AI agents are your new customers.
They have budgets. They make decisions. And they can't use a single thing on your website. We open the doors.
Agents don't browse.
They query.
Every major tech company is building agents. Not chatbots — autonomous actors that research, evaluate, and procure. When they arrive, they ask one question: Who solves this problem?
Your configurators, pricing logic, compatibility rules — twenty years of domain knowledge. None of it is in any training set. Agents can't hallucinate it. That's your unfair advantage. But right now, it's locked behind interfaces they can't use.
Three doors to open.
Everything you've invested in brand building only counts if these three doors are open. Otherwise, you don't exist to the agent.
Discover
Agents must find you in AI answers, not Google rankings. 15,000 pages of marketing, and the AI cites the competitor with 35 structured answers. We make you citable.
Tested across ChatGPT, Perplexity, Claude & Gemini.
Trust
The agent found several options. No brand loyalty. Pure evidence-based comparison: verified claims, structured data, provable accuracy. Brand becomes a reliability score.
We build the evidence layer on your domain.
Act
Found you. Trusts you. Now it needs to act. But your configurator runs in JavaScript. Your quote request is a PDF form. We make your tools machine-callable.
Same logic, new endpoint, no rebuild.
Agent Surface: Commerce
Agent Surface: Talent
Agent Surface: Service
Unified Agent Surface
How agents read your brand.
Your brand's machine-readable surface — structured for agents, rendered for humans. Reference Pages anchor your domain expertise as hubs. Answer Pages surround them with discoverable content agents cite, verify, and act through.
Five agent types scanning your brand from different angles — the same way real AI agents do. We test what agents actually see, where you appear, where you don't. The Agent Readiness Score and the DAX 40 Index both run on this fleet.
The more you invest, the wider your surface, the harder you are to displace.
Same backend.
New front door.
Rendered UI. Human clicks. Page loads. Works — but invisible to agents.
Same data. Same logic. 100x faster. Millions of simultaneous requests.
The Backend: Identical. This isn't a rebuild. It's a new access layer.
Voices
MING Labs didn't just build a product finder — they changed how our customers discover filtration solutions. The AI handles 3,000 SKUs with a confidence our sales team trusts.
We built the backends.
Now we open them.
15 years of digital transformation for industrial enterprises. We built the systems that now need a new front door. UX made them usable for people. We now make them usable for machines.
We didn't just consult on agent readiness — we built the platform. Hyperize makes brands visible to agents and usable by agents: Answer Pages on your domain, a five-agent fleet that tests what agents actually see, and the Agent Readiness Score that measures all of it. A MING Labs venture. A running product.
hyperize.ai
From score to production
in four steps.
Score
We test what AI sees when it searches for your category. Where you appear. Where you don't. What agents can actually do on your site today.
Agent Readiness Snapshot (free, 48h) or Full Report (detailed, all three doors).
Strategize
Where is your biggest lever? Which doors open first? We map your existing digital infrastructure, identify the highest-impact tools and content, and build a prioritised roadmap.
Agent Experience Blueprint with implementation roadmap.
Build
Your tools, your data — made callable for agents. Structured content for discovery, API endpoints for your existing tools, context tracking across touchpoints. No rebuild. New access layer.
Production-ready Agent Experience Layer. Typically 90 days.
Operate
How are agents finding you? Which tools are they using? Where are new opportunities? We track, expand, and keep you ahead as the landscape evolves.
Monthly performance reports, ongoing optimisation, quarterly reassessment.
Questions we hear most.
Are agents actually buying things today?
Not at scale — yet. But OpenAI, Google, and Anthropic are all shipping agent capabilities. Payment protocols are being developed. The question isn't whether this will happen, but whether you're ready when it does.
We've invested heavily in our website and brand. Is that wasted?
No. Your brand still matters to human buyers. But agents evaluate differently — they need structured data and callable endpoints. Think of it as adding a new channel, not replacing the existing one.
How long does this take?
Agent Readiness Score: 48 hours. Strategy: a few weeks. Production-ready Agent Experience Layer: typically 90 days. You see results at each step.
What if the agent landscape changes?
It will. That's why we build on open protocols and structure your content to be platform-agnostic. The Operate phase exists for continuous monitoring as the landscape shifts.
Why MING Labs and not a funded startup?
This isn't a software problem — it's a transformation problem. Startups build tools. We go into your organization and build bespoke solutions on your existing infrastructure. 15 years, 50+ enterprises.
Agents don't just show up as customers. They show up as colleagues too. Hybrid Organisation
Start with what agents
see today.
Agent Readiness Score — by Hyperize, a MING Labs venture.
We test what AI says about you, where your tools are invisible, and where the door is already open.
Matthias or Sebastian respond personally. No sales team. No BDR.
Request
Free. ~2 min form.
Snapshot
Your score in 48 hours.
Full Report
Detailed analysis across all three doors.
We test what AI says about you. Then we open the doors agents can already walk through.
The agents are already here. Make sure they find the door.
