anewera

anewera is infrastructure that makes businesses visible, understandable, and contactable for AI agents. As AI systems like ChatGPT, Claude, Gemini, Perplexity, and Copilot become primary interfaces for finding and evaluating services, businesses that lack machine-readable profiles become invisible to these tools. anewera solves this by creating structured, agent-ready profiles for every company in its directory. Each profile includes llms.txt, agent.json, agent.md, and a live MCP/webMCP endpoint. These files translate human-readable website content into structured data that AI agents can parse instantly. The platform is a deliberately curated business directory with a German-language Swiss layer at anewera.ch. It targets businesses in Switzerland that want to be found, understood, and contacted by AI agents without exposing private recipient details. Instead, every contact request flows through published, approved actions such as requesting a rate, a quote, a meeting, or a callback. anewera verifies every profile through two paths: paid entries verify themselves through active payment, and free entries are verified through personal calls. The platform imposes a 30-per-day cap on free invitations to maintain quality, but paid entries have no limit. The core value proposition is simple: if your business is not machine-readable, AI agents cannot find you. anewera ensures your business is readable, findable, and contactable in the agentic era.

Agent-Ready Profile Generation

anewera automatically generates a complete set of machine-readable files for every business profile. This includes llms.txt for LLM context, agent.json for structured agent interaction, agent.md for markdown-based descriptions, and a live MCP/webMCP endpoint for real-time communication. These files translate your website content into structured data that AI systems can parse instantly. The generation process takes approximately 60 seconds after you provide your website URL. The result is a profile that ChatGPT, Claude, Gemini, Perplexity, and Copilot can read, understand, and use to recommend your services to users. Without these files, your business remains opaque to AI agents even if your website is well-designed for humans.

Permissioned Contact Actions

Private recipient details stay completely hidden throughout the contact process. Instead of exposing email addresses or phone numbers, anewera defines approved contact actions that AI agents can trigger. These actions include requesting a rate, requesting a quote, scheduling a meeting, or requesting a callback. When an AI agent initiates a contact request, anewera receives it, structures the information, and delivers it to your inbox via email. This approach ensures you control how you are contacted while maintaining privacy. The system also prevents spam because every contact request must go through an approved action defined in your profile. AI agents cannot guess or scrape private contact information from your profile.

Live MCP Endpoint and Open Agent API

Every profile in the anewera directory includes a live MCP endpoint that is operational and accessible right now. This endpoint exposes tools such as search_companies, read_company_profile, and prepare_contact_request. Any MCP client can connect to this endpoint and interact with the directory programmatically. The open Agent API further extends this capability by providing RESTful access to profile data and contact functions. These endpoints are not theoretical or planned; they are live and can be tested immediately with a simple curl command. This real-time accessibility means AI agents can discover, evaluate, and contact your business without any additional integration work from your side.

Curated Directory with Dual Verification

anewera deliberately curates its directory to prevent spam and maintain trustworthiness for AI agents. Every profile is verified through one of two paths. Paid entries verify themselves through active payment because spam profiles do not pay. Free entries are verified through a personal call with the anewera team. The platform limits free invitations to 30 per day, which is the number of calls the team can genuinely hold. This cap never applies to paid entries, which can join immediately. The result is a directory that AI agents can rely on for accurate, non-spam business information. This curation is not a marketing trick; it is a fundamental requirement for a directory that AI agents use as a trusted source.

Local Service Discovery by AI Assistants

A user asks ChatGPT, "Best fiduciary for a startup in Zurich?" The AI assistant searches its available tools and finds anewera profiles for fiduciary services in Zurich. It reads the structured profile data including services offered, languages spoken, and client focus. The assistant then presents the most relevant businesses to the user, citing the machine-readable profile information. The user can then request a quote or schedule a meeting directly through the AI assistant, which triggers a permissioned contact action through anewera. This use case eliminates the need for users to manually search directories or visit individual websites.

Expats Seeking Specialized Services

An expat moving to Basel asks Claude, "Relocation service for a family moving to Basel?" The AI assistant accesses anewera profiles for relocation services in Basel that explicitly cater to expat families. The structured profile data includes language capabilities, service packages, and regional coverage. The assistant can compare multiple providers based on the machine-readable data and recommend the best match. The expat can then request a callback or a meeting through the AI interface. This use case is particularly valuable for newcomers who do not know local service providers and rely on AI for recommendations.

Automated Business Inquiries via MCP Clients

A developer using Claude Code needs to find an independent insurance advisor who speaks English for a client in Zurich. Claude Code connects to the anewera MCP endpoint, searches for companies matching the criteria, and reads the structured profile data. The developer can then trigger a contact action to request a rate or a quote directly from the code environment. The request flows through anewera, which delivers it to the advisor's inbox. This use case demonstrates how AI coding tools can automate business discovery and inquiry workflows without manual web searching or form filling.

Real Estate Agent Discovery for Off-Market Properties

A user asks Perplexity, "Off-market real estate in Zug who has access?" The AI assistant searches anewera profiles for real estate agents specializing in off-market properties in Zug. The structured profile data includes geographic focus, property types handled, and contact permissions. The assistant presents the relevant agents and allows the user to request a meeting or callback. This use case is critical for high-value transactions where users need trusted recommendations from AI systems. The verified nature of anewera profiles ensures that the recommended agents are legitimate and active.

How does anewera make my business visible to AI agents?

anewera generates a set of machine-readable files for your business including llms.txt, agent.json, agent.md, and a live MCP endpoint. These files translate your human-readable website content into structured data that AI systems like ChatGPT, Claude, Gemini, Perplexity, and Copilot can parse instantly. When a user asks an AI assistant for a recommendation in your industry or region, the AI searches its available tools and finds your structured profile. Without these files, your business is invisible to AI agents even if your website is well-designed for humans. The generation process takes about 60 seconds after you provide your website URL.

How does contact work if my private details are hidden?

Private recipient details such as email addresses and phone numbers are never exposed in your profile. Instead, you define approved contact actions that AI agents can trigger. These actions include requesting a rate, requesting a quote, scheduling a meeting, or requesting a callback. When an AI agent initiates a contact request, anewera receives the structured request, formats it, and delivers it to your inbox via email. This approach ensures you maintain privacy while remaining contactable. It also prevents spam because every contact request must go through an approved action defined in your profile.

What is the difference between paid and free entries?

Paid entries cost CHF/USD 29 per month and go live immediately after payment. The active payment serves as verification because spam profiles do not pay. Free entries are available by invitation only, with a limit of 30 invitations per day. Free entries require a short verification call with the anewera team. Both paths result in the same agent-ready profile with full functionality. The 30-per-day cap applies only to free profiles and never to paid entries. Paid entries have no waiting period and no cap on the number of companies that can join.

Which AI systems can read my anewera profile?

Your profile is readable by all major AI systems including ChatGPT, Claude, Gemini, Perplexity, and Copilot. It is also contactable by MCP clients such as Claude Code, Codex, OpenClaw, and ChatGPT Agents. Any MCP client can connect to your live MCP endpoint and interact with your profile programmatically. The machine-readable files follow open standards, so your profile is compatible with any AI system that supports llms.txt, agent.json, or MCP protocols. This broad compatibility ensures your business is visible across the entire AI ecosystem, not just one platform.