Cycling through all six. Tap any point to stop.

Measured on six things

anewera gives businesses an agent-ready profile — llms.txt, agent.json and MCP endpoints — so AI agents like ChatGPT, Claude and Perplexity can find,

Growth

No reviews, no community, no GitHub, no PH traction. Self-posts on Reddit and daily onboarding cap confirm pre-product-market fit stage.

Screenshots

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anewera

About this app

anewera is infrastructure that makes businesses visible to AI agents. Each company gets an agent-ready profile with structured, machine-readable context — llms.txt, agent.json, agent.md, and a live MCP / webMCP endpoint — so AI systems like ChatGPT, Claude and Perplexity can find a business, understand what it does, and contact it through permissioned actions such as requesting a rate, a quote, a meeting or a callback. Private recipient details stay hidden; every contact runs through published, approved actions. anewera is a deliberately curated, agent-readable business directory, with a German-language Swiss layer at anewera.ch.

Key features

1Agent-ready profiles with llms.txt, agent.json, agent.md and live MCP/webMCP endpoints.
2Permissioned actions (rate requests, quotes, meetings) that keep private details hidden.
3Curated onboarding with source verification and human review before activation.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Small to medium business owners

Pain points

Struggling to be found by AI assistants; loss of visibility as AI agents replace search engines.

Primary needs

Agent-optimized profiles, machine-readable business info, and direct AI contact capabilities.

Demographic

Tech startups in growth phase

Pain points

Manual outreach is inefficient; want to automate lead generation via AI agents.

Primary needs

Action-oriented profiles that enable AI agents to book meetings, calculate prices, and qualify leads.

Demographic

Service professionals (freelancers, consultants)

Pain points

Rely on word-of-mouth and Google; missing out on AI-driven discovery.

Primary needs

Simple profile setup, source verification, and integration with personal scheduling tools.

Scout Review

Written by AI from measured evidence, scored out of 100.

anewera.ai is an ambitious early attempt to create an agent-first business directory using structured files and controlled actions. It solves a real future problem—AI agents needing machine-readable context—but current execution is deliberately slow and opaque. Strengths lie in the novel chat demo and privacy-first rules; weaknesses are the lack of self-serve, documentation, and any external validation.

Measure by measure

Usability

Chat-driven draft creation is novel, but mandatory manual review, daily caps, and zero docs make it a high-friction experience for SMBs.

Design

Minimalist, functional landing page with chat demo and clear sections. Draft imprint and basic typography keep it unpolished but coherent.

Speed

Lightweight site with responsive chat demo. No complaints or benchmarks, but tech hints suggest decent performance for an early product.

Security

Permissioned actions and manual verification are positives. Zero public audits, policies, or transparency docs; early-stage uncertainty dominates.

Accessibility

No a11y claims, statements, or testing evidence. Basic responsive design exists but lacks verified support for diverse users.

Growth

No reviews, no community, no GitHub, no PH traction. Self-posts on Reddit and daily onboarding cap confirm pre-product-market fit stage.

Improvement areas

No public pricing, self-serve flow, or documentation.
Zero third-party reviews, community, or compliance certifications.
Limited daily capacity and manual setup create high friction.

Design & Usability

anewera.ai presents a sleek, minimal homepage centered on an interactive chat that demonstrates agent-readable profiles. The flow from URL check to draft is intuitive in concept, yet the deliberate 30-profile daily limit and mandatory setup call create friction that feels at odds with the 'make businesses visible to AI' promise. Design is consistent and modern enough for an early tool, but the working-draft imprint and lack of supporting docs leave usability feeling half-baked for time-pressed SMBs.

Speed & Security

The site itself is snappy with a responsive chat demo that quickly surfaces machine-readable files and allowed actions. Security posture relies on manual verification and permissioned endpoints rather than published standards—no SOC 2, no privacy depth, no audits. For a product handling business contact rules this is table-stakes missing, though the 'nothing published without review' approach does provide a basic human gate that automated directories lack.

Accessibility & Growth

Accessibility is entirely unaddressed in public materials; no WCAG references or testing claims appear. Growth signals are minimal: self-promotional Reddit threads, zero third-party reviews, no GitHub activity, and a hard onboarding cap all point to a product still in private-beta territory. The Swiss layer at anewera.ch adds a nice niche touch, but overall traction remains invisible to the broader market.

Conclusion

If you're a Swiss SMB or early adopter comfortable with manual onboarding, it could be worth joining the waitlist. For most others, established directories still win on reach while this space matures.

Suggestions for improvement

Publish pricing tiers and self-serve options to reduce onboarding friction.
Add public documentation, security page, and a11y statement.
Release a changelog and open a community channel for feedback.
Pursue at least basic compliance documentation (GDPR mentions) before scaling.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	anewera	Google Business Profile	Yelp
Machine-readable AI agent profiles (agent.json, llms.txt, MCP endpoints)	Native support with structured files and live endpoints	None; standard human-focused listings only	None; user reviews, no agent actions or structured data
Permissioned AI contact actions (quotes, meetings, callbacks)	Yes; rules-based, private details never exposed	No; only standard contact forms or phone	No; messaging via platform, no agent rules
Onboarding & verification process	Manual review + setup call; 30/day cap	Self-serve instant verification	Self-serve with optional claim process