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The guide to the agentic web.
Foundations for businesses that want to be understood by people, search engines and AI agents — and contacted on their own terms.
Generative Engine Optimization (GEO): What It Is and How It Works
Generative Engine Optimization (GEO) makes ChatGPT, Perplexity, Claude and Google AI Overviews understand and cite your business. A clear definition, the practical method, and where an agent-readable profile fits.
Read →AI Visibility: What It Is and How to Get Cited by AI Agents
AI visibility means ChatGPT, Perplexity, Claude and Google AI Overviews know your business, name it correctly and recommend it. What the term means and how to build it step by step.
Read →AI SEO vs GEO: What's the Difference (and Where llms.txt Fits)
AI SEO is the umbrella term; GEO and LLMO sit within it. How the concepts differ, why it's not an either/or, and where agent-readable profiles complete the picture.
Read →The Best AI Visibility & GEO Tools in 2026, Compared
Profound, Peec AI, Otterly, Scrunch, AthenaHQ and more: what the leading AI visibility and GEO trackers measure, what they cost — and the difference between measuring visibility and becoming contactable.
Read →The Best AI SEO Tools in 2026: A Comparison in Three Categories
Semrush, Surfer, Ahrefs, Frase and more: the leading AI SEO tools of 2026 — plus the third category almost no list names: agent-readiness for businesses AI agents can contact.
Read →Agentic Visibility for Businesses
What agentic visibility is and how businesses structure their services, sources and contact paths so ChatGPT, Claude, Perplexity and AI agents can understand and contact them.
Read →What is an agent-ready company profile?
An agent-ready profile explains a business to people and AI systems: with services, sources, agent.md, agent.json and controlled contact functions.
Read →How AI agents can contact companies through anewera
How agents find businesses, read profiles, detect allowed functions and run contact requests through anewera.
Read →What is webMCP?
webMCP describes a discoverable, controlled layer through which AI agents can understand a business's profiles and allowed functions.
Read →llms.txt, agent.md and agent.json explained simply
Which machine-readable files businesses can provide for AI systems, and how anewera uses them for profiles, sources and agent functions.
Read →How ChatGPT, Claude and Perplexity understand businesses better
Why clear profile text, cited sources, structured data and machine-readable files help make businesses more understandable for AI systems.
Read →Why structured sources matter for AI visibility
How public sources, screenshots, service pages, contact pages and technical files help make company profiles more trustworthy for Google and AI systems.
Read →AI-agent-ready checklist for businesses
A practical checklist to check whether your website, content, sources and contact paths are clear enough for AI agents.
Read →PrimAI as an agent-ready profile: premiums, sources and API functions
How a Swiss premium calculator becomes visible as an agent-ready company profile and how agents can detect structured functions for premiums and advice.
Read →ThatDay as an agent-ready profile: making advisory contactable
How ThatDay becomes agentically understandable and contactable for health insurance, hospital cover, pensions and family protection.
Read →Agent functions: rate, quote, meeting, callback and question
Which agent functions businesses can activate in anewera and how email-based functions later extend to bookings, calculators and APIs.
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