A human’s guide to the agent internet.
Understand how AI agents find and choose products. Then put it to work: practical business guides, technical recipes, and examples you can use to build and measure a better path to your business.
Customer distribution is being rewired by agents.
What happens when agents find, decide and recommend the products we use?
Choose what you want to solve.
Understand the shift
The business picture. No engineering background needed.
Get your business ready
For brands, shops, and service businesses.
Build the integration
For software teams turning discovery into a first result.
Know what’s working
Useful evidence, honest attribution, and a plan to improve.
Foundations
5 guidesWhat is an AI agent?
A practical explanation of agents, assistants, tools, and the decisions between a request and a result.
How AI agents find products
Search, cited sources, directories, documentation, and connected tools form different routes into a business.
SEO, GEO, and agent discovery: what actually changes?
Separate search eligibility, inclusion in AI answers, and completed actions so you can invest in the right work.
The agent discovery glossary
Plain-English definitions of crawling, retrieval, citations, MCP, OpenAPI, GEO, and useful completion.
MCP, WebMCP, A2A, ACP, UCP, and ARD: what to build
A plain-English map of agent protocols, the job each one does, and the adoption question to ask before investing.
The shift
1 guidesGet found
3 guidesCan an agent actually read your website?
A crawl-access checklist covering HTTP responses, robots rules, rendering, canonical URLs, and sitemaps.
What llms.txt and Markdown can—and cannot—do
Use lightweight text as a helpful documentation interface, without treating it as an AI ranking switch.
How the major AI discovery channels differ
Search crawlers, user-requested visits, connected tools, and merchant feeds are different routes into an assistant.
Get understood
3 guidesStructured data that helps explain your business
How to use Schema.org, JSON-LD, stable identifiers, and visible facts without inventing a special AI ranking formula.
Give agents something worth citing
Build product claims that can be checked, quoted in context, and connected to the correct business.
Write pages agents can actually use
Turn customer questions into clear source pages, comparison criteria, and verifiable product explanations.
Get used
4 guidesMCP, registries, and getting your tools discovered
Understand the difference between publishing a server, connecting it to a host, and getting a tool used.
API documentation an agent can actually use
Document the full task: authentication, inputs, asynchronous results, errors, limits, and a verifiable outcome.
From discovery to a purchase, booking, or API call
Find the missing step between being recommended and being usable.
From an AI recommendation to a confirmed purchase or booking
Design the handoff around current offers, permission, safe retries, and a confirmation the customer can trust.
Playbooks
7 guidesAgent discovery for brands and ecommerce
Prepare product identity, variants, offers, policies, and a dependable route to checkout.
Agent discovery for services, freelancers, and local businesses
Make scope, location, availability, proof, and the next step clear enough to support a real recommendation.
Your first 30 days of agent discovery work
A focused implementation plan for one offering, a few real tasks, and an observable route to use.
Where to start with agent distribution
A business-first plan for finding the broken step, choosing a channel, and deciding what deserves your time.
Product feeds for AI shopping
How to prepare item identities, prices, availability, and product pages for a real merchant-data integration.
An agent distribution playbook for software companies
Connect useful documentation, example projects, tool integrations, and a measurable first successful result.
Worked example: from an invoice question to a usable API
A fictional walkthrough that connects search, product facts, evidence, and the exact handoff that must work.
Measurement
3 guidesMeasure agent discovery without fooling yourself
Separate crawler requests, assistant referrals, controlled tests, activations, and revenue.
How to test whether agent distribution is working
A practical evaluation design that separates discovery, understanding, completion, and real customer acquisition.
Keep your agent distribution working after launch
A practical operating model for ownership, freshness, regression checks, and deciding which channels deserve investment.
What’s current
1 guidesReading with an agent?
The same knowledge. Direct HTTP, Markdown, and JSON.