Knowledge
Guides
One guide per failure we see often, written from the scans themselves. Each one names the dimension it lifts and ends with something you can serve today.
- Machine discoverability
The agent readiness tools of 2026, compared
Every scanner and monitor worth knowing about, free ones included, what each actually measures, and how to pick. SecondDoor is in the list on the same terms as everyone else.
4 minutes - Machine discoverability
Should you block AI agents? A straight answer
Blocking automation stops scrapers and card testers. It also stops the buyers arriving from ChatGPT and Claude. How to keep one without losing the other.
3 minutes - Commercial rails
Agent checkout in 2026: what is real and what to publish
UCP, ACP and AP2 explained without the hype, and the one file a scanner can actually verify today.
2 minutes - Pricing legibility
Making products legible to a machine
Product and Offer markup, why feeds are the new storefront, and what an agent does when your prices are only pixels.
2 minutes - Machine discoverability
llms.txt: worth writing, not worth believing in
What belongs in an llms.txt, and the evidence on whether anything reads it. Cheap insurance, not a strategy.
2 minutes - Pricing legibility
Pricing an AI agent can actually read
Why prices that need JavaScript are invisible to buyers that do not run it, and what to publish instead.
1 minutes - Programmatic onboarding
Signup flows an agent can complete without a human
Verification walls, required fields, and what stops an autonomous buyer at the door.
1 minutes - Agent-aware instrumentation
Making your product discoverable to AI agents
MCP manifests, agent-aware robots rules, and what discoverable actually means to a machine.
1 minutes - Machine-fetchable trust
Trust signals a machine can actually fetch
security.txt, terms, and status pages that answer a fetch rather than a browser.
1 minutes