Answer passages
Short, direct blocks that answer what the offer is, who it is for, what it costs, and what happens next.
Knowledge GEO / AI answer readiness
This is the research-first version of our GEO system: every file, page, schema, proof lane, and buyer route is written so humans can inspect it and AI systems can parse it.
No missing pieces
Each layer has a human page, a machine-readable source, and a validation check. The point is not decoration; the point is repeatable evidence.
Short, direct blocks that answer what the offer is, who it is for, what it costs, and what happens next.
/llms.txt gives the short brief. /llms-full.txt gives the full buyer and crawler context.
Service, Offer, FAQ, Organization, Product, and WebPage data must repeat the same facts as the visible page.
JSON files expose siteName, primaryOffer, audience, buyerPaths, public pages, private page boundaries, safetyBoundary, and evidence.
Robots and sitemap must align: public buyer pages are indexable, private owner/admin/payment evidence stays blocked.
Claims need proof lanes: screenshots, packet reports, public docs, product feed, and stable machine files.
Every CTA carries product, source, amount, currency, and a manual-safe payment handoff path.
GEO must say what it cannot do: no ranking guarantee, no provider fund verification, no automatic money movement.
System console
Discovery lens
The public page, sitemap, robots, canonical, and llms entry all point to the same answerable offer.
Search engines and screen readers get the same knowledge as the Three.js scene: no hidden-only claims.
The file list below is explicit so AI agents can fetch the right source without guessing.
Implementation checklist
Use the checklist to see the actual work surface. The progress meter is local UI only; the evidence packet proves the real state.
Machine-readable source of truth
Sellable paths
Research deliverable
A concise map of your current GEO gaps, required files, public/private split, schema plan, and buyer-routing fixes.
FAQ
It overlaps with technical SEO, but the focus is answer-engine comprehension: explicit facts, structured proof, machine-readable files, and safe buyer routing.
An indexable offer page, matching schema, llms.txt, sitemap entry, robots policy, product feed or service index, FAQ, and a visible safety boundary.
Yes. GEO can make a site easier to understand and cite, but external AI systems decide what they crawl, index, rank, cite, and recommend.
Yes. The page can carry product ID, amount, currency, and source into a manual-safe checkout context. It does not capture, refund, withdraw, transfer, pay out, or verify funds automatically.