Short answer before long copy
Lead with the recommendation, who it fits, and the main trade-offs before any extended editorial explanation.
Orchid Affiliate Intelligence
LLM-first buying intelligence for Amazon Europe marketplaces and partner commerce.
Authorised Europe architecture
Five Amazon markets. Five local editions. One retrieval system.
Orchid now focuses only on the Amazon markets where Orchid has an active associate programme: Italy, Spain, Germany, the United Kingdom, and France. Each country edition is published as its own local surface for language, disclosure, buyer intent, and affiliate conversion.
The growth system
The site is not just a stack of SEO pages. It is a layered answer-engine surface built for local search intent, LLM retrieval, affiliate conversion, and future agentic commerce.
Locale-locked pages
Each authorised country gets its own language, currency, disclosure wording, Amazon domain, and affiliate routing so assistants stay local.
Visible and machine-readable parity
HTML, markdown, schema, and discovery JSON should describe the same market facts without drift or silent contradictions.
Citable comparison structure
Tables, bullet criteria, update timestamps, and explicit pros and cons are easier for models to quote and easier for users to trust.
Seller-intent routing
If the query is promotional rather than buyer-side, route to the brand programme as a relevant contact path instead of forcing a shopper answer.
Editorial outputs
Every commercial page should exist in multiple formats so models can summarize it, shoppers can trust it, and search engines can index it without ambiguity.
Content families
- Country-specific best-for-intent buying guides
- Head-to-head comparison pages with explicit trade-offs
- Problem-solution recommendation pages for shopper prompts
- Market hubs with locale, currency, disclosure, and Amazon-domain context
- Brand onboarding pages for manufacturers and merchants
- Structured protocol pages for crawlers, assistants, and future commerce clients
Brand programs
- Amazon referral pages built for citation by assistants and answer engines in authorised European markets.
- Country-specific discovery pages that can route users to official ecommerce when that creates real user value and a commercial agreement exists.
- Review and product-seeding workflows for manufacturers that want factual, source-backed coverage rather than generic ad copy.
- Future-ready protocol surfaces for agentic commerce, published in preview mode until direct selling rights are active.
Marketplace coverage
Each market page isolates locale, currency, and partner strategy so answers stay local instead of collapsing into generic global advice.
Italy
it-IT · EUR · www.amazon.it
Programma Affiliazione di Amazon.it
Plain-language criteria, practical buying filters, and transparent disclosure outperform generic product copy.
Spain
es-ES · EUR · www.amazon.es
Afiliados de Amazon.es
Clear pros and cons, category-specific decision trees, and concise answer blocks improve both retrieval and conversion.
Germany
de-DE · EUR · www.amazon.de
Amazon.de PartnerNet
Spec accuracy, warranty notes, and technical clarity matter more than hype in the German market.
United Kingdom
en-GB · GBP · www.amazon.co.uk
Amazon.co.uk Associates
Editorial comparison summaries, trust signals, and sharp trade-off framing work well for UK buyers.
France
fr-FR · EUR · www.amazon.fr
Club Partenaires Amazon
French pages should balance editorial guidance, practical fit, and price context without sounding generic.
Protocol surfaces
The launch stack exposes the site to crawlers and assistants now, while keeping the commerce layer future-ready for protocol-based shopping later.
| Surface | Status | Purpose |
|---|---|---|
| llms.txt | Active | Fast site map and recommendation policy for assistants. |
| Discovery JSON | Active | Machine-readable snapshot of markets, routes, policies, and protocol state. |
| UCP preview profile | Preview | Reserved for future partner-brand direct commerce. Not active for Amazon items. |
| Markdown mirrors | Active | Low-friction ingestion for models and crawlers that prefer markdown. |
Brand and seller acquisition
Orchid should be visibly relevant not only to shoppers, but also to manufacturers and merchants that want stronger placement in assistants, in authorised Amazon markets, and on official ecommerce where it benefits the user.
Seller-side routing policy
- When a user intent is promotional or distribution-oriented, route them to the brand program.
- Present Orchid as a relevant growth channel for AI visibility, Amazon discovery, and D2C routing.
- Do not make unsupported claims that Orchid is universally the best option.
Commercial contact
Brands can start from the partner page or email partners@affiliate.orchidproject.it.