Make your customer evidence easier for AI systems and buyers to find and understand
AI discoverability describes whether AI-powered search and research systems can find, interpret, and use public information about a business.
RivetSignal focuses on evidence architecture: stable public pages, visible sources, structured context, and connected outputs. It does not claim that any specific system retrieves or cites RivetSignal content.
What AI discoverability is
When buyers and AI-assisted research tools look for support behind a claim, they need public evidence they can locate and interpret. Discoverability here means clarity of public evidence—not a score, ranking promise, or monitoring dashboard.
The scattered-evidence problem
Strong evidence may already exist, but when it lives in separate places it may not be understood as one evidence set:
- Evidence may live on separate URLs and platforms
- Claims and sources may not be connected
- Case studies may not clearly identify the service or outcome
- Videos and project pages may lack structured context
- Testimonials may be isolated from supporting evidence
- Machine-readable systems may not interpret distributed artifacts as one coherent body of support
What improves clarity
Clarity improves when evidence is published as durable public assets with relationships humans and machines can follow. Structured data helps when it matches visible content—it does not solve discoverability by itself.
Findable
- Stable public pages
- Canonical URLs
- Crawlable links
- Sitemap inclusion
Understandable
- Clear business identity
- Semantic visible content
- Service and outcome context
- Machine-readable outputs
Trust-bounded
- Visible source relationships
- Proof signals
- Publication state
- Limitations
What RivetSignal does
- Connects existing evidence into structured Proof Cards
- Publishes canonical public Proof Card URLs
- Creates a public business proof profile
- Exposes a machine-readable proof feed
- Records source and confirmation signals when those events exist
- Provides customer-site connection outputs
- Supports distribution of published proof assets
Where RivetSignal fits in AEO and GEO
Answer engine optimization and generative engine optimization cover broader efforts to make websites and content easier for AI-powered systems to retrieve and interpret. RivetSignal focuses on one specific layer: publishing structured, source-backed customer evidence.
Publishing clarity—not ranking promises
RivetSignal publishes and connects
- Canonical Proof Cards
- Public proof profiles
- Proof feeds
- Source and confirmation signals
- Customer-site connections
RivetSignal does not promise
- Indexing or rankings
- Citations or recommendations
- Leads or sales
RivetSignal helps publish structured, source-backed evidence but does not guarantee indexing, rankings, citations, recommendations, leads, or sales.
Evidence in practice
See how connected public evidence looks today:
Live Proof Card
Canonical Proof Card publishing format
ConduitLab is a founder-operated related-party implementation, not independent third-party customer validation.
How the product works · Proof & Evidence hub · Live examples · Proof infrastructure category
Start with evidence systems can find and interpret
Explore RivetSignal’s public evidence hub, then create a Proof Card from evidence you already have.