AI Visibility
AI Mention Graph
An AI Mention Graph is a versioned evidence graph connecting captured AI outputs, mention occurrences, resolved entities, citation elements and displayed source records.
What it means
Nodes and edges must identify their observation or review basis: a capture contains a mention, a citation element points to a source, and a reviewer resolves an occurrence to an entity. W3C PROV supports entities, activities, responsibility, derivation and versioning. The graph represents AYSA's evidence only, not a provider's hidden model, training corpus or retrieval network.
Why it matters
Typed evidence edges prevent visual proximity and shared outputs from becoming unsupported causal relationships or universal influence scores.
Example
One capture node contains two mention nodes and three citation edges resolving to two source pages; the graph retains the query, system, capture time and reviewer resolution rather than drawing source-to-mention causation.
Common mistakes
Do not claim graph completeness, invent private retrieval edges, merge captures, omit edge provenance, assign authority from degree alone, collapse source pages to domains, hide model changes or promise visibility.
How AYSA handles this
Signals reviewed
graph version, capture IDs, systems, test definitions, mention nodes, citation edges, source records, resolution activities, uncertainty
Problem AYSA can identify
AYSA can identify untyped edges, missing provenance, cross-capture merges and analytical links mislabeled as provider-internal facts.
Recommendation prepared
The graph keeps observed, resolved and inferred edge types separate and retains every activity and version.
Approval preview
The reviewer sees node evidence, AI-assisted extraction and resolution provenance, uncertainty, proposed edges and graph boundaries.
Execution
AYSA can publish an approved evidence graph and monitoring deltas; it cannot access or reconstruct a provider's private graph.
Verification
New captures create a new graph version with explicit additions, removals and methodology changes.
Limits
Coverage is sample-bound and mutable, and provenance or human review does not automatically certify AI Act or legal compliance.
Sources and further reading
- W3C — PROV Overview — W3C provenance standard
- W3C — Web Annotation Data Model — W3C Recommendation
- Google Search Central — AI features and your website — Official search documentation
- OpenAI — Introducing deep research — Official product documentation
- European Commission — AI Act Article 50 transparency guidelines — Official European Commission guidance
Written by Marius Dosinescu. Reviewed by AYSA SEO Editorial Team · 2026-07-28 00:00:00.
Quick answers
Frequently asked questions
Does an AI Mention Graph show a provider's retrieval graph?
No. It records observed interface evidence and reviewed analytical relationships.
Does a source and mention in one output prove causation?
No. Co-occurrence in a capture is not evidence that the source generated the mention.
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