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Arrow / Evidence layer

Turn claims into inspectable proof.

An AI answer can mention a brand, but a durable commercial decision needs an answer that a buyer can verify.

Illustration of layered sources used to substantiate a public claim.
Proof and citations is a system component, not a standalone ranking promise.

/ THE PROBLEM

A generic promise, an old case study or a list of tactics cannot substantiate a current claim about capability, price, scope or outcome.

Arrow’s role is to turn this into a governed public-information problem: identify the source of truth, improve what a buyer can verify and avoid unsupported claims.

/ HOW THE MODULE WORKS

A bounded implementation sequence.

  1. 01

    Separate claim from proof

    Name the specific commercial claim, then identify what a reader can inspect to validate it.

  2. 02

    Publish useful source pages

    Create durable method, product, pricing and implementation pages; do not manufacture third-party endorsements.

  3. 03

    Connect and maintain evidence

    Use contextual internal links, update stale proof and record which source supports which claim.

/ OUTPUT

A visible evidence layer: source pages, methodology, clear limitations and internal links that let a reader check a claim at the right level.

This module is designed to make the next business decision easier to evaluate. It is not a promise of being cited or recommended by a specific AI product.

Useful next sources: Explore Arrow’s evidence model · Read the citation measurement method · Review your evidence gaps.