Methodology

Overview.

The R2 Framework and R2G Standard combine two data pipelines — primary survey research and AI-discoverable digital signals — into a single calibrated composite. Neither source alone is sufficient. Their combination is what makes the R2G Standard defensible.

Primary survey research.

The R2 Framework's survey component captures how the company is perceived, trusted, and prioritized across five primary stakeholder audiences:

• —Policy and regulators
• —Financial community (investors, analysts, financial press)
• —Talent market (current employees, prospective employees, alumni)
• —Journalists and media
• —Customers and users

Survey instruments are calibrated to the two foundations and seven levers of the R2 Framework and administered across statistically significant sample sizes per audience per market. Data is refreshed quarterly.

AI-discoverable digital signals.

• —ChatGPT (approximately 80–85% weight in the composite)
• —Google AI Overviews and Gemini (approximately 10–15% weight)
• —Perplexity, Claude, Grok, and other emerging environments (remainder, distributed)

Calibration between survey and digital.

Model weighting.

The R2 Framework publishes its model weighting quarterly, versioned and archived. The current weighting (Q3 2026) is:

ChatGPT

82%

Google AI Overviews and Gemini

12%

Perplexity

3%

Claude, Grok, and others

3%

Weighting is recalibrated based on measured audience use across primary stakeholder categories. All historical weightings are archived and available on request.

The stakeholder lens.

The R2G Standard produces a single composite number. That number, alone, is not the deliverable. R2 interprets the number through five stakeholder lenses — each of which reads the same underlying data through a different set of concerns.

• —Policy and regulators read the score for institutional legitimacy, transparency, and regulatory alignment.
• —Financial community reads it for durability of growth, valuation defensibility, and disclosure quality.
• —Talent market reads it for employer brand strength, leadership credibility, and mission clarity.
• —Journalists and media read it for narrative coherence, controversy exposure, and story availability.
• —Customers and users read it for product credibility, category authority, and reputational risk.

Each lens produces a red/yellow/green diagnostic across the two foundations and seven levers, plus a named-move recommendation set.

Diagnose · Direct · Do^™

R2 engagements are structured in three tiers:

1. 01Diagnose — the R2G Standard score, two-foundation, seven-lever breakdown, AI-visibility summary, and stakeholder lens maps.
2. 02Direct — content gap analysis, page-priority guidance, messaging framework by stakeholder, and paid/earned/owned allocation.
3. 03Do — schema and JSON-LD structured data generation, syndication recommendations, and content briefs.

R2 does not offer automated content generation or click-the-button reputation remediation. Reputation is earned through decisions and actions, not through automated content overrides. R2's remediation stops where the company's decision-making begins.

Versioning and transparency.