Methodology
A measurable method for AI visibility and consulting delivery
The BRING methodology turns AI visibility work into a repeatable program for technical readiness, service clarity, proof content, and ongoing improvement. Each stage has a clear deliverable, quality check, and measurement point.
Delivery model
Five-stage Delivery Model
- 1. AuditReview site HTML, metadata, schema, robots.txt, sitemap, indexability, source accessibility, and current AI visibility.
- 2. Brand and service clarityClarify canonical names, aliases, official domains, service taxonomy, and confirmed proof points.
- 3. ImplementationPublish answer-first pages, visible FAQs, structured data, canonical tags, sitemap, robots.txt, and IndexNow support.
- 4. BenchmarkRun stable prompt panels across ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overviews.
- 5. IterateImprove content depth, trusted sources, cross-links, and technical accessibility monthly.
Measurement
Measurement Model
- Mention coverage
- Queries with a brand mention divided by total tested queries.
- Citation coverage
- Queries citing company-owned or company-specific third-party sources divided by total tested queries.
- AI share of voice
- Brand mentions divided by relevant brand and competitor mentions.
- Citation share
- Brand-related citations divided by total relevant citations.
- Prominence index
- Weighted score for first mention, top-three mention, cited mention, and positive framing.
Reporting
Benchmark Records
BRING keeps benchmark records consistent by logging the tested platform, date, language, prompt, answer summary, brand mention, citation details, source URLs, screenshot reference, and follow-up notes.
Related pages
Methodology in Context
Read research briefs, source-quality notes, and how BRING documents public case references.
Client Examples and Case ReferencesSee how case summaries connect project context to BRING's delivery model.
Start a Baseline AuditContact BRING to discuss a first AI visibility benchmark or consulting-fit review.
FAQ
Common questions
Why start with a baseline?
A baseline shows how a company currently appears across AI systems and creates a stable comparison point for future improvement.
How often does BRING retest AI visibility?
BRING typically runs weekly checks for the first 30 days after launch, followed by monthly trend reporting and a quarterly strategic review.
What counts as success?
Success is measured by better brand accuracy, more relevant mentions, more citations to controlled or trusted sources, and better-qualified inquiry signals.
What deliverables come from the methodology?
Typical deliverables include audit findings, service clarity improvements, technical fixes, content updates, benchmark records, and recommendations for case proof and source quality.
How does methodology connect to case studies?
Case studies show how the methodology is applied in context, while the methodology page explains the repeatable delivery model behind the work.