How to Be Selected and Represented by AI

AI systems don't rank businesses—they select or exclude them based on fit. This guide is aligned with the Deeprank protocol: how to declare your identity, fit conditions, and exclusions so ChatGPT, Claude, and Perplexity can correctly recommend you (or exclude you) when people ask.

Deeprank AI and deeprank.org

Deeprank AI is the platform you use for audits, DSP, DeepSeeker, and content tools. deeprank.org is the methodology source of truth. The platform implements these principles in practical workflows.

Core practices for correct AI selection

1. Declare identity explicitly (DSP first)

Complete a Deeprank Selection Profile (DSP) so identity, audience, offerings, fit, and exclusions are explicit. AI systems perform better with declaration than inference.

• Identity: what the business is and where it operates
• Fit: who should choose you
• Exclusions: `wrong_choice_when` so AI knows when not to recommend you
• Proof: trust and evidence fields that support decisions

2. Publish machine-readable structure

Use clean page structure and structured data so AI systems can extract factual context reliably.

• Clear headings and section hierarchy
• Consistent entity naming and terminology
• JSON-LD where appropriate
• Accessible, parseable content blocks

3. Create content from DSP, not guesswork

Use Content Generator outputs derived from DSP fields for consistency across channels and pages.

• 20 Canonical Q/A pairs (fit, exclusion, process, differentiation, trust)
• 5-section About Us derived from approved DSP
• Meta content aligned with declared business terms

4. Measure visibility continuously

Use DeepSeeker to test how AI systems mention or recommend your business, then iterate based on evidence.

• Track mention frequency and position
• Compare against competitor mentions
• Identify weak query categories and improve source content

Implementation checklist

Measuring success

Track your AI search optimization performance with these key metrics:

• AI Mention Frequency: How often AI assistants cite your content
• Citation Quality: Context and accuracy of mentions
• Answer Position: Where you appear in AI responses
• Coverage: Range of fit-relevant queries where you are selected