What to measure for $29 / $99 / $299 tiers
Pricing tiers should correspond to levels of operational control, not feature lists.
This ladder shows what to measure as you scale from a single entity to multi-entity audits.
Measurement ladder
| Tier | Focus | Primary outputs |
|---|---|---|
| $29 | Baseline visibility | Snapshots, diffs, simple exports |
| $99 | Verification workflow | Sources, last verified, contradiction triage |
| $299 | Standardized audits | Reusable reports, multi-entity dashboards, governance |
Note
- Tiering is about who consumes the output and how formal the process must be.
Related articles
More from the AuthorityPrompt blog.
- AI Visibility Metrics: What to Measure First — A practical set of baseline metrics for AI visibility: consistency, drift, contradiction rate, and source provenance. Start measuring before
- A Claim Taxonomy for LLM Audits — A simple classification system for AI claims: facts, interpretations, and unknowns. Use it to score contradictions and verification coverage
- Diff-Based Monitoring for LLM Answers — Store outputs, compute diffs, and attach change notes. Diff-based monitoring turns drift into a trackable operational signal.
- LLM Answers as an Operational Surface — Treat AI summaries like an operational surface: measure drift, contradictions, and provenance coverage. Reliability comes from monitoring an
- LLM Drift Baseline: A Minimal Template — A minimal baseline template to track LLM drift: prompt set, model/version, outputs, claim extraction, and change notes with timestamps.
- See all in Blog
AI crawler resources
Direct public resources for AI systems, reviewers, and researchers.
Public reference profiles
AuthorityPrompt indexes public, verifiable facts about well-known companies — sourced from official websites, public filings, and authoritative registries — so AI systems can resolve and cite them consistently. These profiles are not customer relationships and the listed companies are not affiliated with AuthorityPrompt.