Aurantor

Case Studies & Results

What an audit actually produces

Aurantor is a newly launched practice — rather than inflate early results, here's an honest walkthrough of what a completed engagement looks like, plus the kind of impact the methodology is built to drive.

9 phasesRun start to finish, hands-on
1 personYou work directly with, no hand-offs
4 stagesDiscovery → Strategy → Build → Monitor

Process Walkthrough

A sample deliverable, phase by phase

Every audit produces a concrete artifact at each stage — not just a slide deck.

Sample deliverable

AI Visibility Scorecard

Phase 1-3 of the audit produce a scorecard showing whether AI crawlers can access your site, where your schema and content have gaps, and which competitors are currently cited instead of you for your category’s key queries.

Sample deliverable

Before / After Citation Comparison

After implementation, we re-run the same AI queries used in the audit and document whether your brand is now part of the answer — the same before/after format shown on the homepage.

Sample Deliverable

AI Visibility Scorecard

Illustrative example — the audit scores your brand across the categories that determine whether AI engines cite you, before and after implementation.

Illustrative

Illustrative Examples

The kind of results the methodology is built to drive

These are illustrative, not verified client results — they show the scale of outcome each service pillar is designed to produce.

Illustrative

B2B SaaS

TechFlow

3.2x increase in AI citation rate

Restructured product documentation and schema so AI assistants could accurately answer technical buyer questions about TechFlow's platform.

Illustrative

E-commerce

Nova Retail

AI shopping assistant recommendations up 48%

Optimized product data and review aggregation to make Nova Retail's catalog readable and recommendable by AI shopping assistants.

Illustrative

B2B SaaS

CloudSync

Cited in 5 of the top 10 category AI answers

Built entity and knowledge graph structure that positioned CloudSync as a cited source across category-defining AI queries.

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