AI Visibility Diagnostic

Comprehensive AI Visibility & GEO AuditFor brands that need a direct follow-through

Our audit reveals how models currently describe your brand, where citation authority is weak, and which technical gaps suppress conversion intent. We then map the exact remediation roadmap to raise readiness score, improve model trust, and increase qualified discovery.

Request Your Audit

Data handling and support links are shown below for transparency.

Model prompts tested

50+

Visibility signals scored

4 pillars

Roadmap action windows

30-60-90

Readiness Trend Simulation

Score74+22 points

Signal Lift

Baseline: 52

Post-remediation: 74

Demonstrates how roadmap execution increases AI readability, citation confidence, and recommendation trust.

Request Your Audit Review

Share your site details and we will map your current AI visibility baseline plus your first remediation actions.

How It Works

How the Comprehensive AI Visibility & GEO Audit works

This audit is built for direct follow-through: with an AIEthos subscription, we will automatically schedule your first AI Visibility Audit / GEO Audit, the audit process does a deep dive into your brand, and notifies you of the deliverables, and any next actions. Depending on your subscription plan, our team will do either a personal or virtual review of the audit findings, and help you understand the remediation roadmap. We will then re-audit on a regular cadence to track your score lift and continuously identify the next opportunities to improve AI visibility and readiness.

Prompt audit dashboard showing citation and competitor analysis for AI visibility

Featured First Step

See the AI brand audit immediately

The first screen shows the prompt-level audit so users know exactly what the audit covers before they scroll.

Prompt audit dashboard showing citation and competitor analysis for AI visibility

Step 1: AI Brand Audit

Review the prompts, citations, and competitor gaps that shape AI answers about your brand.

Remediation roadmap dashboard with prioritized tasks for improving AI visibility

Step 2: Build the remediation plan

Turn findings into a prioritized roadmap with owners, deadlines, and measurable next actions.

Audit history page tracking AI visibility score trends and audit results over time

Step 3: Track score lift over time

Use audit history and trend tracking to prove that remediation is improving visibility and readiness.

01

Audit the AI visibility baseline

We review model perception, citation sources, schema readiness, and the current AI brand audit picture.

02

Map relevance gaps and lost demand

We identify where GEO audit findings show weak citations, weak messaging match, or missing answer-engine coverage.

03

Apply the remediation roadmap

We turn the audit into a prioritized plan to improve AI visibility, tighten trust signals, and lower wasted CPC.

Diagnose Visibility Gaps

We benchmark how AI systems represent your brand today and identify where competitors are being cited ahead of you.

Prioritize Remediation Roadmap

You get ranked actions by impact: schema fixes, authority source reinforcement, narrative alignment, and prompt-safety patches.

Lift Readiness and Conversion Intent

As trust signals improve, your brand appears more consistently in high-intent AI journeys that influence purchase decisions.

What We Analyze In Every Audit

Model Perception

We query OpenAI, Claude, and Gemini to capture how your brand is interpreted without coaching or hidden context.

Citation Mapping

We identify which external domains are shaping model answers about your offer, category, and authority.

Schema Integrity

A technical review of JSON-LD, page semantics, and entity links so models can parse your expertise reliably.

Hallucination Risk

We flag inaccurate model statements and show the remediation sequence that suppresses recurring misinformation.

How The Remediation Roadmap Improves AI Visibility

1

Baseline Readiness and Citation Health

We score visibility fitness and map source-level authority gaps by model and query type.

2

High-Impact Technical Patches

We prioritize schema, entity context, and internal linking fixes that improve retrieval and citation confidence.

3

Narrative Reinforcement Across Key Sources

We align your strongest claims across owned pages and trusted references so models can validate them repeatedly.

4

Verification Loop and Score Lift

We re-check prompts and model outputs to verify score improvement and identify the next gain frontier.

AIEthos Makes a Difference

  • Audit findings convert AI visibility from a vague brand concern into measurable operational metrics.
  • Remediation roadmap execution raises readiness score and increases the probability of favorable model citation.
  • Stronger citation authority improves buyer trust before they arrive on your site, lifting conversion quality.
  • Iterative monthly audits keep your brand ahead as model behavior, ranking logic, and competitor signals shift.

Outcome focus: higher readiness score, stronger model trust, better qualified AI-driven discovery.

Start Audit Planning