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.
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
Signal Lift
Baseline: 52
Post-remediation: 74
Demonstrates how roadmap execution increases AI readability, citation confidence, and recommendation trust.
Share your site details and we will map your current AI visibility baseline plus your first remediation actions.
How It 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.

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

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

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

Use audit history and trend tracking to prove that remediation is improving visibility and readiness.
We review model perception, citation sources, schema readiness, and the current AI brand audit picture.
We identify where GEO audit findings show weak citations, weak messaging match, or missing answer-engine coverage.
We turn the audit into a prioritized plan to improve AI visibility, tighten trust signals, and lower wasted CPC.
We benchmark how AI systems represent your brand today and identify where competitors are being cited ahead of you.
You get ranked actions by impact: schema fixes, authority source reinforcement, narrative alignment, and prompt-safety patches.
As trust signals improve, your brand appears more consistently in high-intent AI journeys that influence purchase decisions.
We query OpenAI, Claude, and Gemini to capture how your brand is interpreted without coaching or hidden context.
We identify which external domains are shaping model answers about your offer, category, and authority.
A technical review of JSON-LD, page semantics, and entity links so models can parse your expertise reliably.
We flag inaccurate model statements and show the remediation sequence that suppresses recurring misinformation.
We score visibility fitness and map source-level authority gaps by model and query type.
We prioritize schema, entity context, and internal linking fixes that improve retrieval and citation confidence.
We align your strongest claims across owned pages and trusted references so models can validate them repeatedly.
We re-check prompts and model outputs to verify score improvement and identify the next gain frontier.
Outcome focus: higher readiness score, stronger model trust, better qualified AI-driven discovery.
Start Audit PlanningEnter your details to see how AI models perceive your brand footprint.
Try the Pro plan free for 7 days. Cancel anytime in-app.