AI systems may recommend competitors with clearer evidence.
Audit your AI visibility
AI Visibility Audit
Use Surfaced to run a free audit of the public signals AI answer engines may use to understand, compare, and recommend your brand.
The audit gives you a practical starting point: a diagnosis, evidence labels, competitor context when available, and a first fix.
View Example ReportNo credit card needed. Uses the existing Surfaced free scan flow.
Recommendation risk
AI visibility problems are often hidden in plain sight
A website can look polished to humans while giving AI systems weak category, proof, or structured signals. The audit turns those gaps into fix priorities.
Your brand may be misunderstood because key facts are buried or missing.
Buyer-question answers may omit your brand from relevant shortlists.
Traditional SEO health does not prove AI systems can recommend you.
What Surfaced checks
AI visibility audit, exact fix plan, monitoring, and proof of improvement.
Surfaced checks brand understanding, recommendation readiness, competitor context, visibility blockers, and the fix plan a team should prioritize first.
Whether AI understands the brand, category, and core offer.
Whether AI recommends the brand for buyer questions.
Whether competitors appear before the brand or instead of it.
What issues may be blocking visibility in AI answers.
What fix plan to prioritize, with monitoring and recurring reports for paid plans.
Example report preview
See the report format before running your audit.
See a sample of how Surfaced shows AI visibility, competitor mentions, fix priorities, and monitoring context.
View Example ReportFor paid plans
Turn the snapshot into weekly buyer-question monitoring.
Free reports are a snapshot. Monitoring shows whether competitors keep appearing before you and whether fixes improve your recommendation status.
Who this is for
Who should run an AI visibility audit?
This page is for teams that want a concrete report before deciding what to fix or monitor.
Founders checking whether the site explains the company well enough for AI.
Marketing teams preparing AI search and answer-engine improvements.
Consultants auditing a client site before recommending a roadmap.
FAQ
Questions about ai visibility audit
These questions cover what the audit includes and how to use it.
What is included in an AI visibility audit?
Surfaced includes an AI visibility score, brand-understanding diagnosis, buyer-question context, competitor context when available, visibility risks, and a first fix.
Is the audit based on private data?
No. The audit is based on public website signals and sampled checks. It does not require private customer data or internal documents.
How is this different from a technical SEO audit?
Technical SEO audits focus on crawlability and search performance. Surfaced focuses on whether AI systems can understand and recommend the brand for buyer questions.
What happens after the free audit?
You can use the first fix immediately. Paid plans add the full Fix Plan, monitoring, report history, proof reports, and alerts.
Does the audit guarantee AI citations?
No. The audit identifies blockers and opportunities. It does not guarantee rankings, citations, recommendations, or model behavior.
Start with a free snapshot
See whether AI recommends competitors before it recommends you.
Run the same free audit flow from Surfaced. You will get a snapshot of brand understanding, recommendation context, visibility blockers, and the first fix to prioritize.