How AEO Platform measures AI visibility and decides what to fix next
The methodology is built for in-house SEO and growth teams that need more than a dashboard. The goal is to show what blocks AI citations, why it matters across AI search, and which change should ship first.
How signals are classified
Observed
Logged crawler visits, referral data, and direct technical checks.
Sampled
Collected answer-engine runs and prompt-response samples.
Inferred
Opportunity scores, correlations, and prioritization models built from the evidence layer.
Generated
AI-written fix packs, briefs, and workflows used for execution.
AEO Platform does not claim perfect attribution or exact prompt demand. Monitoring is directional unless the underlying signal is directly observed.
The audit sequence
1. Audit access and structure
We start by checking whether important pages are accessible, indexable, and easy for answer engines to parse. That includes crawl directives, machine-readable files, schema coverage, AI crawler visibility, and whether the main category and comparison pages are clearly owned.
2. Diagnose missing proof
We look for the assets that usually separate a weak mention from a confident citation: comparison pages, glossary support, pricing clarity, methodology, security, and other trust pages that reduce ambiguity.
3. Prioritize the next fixes
Findings are grouped into a practical sequence. The first fixes usually land on the homepage, compare pages, pricing, and proof pages because those surfaces influence both search discoverability and answer extraction.
4. Recheck and monitor lift
After the fixes are live, the workflow shifts into monitoring. Teams can track whether answer-engine insights, mentions, citations, competitors, and sentiment improve across the engines that matter to their category.
What the methodology is looking for
Technical clarity
Crawler access, AI crawler visibility, schema, canonical ownership, and machine-readable files such as `llms.txt` or discovery profiles.
Commercial page ownership
A homepage that owns the category, a pricing page that answers buying questions, and compare pages that capture alternative intent.
Insights and proof
Methodology, security, glossary support, answer engine insights, and other pages that help answer engines cite you more confidently.
Start with the audit, then expand into monitoring
Run the free audit if you want proof of what is blocking visibility now. Use the pricing page when you are deciding how much monitoring, reporting, and governance your team needs after the first fixes go live.