# GEO Audit: the technical fix list, scored and re-verified

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> In the product: Analytics → GEO Audit. Canonical: https://airpulse.ai/docs/geo-audit

The GEO Audit answers one question: is your site even legible to AI engines? It scores the answer and turns the findings into an assignable fix list.

The audit produces a 0–100 score with a grade band, built from six weighted dimensions: AI Citation (25%), Brand Authority (20%), Content Credibility (20%), AI Platform Presence (15%), Structured Data (10%) and Technical Health (10%). The weights are printed under the breakdown — the score is auditable, not a black box — and the narrative line under the score names the fastest path to the next band. Reports export as XLSX or PDF for stakeholders.

![GEO Audit Report scoring 82 out of 100, grade B Strong, with a six-dimension score breakdown](https://airpulse.ai/docs/geo-audit-overview.jpg)

*GEO Audit → Overview: 82/100, “B — Strong”, with AI Platform Presence flagged as the critical dimension.*

The Action Plan tab turns findings into tasks grouped by owning team, each with a priority and an effort estimate. The loop is the point: the first audit runs manually, then as you mark items Done the platform re-verifies each one — “Fix confirmed” when the re-check passes, “Issue still present” when it does not — and re-runs the audit as the list closes out.

![GEO Audit Action Plan with engineering tasks, priorities, effort estimates and re-verify statuses](https://airpulse.ai/docs/geo-audit-action-plan.jpg)

*GEO Audit → Action Plan. Hand each section to the right team; one click updates status and triggers re-verification.*

## Terms on this screen

- **GEO / AEO** — Generative Engine Optimization / Answer Engine Optimization — earning presence in AI-generated answers, the way SEO earns presence in search results.
- **Structured data** — Schema.org markup (JSON-LD) that lets machines parse what a page is — a repeat offender in audit findings.
- **AI Platform Presence** — Whether your brand exists as an entity on the surfaces engines learn from — knowledge panels, directories, review platforms, social graphs.