What Does AuditZap Check in a Website Audit?

Updated

AuditZap runs 40 checks against a site you submit, covering performance, SEO, security headers, email authentication, TLS, and AI search visibility (AEO/GEO), then returns a 0–100 audit score with issues sorted into Critical, Warnings, and Passed. Each issue comes with an AI-written fix instruction and an impact score, ordered by estimated revenue impact. It's aimed at site owners and marketers who want a prioritised fix list rather than a raw data dump — the crawl covers up to 100 pages and simulates real users on mobile and desktop.

The 40 checks, by category

The audit groups its checks into these areas:

Category What it looks at
Performance Core Web Vitals and rendering issues, e.g. Largest Contentful Paint, render-blocking resources
SEO Metadata and on-page signals, e.g. missing meta descriptions
Quick wins Low-effort fixes, e.g. images missing alt text
Security Security headers
Email auth Email authentication records
TLS Transport layer security
AI Visibility 9 AEO/GEO checks that roll up into a separate AI Visibility score

The AI Visibility checks are the part that distinguishes this from a conventional SEO crawler: they assess how visible a site is to AI search and answer engines, and produce their own score alongside the overall audit score.

How results are presented

A completed audit shows:

  • An overall score out of 100, with a delta against the previous audit (for example, "62 / 100 ↑ +8 from last audit").
  • Issue counts split by severity — Critical, Warnings, Passed — and by category (Performance, SEO, Quick wins, AI Visibility).
  • A per-issue impact score out of 10, used to rank the list.
  • A status per issue — FAIL or WARN — with a link to the detail.
  • An AI Summary describing what is holding the score back and what recovering it is estimated to be worth, e.g. an estimated 18% of lost organic clicks.

Example of a single issue

A failing Largest Contentful Paint on /pricing is reported with the measured value, the page, and the target:

Largest Contentful Paint — /pricing · 5.2s · target 2.5s — Perf — FAIL — impact 10/10

The attached AI fix reads: preload the hero image and give it fetchpriority="high" so the browser fetches it first, then defer the jQuery bundle — cutting LCP on /pricing from 5.2s to about 2.1s. Fixes are written per platform (WordPress, Shopify, Webflow and others), so the instruction matches the stack the site runs on.

Other issues in the same audit follow the same shape: missing meta descriptions across 12 pages (SEO, FAIL, impact 8/10), render-blocking resources such as jQuery 3.6 and analytics.js (Performance, WARN, impact 7/10), and 9 images missing alt text (Quick win, WARN, impact 4/10).

What you get after the scan

Each audit can be exported as a PDF, copied as a .txt for AI tools, or re-run later. Issues can be marked resolved and shared. On the Pro plan, AI fixes appear on every issue, full detail is unlocked, PDF reports are watermark-free, and monitoring covers up to 5 sites weekly.

Practical notes before you run one

  • Input: a single URL. The crawler follows up to 100 pages, so very large sites are sampled rather than fully covered.
  • Time: results in about 2 minutes.
  • Access: 3 free audits a month, no credit card required to start. The page lists "Simple pricing" but does not state amounts, so check the pricing page for current figures.
  • Interpreting the score: treat the impact score, not the raw count of failures, as the ordering signal — a 10/10 LCP failure and a 4/10 alt-text warning are not equivalent work.
  • Verification: after applying a fix, re-run the audit and compare the score delta and the specific metric (for example, LCP against its 2.5s target) rather than relying on the overall score alone.