Audit engine

A senior reviewer, running on every page.

Behind each Audaitly report is a five-stage pipeline: discover the site, crawl it in a real browser, analyze it with our audit AI, verify every finding against evidence, then prioritize what to fix first.

The pipeline

From a URL to a fixable report, in five stages.

Each stage feeds the next, so by the time a finding reaches you, it has already been seen, checked and ranked.

1

Discover

We map the site's key pages, following its structure to find what actually matters: the landing pages, the funnels, the routes real visitors take.

2

Crawl

A real browser session loads each page at multiple viewports, capturing screenshots, the rendered DOM and network activity, exactly what a visitor's device would see.

3

Analyze

Our audit AI reads every page like a senior reviewer, across all twelve categories at once: UX, SEO, performance, conversion, content, accessibility, forms and more.

4

Verify

Findings are evidence-backed and confidence-scored. Weak or borderline ones get re-checked before they ever reach your report, so you can trust what you see.

5

Prioritize

The criticals surface first, organized page by page, each finding written in plain English with a clear, fixable next step.

Under the hood

What each stage actually does.

The five stages are simple to describe. The engineering underneath them is what makes the findings trustworthy.

A real browser, not raw HTML

Pages load in a real browser: JavaScript runs, fonts load, layout settles. Audaitly analyzes what a visitor's device actually renders, not raw HTML.

Multi-viewport capture

Every page is captured at desktop, tablet and mobile widths, because half of all layout and CTA issues only exist at one of them.

DOM, network and screenshots

Each crawl keeps three kinds of evidence: the rendered DOM, the network activity behind it, and full-page screenshots at every viewport.

Deterministic checks for measurable things

Contrast ratios, missing alt text, heading order, metadata: anything measurable is checked exactly, with no model in the loop to get it wrong.

AI for judgment calls

Hierarchy, tone, trust and intent are judgment calls no rule can express. Our audit AI reads each page the way a senior reviewer would.

Confidence scoring and re-verification

Every finding gets a confidence score. Weak or borderline ones are re-checked against the evidence in a second pass before they reach the report.

Efficient at any site size

Deep crawls stay fast and affordable whether the site is a five-page brochure or a five-thousand-page store, so depth never forces a trade-off with cost.

What makes it different

Most audits guess. Ours proves.

Evidence, not guesses

Every finding points to a screenshot, a DOM element or a network trace. If Audaitly flags it, it can show you exactly where, so nothing is a vibe.

Catches the small things

AI-copy tells, fake trust signals, micro-detail drift, punctuation and symbol inconsistency. The details a human skims past, Audaitly reads every time.

Checks plus judgment

Deterministic checks catch the measurable things exactly, while AI judgment reads intent and nuance. Together they cover far more than either does alone.
Evidence you can defend

Hand the report to a client without caveats.

An audit is only as good as your willingness to stand behind it in front of a client. Every Audaitly finding ships with its proof attached.

  • Every finding cites the exact element, screenshot or measurement behind it.
  • When a client asks “are you sure?”, the answer is a screenshot, not a shrug.
  • Agencies forward reports as-is: no softening, no disclaimers, no rewriting.
Attached to every finding
The element
the exact node in the rendered DOM
The screenshot
annotated, at the viewport where it happens
The measurement
the number that tripped the check, when there is one
Built on frontier AI

Frontier intelligence, private by default.

Audaitly runs on frontier AI models, the same class of intelligence used by serious engineering teams, applied to reading web pages the way a great reviewer would.

  • Your sites, findings and reports are never used to train the models.
  • We use the models via API, which does not retain your content for training.
  • Read the full detail on our security page.
Frontier intelligence, your data stays yours
Frontier AI models
the reasoning behind every finding
No training on your data
your content is never used to train models
API-only
no retention of your sites or reports
Engine vs checklist tools

Why this is not another scanner.

Scanners find patterns. Audaitly reads pages.

Checklist tools match selectors and regexes against markup. Audaitly reads the rendered page the way a person does: layout, copy, intent and all.

Scanners stop at rules. Audaitly explains and prioritizes.

A rule can tell you what tripped. Audaitly tells you why it matters on this page, how severe it is, and what to fix first.

Scanners dump warnings. Audaitly writes findings.

Instead of four hundred undifferentiated warnings, you get fixable findings written in plain English, ranked so the criticals come first.

Point it at a site. See it work.

Audaitly is invite-only while we onboard our first cohort of agencies. Request access and we’ll be in touch.