# Audit a landing page with AI

> Use AI to review a landing page for functional, mobile, copy, and structure issues. Get a prioritized fix list and verify each change before publication.

- Canonical: https://pageree.com/guides/ai-landing-page-audit/
- Published: 2026-09-15. Updated: 2026-09-15.
- Collection: Guides (https://pageree.com/guides.md)
- Site index for agents: https://pageree.com/llms.txt

**The short answer.** An AI audit is a structured inspection, not proof of conversion performance. Give the assistant the page and the intended goal, ask it to separate observed defects from suggestions, and fix the issue most likely to block the visitor's next step.

## Separate observed issues from suggestions

An AI audit is useful when it produces a short list of problems supported by evidence. It is less useful when it assigns a confident score to a page it has not actually opened.

Give your assistant the public URL or the actual HTML, the intended audience, the offer, and the primary action. Say which tools or account information it may use. If it cannot inspect something, the report should mark that check as unverified.

## Review the page in five passes

### 1. Offer and factual accuracy

Check whether the headline names a recognizable outcome and the page explains the service or product. Verify prices, availability, credentials, testimonials, and customer claims against material you provide. Remove invented proof rather than rewriting it to sound more plausible.

### 2. Usability and accessibility

Inspect the actual mobile layout, keyboard focus, labels, text contrast, image alternatives, and error states. Automated checks can catch some issues, but a manual journey is still needed. See [W3C's Easy Checks](https://www.w3.org/WAI/test-evaluate/preliminary/) for a practical starting point.

### 3. Forms and delivery

Distinguish the rendered form, server acceptance, and final destination. Confirm that fields have names, the action is configured, and the success message describes the completed step. A production submission test should use details you control and should be followed through to the destination.

### 4. Search and sharing

Inspect the title, description, canonical URL, heading structure, crawlability, and internal links. Check that the share image is publicly accessible and the preview title matches the page. Structured data must describe visible content; adding it does not guarantee a special search appearance.

### 5. Measurement

Check which outcomes are actually recorded and how they are defined. Note the reporting period and any known delay. Analytics can suggest questions, but cannot prove why a particular person did not enquire.

## Copy this audit prompt

```text
Audit [public URL or supplied HTML] for [audience and offer].
The primary action is [action]. Approved facts: [source material].

Review offer clarity, factual claims, mobile usability, keyboard access,
form behavior, delivery configuration, metadata, crawlability, internal
links, share preview, and measurement.

For every finding give:
- the observed evidence or exact element;
- why it affects the intended visitor;
- severity: blocks the journey / materially confusing / improvement;
- the smallest useful fix;
- how to verify the fix.

Separate observed issues, hypotheses, and unverified checks.
Do not submit forms, change external accounts, or publish changes
unless I authorize those actions. Do not invent test results or scores.
Finish with the three most useful next actions.
```

## Turn the report into a manageable change

Fix a broken primary action before polishing secondary content. Correct false claims before experimenting with persuasion. Group related layout issues when they share a cause, but avoid a complete redesign if a smaller change addresses the observed problem.

For Pageree, ask the assistant to edit the existing page ID and save a draft. Review the change before publishing. Test the affected journey again after publication; a change to form markup can alter field delivery even when the page looks similar.

## Keep a record of what was verified

| Audit record | Example of useful wording |
| --- | --- |
| Observed issue | “The email field has no visible label.” |
| Hypothesis | “The next step may be unclear to first-time visitors.” |
| Unverified | “CRM delivery was not tested; account access was unavailable.” |
| Completion evidence | “A controlled public submission appeared in the chosen inbox.” |

Use the [interactive launch checklist](https://pageree.com/tools/landing-page-launch-checklist/) to track your own checks. For a search-focused review, follow the [landing page SEO checklist](https://pageree.com/guides/landing-page-seo-checklist/); for weak results after launch, use the [conversion diagnosis guide](https://pageree.com/guides/landing-page-not-converting/).

## Related
- [Make an AI-built landing page work on mobile](https://pageree.com/guides/mobile-landing-page.md): Check mobile layout, keyboard behavior, labels, image loading, and live form delivery. Includes a source-based example and a practical reader-run test procedure.
- [Landing page not converting? Find the actual problem](https://pageree.com/guides/landing-page-not-converting.md): Separate traffic, offer, form, and measurement problems before redesigning. Follow a practical diagnostic sequence and choose one useful fix at a time.
- [Ask AI to analyze your landing page](https://pageree.com/guides/ai-landing-page-analytics.md): Read traffic, goals, and section engagement with your assistant. Learn which questions to ask, what the metrics mean, and when to wait for more data.

## Build it with your agent

Pageree is an MCP server. Add https://mcp.pageree.com/ to an MCP client that supports Streamable HTTP and OAuth, sign in, and the agent can build, publish and measure the page. Setup for every supported client: https://pageree.com/docs.md. Sign up: https://console.pageree.com/signup.