Feature
diagnosis

Technical AEO Audit

Find every technical issue that blocks AI crawlers from reading, indexing, and citing your content.

Quick answer
Before you can optimise content for AI engines, you need to ensure those engines can access it. Technical AEO Audit scans your site for the infrastructure-level issues that prevent AI crawlers from discovering and extracting your content: misconfigured robots.txt rules, missing llms.txt files, absent or broken schema.org markup, JavaScript-rendered content that crawlers cannot parse, and .well-known configuration gaps.
How it works

Technical AEO Audit in detail

The audit begins with a crawl of your site that mirrors the behaviour of major AI crawlers — GPTBot, ClaudeBot, PerplexityBot, and others. The crawler checks each page for accessibility, rendering completeness, and structured data presence. Simultaneously, it inspects site-level files: robots.txt, llms.txt, sitemap.xml, and .well-known/ai-plugin.json.

Findings are organised into five audit categories: crawler access (robots.txt rules, crawl directives, IP-level blocks), content parsability (client-side rendering, iframe-heavy layouts, content behind authentication), structured data (schema.org markup, JSON-LD validity, entity completeness), AI-specific configuration (llms.txt, .well-known files, meta directives for AI), and performance (page speed factors that affect crawl depth and extraction quality).

Each finding includes a severity rating (critical, high, medium, low), a plain-language explanation, the affected URLs, and a step-by-step fix instruction. Findings are linked to the Action Plans feature so you can convert audit results into assigned tasks. Re-auditing after fixes shows what has been resolved and what remains, giving you a clear progress trail.

Benefits

Why Technical AEO Audit matters

1

Identify technical blockers that prevent AI crawlers from accessing your content

2

Get severity-rated findings with step-by-step fix instructions

3

Cover robots.txt, llms.txt, schema.org, rendering, and .well-known files in one scan

4

Convert audit findings directly into prioritised action plans

5

Re-audit to verify fixes and track technical health over time

Use cases

When to use Technical AEO Audit

A head of SEO runs an audit before starting an AEO programme and discovers that GPTBot is blocked in robots.txt.
A developer uses the audit report to prioritise server-side rendering for the five highest-value pages.
An agency includes technical audit scores in client onboarding to set a visibility baseline.
A content team discovers that their FAQ schema is malformed, preventing AI engines from extracting answers.
FAQ

Technical AEO Audit FAQ

Get started

Start with the pages and proof that AI can actually use

Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.